Three years after Oct. 7: The battle over Jewish belonging - #0104, Charles Asher Small
mardi 6 octobre 2026 • Durée 47:57
Three years after October 7, the conversation about antisemitism reaches far beyond the immediate aftermath of the attacks. It touches universities, political movements, foreign funding, and the everyday decisions Jews make about belonging.
This week, I spoke with Charles Asher Small about how those all connect, and what he believes institutions and Jewish communities should do next.
Small leads the Institute for the Study of Global Antisemitism and Policy (ISGAP). He described its ambition to connect academic research with public policy, and our conversation followed that path: from a broad diagnosis of democratic fragmentation to questions about evidence, university leadership, and Jewish identity.
His opening argument was that antisemitism thrives amid wider social and institutional weaknesses. He described the extreme left, extreme right, and radical political Islam as different forces attacking the democratic centre. In his analysis, hostility towards Jews provides a point of convergence between movements that otherwise have little in common.
Foreign influence and the institutions shaping opinion
That led us to ‘strategic entryism’, the term his team uses to describe ideological influence entering established institutions. Small focused on the Muslim Brotherhood and Qatar, arguing that funding and networks can advance the movement’s ideas within Western universities and cultural life, something I have covered separately at JNS. He sees universities as especially consequential because they educate future journalists, professors, and political leaders.
He argues that the financial pressure faced by universities makes them more receptive to outside money, while the ideas circulating within them eventually reach wider society - a serious allegation about institutional influence.
“If you think of what happened at universities on October the 8th, 2023, this to me is a watershed moment where people, I think, were shocked,” he said. “But this has been sort of in the works for decades.”
I wanted to understand how his team measures the impact of the funding it identifies, beyond pointing to protests or shifts in rhetoric. He cited ISGAP’s 2023 “Networks of Hate” report, saying universities receiving Qatari funds had “300% more instances of antisemitism” than those that did not, although he acknowledged the difficulty of scientifically proving the broader ideological relationship he described.
The exchange raised an essential question: how do we establish what money changes, as well as where it goes?
Criticism, antisemitism, and the question of belonging
We also discussed his concerns about propaganda and social media. While the central focus of ISGAP has been the Muslim Brotherhood and Qatar, Small described Iran, Russia, and China as contributing to an environment that fragments Western societies through infiltration and propaganda, including the use of bots.
It was here I wanted to challenge him. Universities have long been places of protest, and I believe Israel’s government is as open to criticism as any other. So where does legitimate political opposition end, and antisemitism begin?
“We have to define antisemitism in a scientific, comprehensive manner that allows for criticism,” he said, accepting that Israeli policies can be criticized. But institutions must also recognize rhetoric and movements that dehumanize Jews.
Later, he spoke about Jewish families questioning whether they could remain in countries where they had lived for generations (something I have written about before), and framed this vulnerability as a warning about the condition of democratic citizenship.
The new Hebrew University-European Forum Barometer offers a passing echo of those concerns: Israeli respondents overwhelmingly viewed Israel as safer for Jews than Europe, while Jewish Israelis reported strengthened Israeli identity. Those are perceptions, rather than a test of Small’s explanations, but they show how immediate questions of safety and belonging have become.
When I asked what he would do as a university president, Small’s answer began with education. Students should study democratic principles and understand their responsibilities as citizens, he argued.
“To live in a democratic society, every generation has a choice.”
We discussed greater transparency around foreign university funding and ISGAP’s efforts to turn research into policy through the DETERRENT Act, a congressional bill designed to increase oversight and lower reporting thresholds for foreign gifts and contracts at colleges and universities that receive federal student aid. The House of Representatives passed the bill in March 2025, and it has been referred to the Senate.
“Jewish Consciousness” and life after October 7
The conversation's final turn came when Small described ISGAP’s Jewish Consciousness framework, which draws parallels from South Africa’s anti-apartheid movement and the influence of Black Consciousness.
He argued that we Jews should define ourselves by drawing on our own traditions, knowledge, and history rather than accepting labels imposed onto us by hostile outsiders.
I raised what I called “the hijacking of history”: How Israel’s critics exploit language associated traditionally with Jewish persecution, and apply it against Jews themselves. “One of the things that we need to do is define ourselves based on our terms,” he replied.
That thought brought the episode’s different strands together. Small’s proposed response combines research, institutional accountability, democratic education, and a deeper understanding of Jewish identity. Our conversation moved between what others say about Jews and what Jews can say about themselves.
Three years ago, questions were urgent and immediate: security, safety, who was funding what. This episode suggests those questions remain, but have evolved beyond how institutions should respond to antisemitism, toward who gets to define what being Jewish even means while that fight continues.
[Preview: “Strategic Entryism”: How Qatar’s money entered America’s universities]
Founders are bringing Claude to their therapy sessions - #0103, Yael Daniely
mardi 29 septembre 2026 • Durée 48:35
There was a moment in my latest conversation with startup psychologist Yael Daniely that surprised me. She described someone who walked into her clinic and asked to keep his laptop open so that Claude could run live for the entire session.
“He came with Claude to the room and asked to keep Claude open because he must be in contact with Claude and give him [updates]… because Claude is working and he must be reactive to him. Otherwise Claude will be stuck.”
She said no. “It wasn’t easy for him to close the laptops slowly, slowly.” He couldn’t understand why, in that moment between founder and therapist, the chatbot needed to be left at the door.
It’s a funny image, but it speaks to something much larger happening among founders in tech.
Yael Daniely has spent years researching the psychology of the individual founder, but also the relationship between co-founders and, interestingly, the relationship between a founder and their family spouse. Over her career, she has helped individuals and pairs work through trauma, anxiety, financial concerns, and (increasingly) the impact that AI has on their roles and identity.
She described that moment in her office as a symptom of something bigger than one dependent client. AI isn’t just changing how founders build companies; it’s becoming a relationship for some of them. “Everyone says that their best friend now is ChatGPT... they can share all their dreams, secrets, fears, and emotional burdens and issues with their partner with ChatGPT.”
Daniely is not dismissive of AI as a source of support. She said a conversation with a chatbot in the middle of a sleepless night may help someone calm down, and that some tools can complement therapy. Her concerns are placed in founders who put too much emphasis on a responsive machine that can supply everything a person needs from a relationship.
“They cannot completely take over the connection and the relationship that’s happening in the room with the therapist,” she said.
AI has entered the chat
The intense capital around these technologies is mirroring the emotions. Global startup funding hit in the first half of 2026, the biggest half-year in venture capital history, with AI startups accounting for around 77% of all that investment.
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Everyone at the UN wants AI rules except Trump (and he might be right) - #0102, Alexander Piskunov
jeudi 24 septembre 2026 • Durée 38:58
I recorded a conversation yesterday with Alexander Piskunov, a government AI advisor and founding partner at KAAN Ventures, at a strange little intersection of timing.
UN Secretary-General António Guterres had just used his address to call for a multilateral AI risk framework. Sam Altman and Dario Amodei were preparing to appear before the Security Council. And President Trump, predictably, was telling the room that the US had no interest in slowing down.
Eventually, the Security Council session happened - specifically because it felt AI’s security implications weren’t getting enough attention.
Yoshua Bengio, who co-chairs the UN’s scientific panel on AI and is considered a “Godfather of AI”, went first and told council members the dangers posed by advanced AI are “real and imminent.” Amodei warned that AI could become a risk to humanity itself, while Altman pushed for shared global benchmarks to measure AI capabilities and the safeguards companies claim to have in place.
I asked Piskunov the obvious question: does America actually have the leverage to just ignore all of this?
“It’s still quite important to separate rhetoric from the actual steps that would be made,” he replied. It made much of what is happening at the UN this week sound less like policy and more like theater. Effective theater for some, perhaps, but theater nonetheless.
Piskunov is the founding partner of KAAN Ventures, where he's spent the past decade backing deep-tech investments across the US, Europe, and Southeast Asia. More recently, he's shifted into advising governments (Pakistan, South Africa, Kazakhstan, South Korea, among them) on how to build an AI strategy from a position that isn't the US or China.
He doesn’t think Trump’s refusal to engage is dangerous or ignorant, as many believe. He thinks his position makes strategic sense, given the shape of the game governments are playing.
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The executive philosophy of ‘Structured Risk’ - #0101, Uzi Krieger
dimanche 20 septembre 2026 • Durée 40:33
Uzi Krieger has jumped from planes, descended into underwater caves, and skied slopes steep enough to unsettle most people’s stomachs.
When I asked what draws him to it, he put it down to a philosophy he lives by. “I think it’s a theme in life of being a little bit of an explorer,” he told me. “I don’t want to say ‘living on the edge’, but trying to see how far you can go, how hard you can push, and do it in a very structured way.”
For Krieger, now General Manager of Cloud Security and Exposure Management at CrowdStrike, risk is not about recklessness. “It’s not just about jumping off a cliff or diving hundreds of feet underwater,” he explained. “It’s more about taking on a challenge and trying to see how far you can get… That’s how I’ve approached extreme sports, or work, or almost everything I do in life.”
The idea of “structured risk” is interesting to me. I learned it personally at a young age when obtaining my SCUBA license: Plan your dive, dive your plan, I was told. It’s something that also grounds my decisions as I grow my independent media venture after departing from corporate newsrooms last year.
Krieger was the right person to speak to about this idea and how he applied it across his career. He started in corporate America’s telecom sector, running a business unit inside a large, publicly traded company, until he left to pursue something else. “Very early on I realized that moving fast and being able to get really good results is something that can only happen in Startup World,” he explained, which is also what attracted him to Israel’s startup ecosystem.
He went on to found and run several companies, most notably Reposify, an external attack surface management company which CrowdStrike acquired in 2022. CrowdStrike's leadership asked him to help bring more “founder DNA, startup DNA” into the organization.
Krieger credited the mentors of his early startup years with teaching him that line between risk and recklessness. “They had a very unique combination of very strong conviction and an extreme, structured, almost scientific way of how you get to being successful,” he told me. It comes down to preparation, not appetite: “You want to take risk, but it’s not just any risk. Where’s the passion? Are you really all in? What is the plan? Are you actually building a plan, or are you just trying to wing it?”
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AI is breaking the data loss prevention model - #0100, Nitay Milner & Emily Fontaine
lundi 14 septembre 2026 • Durée 37:18
Well, here it is: Episode 100 of The Spiro Circle.
When I recorded the first episode 18 months ago, I had a rough idea of what this show could be. I wanted it to be a place where long-form conversations about Israeli tech, geopolitics, or society could get broader attention.
Now, with a growing audience across 20 countries and partnerships with international media channels like Forbes, I am proud to see what it is becoming, and that these conversations are getting the attention they deserve. Startup Nation yearned for long-form English conversation, and I am pleased to be helping fill that missing gap.
For the 100th, I brought in Nitay Milner, co-founder and CEO of Orion Security, and Emily Fontaine, Global Head of Venture Capital at IBM Ventures, to talk about why every major company should rebuild its data security strategy in this AI era.
I find it fitting that our conversation on how a large corporate company saw potential in a scrappy Israeli startup was positioned as the 100th episode.
Thanks to all who have joined to share their stories so far, and thank you to all those who keep tuning in.
Onwards to 200. - JS
The data loss prevention industry has organized itself around a relatively stable threat model.
A disgruntled employee may copy files to a USB drive. Or a phishing attack could expose credentials to an outside attacker. Maybe someone accidentally CCs the wrong person on an email with sensitive information. Solutions focused on perimeter controls or policy rules were imperfect, but understandable when the threats were often caused by humans.
But that model is no longer sufficient. According to research by Cyberhaven Labs, whose 2026 AI Adoption and Risk Report analyzed data movements across 222 companies, nearly 40% of all AI interactions now involve sensitive data, with the average employee inputting proprietary information into an AI tool once every three days.
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Meta’s $16.7 billion fine is a win for this Israeli VC thesis - #0099, Oren Charnoff
dimanche 6 septembre 2026 • Durée 55:02
For two decades, the winning formula in consumer tech was simple: maximize time on screen. Last month that formula got a multibillion-dollar price tag attached to it when Meta agreed to pay roughly $17 billion to settle a multistate lawsuit alleging Facebook and Instagram were deliberately engineered to be addictive to teenagers.
Now, one Israeli investor thinks the backlash could create an opening for a very different kind of consumer product, and for a new generation of Israeli founders.
Oren Charnoff is the Co-founder and a General Partner at Sticker Ventures, a Tel Aviv early-stage fund that invests exclusively in Israeli B2C startups. He sees the settlement as validation of a thesis his fund was already investing behind, based on changing consumer habits among young people. “We want to find more companies whose goal is not to increase time spent on the app,” he said. “We hope to see more ‘IRL’ things being built by Israelis.”
He points to two U.S. examples he admires. The first, Tin Can, is a landline-style phone that plugs into the wall, paired with an app that lets parents approve who their kids can call; Charnoff says it’s doing roughly $80 million in annualized revenue. The second is Board, a digital game console built entirely around in-person play. “The only way that you can interact with it is with another person with you,” he said.
Closer to Sticker’s own market, Charnoff cites Edikted, the Israeli-founded Gen Z fashion label, which The Wall Street Journal recently reported as achieving roughly $460 million in revenue: “They crush it on retail. They crush it for offline discovery.”
Startup Nation’s advantage in the changing market
The shift makes it perfect timing for Israel’s tech DNA to tap into adapting markets. Startup Nation has accumulated decades of expertise in adtech, gaming, fintech and cybersecurity, producing a generation of founders trained to measure, test and optimize. Add to that a new type of internet-native, young immigrant to Israel who is a product of globalization, and those skills can be unleashed on the world’s biggest GDP category: consumers.
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Israel’s politicians are coming for the podcasts - #0098, Guy Katsovich
mardi 1 septembre 2026 • Durée 46:13
Guy Katsovich and I sat across from each other in our shared studio a few weeks ago, discussing what happens when podcasting moves from the media ecosystem into the campaign trail.
Let’s set the scene: We are both former journalists, now running separate podcast operations (one in English, one in Hebrew), and talking about what happens when an interview format becomes part of an election strategy. Katsovich is the co-founder and partner at Fusion VC, a pre-seed platform and a longtime Israeli podcaster, and expects that trend to accelerate as election day approaches.
“If you look at the trend, I would assume... they’ll be interviewed by more and more podcasters... the closer we get to election day,” Katsovich told me.
The 2024 U.S. election showed just how powerful podcasts could become as a political campaign tool, with candidates increasingly opting for long-form conversations that offered more time and unfiltered depth - something traditional television can rarely provide.
Israel’s next election, scheduled for October 27, is already generating a growing political podcast ecosystem, from dedicated election shows to established interview programs. Prime Minister Netanyahu’s campaign has leaned into a circuit of small, friendly podcast studios in recent weeks, trading hard questions for a more intimate, folksy format that lets a candidate control the narrative in ways a more adversarial Channel 12 or Channel 13 panel never would.
Katsovich sees the same pattern and traces it to an obvious source: “Everybody now follows Trump’s steps and tries to interview [on] as many podcasts as they can.”
His show, The Guy Katsovich Podcast, now reaches, he told me, “more than 200,000 people... every month,” almost entirely inside Israel. He’s hosted Yair Golan, Gadi Eisenkot, Bezalel Smotrich, Simcha Rothman, and with an election bearing down, he expects the guest list to grow: “I might do a roadshow for all the politicians that wanna come on the podcast.”
Israel appears to be the latest country that is redistributing its political access during election cycles. Katsovich’s read is that as October nears, “those podcasts will carry more and more weight in how people make their decisions,” because a long-form sit-down is “a real opportunity to really meet and see a politician for one hour” in a way a ninety-second clip cannot replicate.
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Can 'cleaner' data centers win over America’s NIMBYs? - #0097, Emmanuel Levy
mardi 25 août 2026 • Durée 43:55
America’s fight over data centers is becoming a mainstream political staple. Seven in ten Americans say they don’t want a data center near their home, and more people now believe these facilities harm their community than help it, according to recent polling cited by industry trackers.
Opposition has more than doubled across 49 states over the past year, and in the first quarter of 2026 alone, an estimated $130 billion in data center projects were blocked or delayed by local resistance.
It’s not even a culture war. The backlash against them cuts across party lines: Republicans tend to object on tax incentives and grid strain, whereas Democrats oppose on environmental and resource use. The reasons may differ, but their mutual opposition is a rare instance of bipartisan alignment in American politics.
Into this landscape steps Phinergy. It’s an Israeli cleantech company whose aluminum-air backup generators have become an alternative to diesel in the AI infrastructure race, seeing early support from players in an impressive Google- and Microsoft-led innovation consortium. I spoke to its CEO Emmanuel Levy, who laid out a thesis that the “NIMBY” reflex against data centers collapses once three specific, solvable grievances are addressed.
“People are caring about [them] and are afraid... whether it is pollution, whether it is noise, or it is water consumption,” Levy told me. “If you’re able to explain why a new data center can come without this price on the shared resources, you’re able to bring the debate back to where it should be.”
It’s a clean, testable claim. In Colorado Springs earlier this year, a proposed data center drew objections almost identical to the ones Levy’s technology is designed to neutralize: noise and air pollution from backup diesel generators, and water consumption. The developer countered with a water-efficient, closed-loop cooling design and pledged 60 to 100 permanent jobs. But it didn’t defuse the fight.
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Beef’s price surge could give fake meat a second chance - #0096, Amos Golan
jeudi 20 août 2026 • Durée 38:53
I’ll admit it upfront: I’ve tried alternative meat on my own barbecue, and they’ve never been exactly a slam dunk for me. So when I sat down with the Chunk Foods founder and CEO Amos Golan for this latest episode, I wasn’t chasing a hype piece on the wonders of foodtech. I’ve written those stories before. What I wanted to know was whether the economics of fake meat had finally changed.
Turns out there is a number that can make that argument: $6.83, the price of a pound of ground beef in the US as of July 2026.
Beef steaks averaged $12.80 a pound back in May, up 16% year-on-year; the national cattle herd is sitting at its smallest size in 75 years. These Bureau of Labor Statistics numbers show a worrying trend for families and young people seeking affordable protein sources.
Chunk offers clean-label, plant-based whole cuts that look (and cook) just like beef. And today’s price rises may be a way for the fake meat industry to undergo somewhat of a comeback.
Golan has been watching this trend as closely as I have. “You don’t need to just talk about the need for the price of [fake] meat to go down,” I said to him. “You can also talk about the price of meat going up.” His answer: “Exactly.”
He’d already walked me through the math before I said it. “Ground beef in the US used to cost $4 [per pound]. Now it’s $5, $5.36. A steak is $10 to $20 a pound.” That was true when we recorded this episode in June, but beef has kept climbing since, which is, for those of us doing the weekly shop, the whole point of his pitch.
Chunk’s bet was never to compete with beef on ideology. People like me who genuinely like eating meat aren't suddenly going to stop because someone tells us it's better for the planet. “The experience needs to be good enough. The price needs to be good enough, ideally cheaper than meat,” he added. He was blunt that this is a demographic shift, not a moral one. “People are less altruistic, I’d say, at least externally, in how they talk about the food they consume.”
Ultimately, beef isn’t getting cheaper anytime soon. Forecasts put 2026 beef price increases as high as 18%, and analysts aren’t projecting relief into 2027. Chunk doesn’t need to win me over on taste alone. It needs the gap between $6.83 and its own shelf price to keep doing the argument for it.
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AI is changing what venture capitalists actually do - #0095, Arik Kleinstein & Amit Spitzer
dimanche 16 août 2026 • Durée 49:40
Glilot Capital’s internal AI agent has a name and a full-time job - Elliot. It reads deal memos, surfaces founder meeting summaries, coordinates diligence advisors, and routes work across one of Israel’s most prominent VC funds.
Amit Spitzer, Glilot’s CTO and CISO, built it largely on his own, without a dedicated budget, while running the fund’s security operations in parallel.
“We need some super agents, some super tools, some ‘super employee’,” he told me. “That were able to connect to all the tools and all the processes and basically help streamline every manual work that used to be done up until that point.”
Arik Kleinstein, Glilot’s co-founder and managing partner, added that before the agent existed, an investment decision required five to ten diligence calls conducted manually. Now, the firm can screen advisors, make contact, present a company, and schedule calls at a pace that would have been unimaginable three years ago. And since Glilot is a seed and early-stage investor, operating in a market where the window between a promising founder and a closed round can be very short. An ‘employee’ like Elliot can help VC funds find their next gold mine.
Yet for all of its assistance, Kleinstein maintains that the agent cannot do the actual job. “If you invest very early, you invest basically in two things,” he said. “One, the team, and in their imagination. And AI is not a team, and AI doesn’t really have a good imagination.”
The difference between what AI accelerates and what it cannot replace carries broader implications for how the industry should think about the technology it is rushing to adopt. Even I, as a writer, admit to using the technology in my work; transcriptions take seconds instead of hours, and I have tweaked my agents to be harsh in their review of my work before I submit to a (human) editor. It means I have more time for research and deeper conversation with my guests.
In Glilot’s instance, the fund is as committed to AI as any in the market, and it evaluates every investment, in the words of managing partner Lior Litwak, “through a GenAI lens.” But Kleinstein and Spitzer make a sharp distinction between AI as infrastructure and AI as judgment. While AI in our workflows is indeed transformative, the ability to assess an unproven founder's leadership potential remains out of reach — at least for the investing Glilot does.
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Three companies (OpenAI, Anthropic, and xAI) that build addictive chatbots were behind $237 billion of that total.
Against this backdrop, the impact of AI is actually two-fold. Not only are founders forming attachments to their AI tools, but they’re also watching the technology overhaul the entire process of work, causing them to develop existential questions surrounding self-worth and identity.
For CTOs, she said, the shift has triggered something closer to professional grief. She shared how some feel they are losing their profession, which they connect to a sense of self. For CEOs, it triggers an anxiety if they see a competitor raise funds quickly, and interpret that news as evidence that they are too slow, too old, or building the wrong thing.
Daniely doesn’t think the answer is rejecting the tools; rather, monitoring “how you control AI versus AI controlling you.”
But that founder who couldn’t close his laptop is the extreme version of a very ordinary 2026 problem: tools designed to make founders faster are starting to make some of them feel like they’re already behind, all while making it easier to swap human connection for an algorithmic companion.
“The AI race is a game where if you lose your first place, it’s almost impossible to catch up given how rapidly everything is developing,” he explained. If that’s true, then every voluntary slowdown is a gift to whoever doesn’t slow down. And if calls for the US to slow AI development don’t apply to China, is that who we want to win and lead this revolution?
As for a potential third place: The EU used to be a contender, but he points out that “the EU is just too over-regulated right now” to remain a key player, and its national champions can’t compete on data or scale anymore.
Rather than simply staying out of the conversation around AI regulation this week, President Trump went the other direction completely - as is so often the case.
"The United States also totally rejects any attempt to construct a globalist scheme to control for the artificial intelligence being spoken of so much now," Trump said (adding that he thinks AI should be referred to instead as ‘superintelligence’ or ‘SI’).
Which brings us to the paradox that started this whole conversation. The same tech executives publicly warning about AI risk and pitching Trump for guardrails are, in Piskunov’s words, making “a very cynical case.” They understand their own limitations more intimately than they let on, and they know that if they can’t out-innovate their competitors, their next best move is to get those competitors regulated.
Safety concern and competitive strategy, in other words, aren’t necessarily different things.
Piskunov thinks the real value lies in the psychological fight, not the race to regulate. Discussions happening this week “open up the Overton window” for the public and show that governments are taking the risk seriously, even if nothing binding follows just yet. And that may be enough for Guterres or Bengio for now.
The week will end with Trump meeting with Xi in Washington - his first visit since 2015. In an act of goodwill, US Treasury Secretary Scott Bessent announced that the two countries will extend their trade truce to January, set to originally expire in November. Perhaps they’re saving this bigger fight for later.
America’s current position isn’t just a rejection of multilateral concern about AI. It sees voluntary restraint or an international framework as a move guaranteed to lose against those unwilling to restrain themselves. And so far, no one in New York can argue otherwise.
That same instinct now shapes how CrowdStrike approaches its own market, which has hit $243.3 billion, and a stock price circling within distance of an all-time high. Exposure management, which is the practice of identifying and prioritizing an organization’s most exploitable weaknesses, was largely a background chore before AI adoption pushed it into boardrooms. “It’s no longer a question of ‘why do we need this,’” Krieger said of the shift. “It’s ‘how do we move 10 times faster? How can we be ahead of the curve?’”
This mindset gets him safely out of a cave, or back on the ground with both feet, and it’s what separates a security strategy from a scramble. But it requires work.
“You really need to build that muscle. It’s not natural. People are risk-averse, but how do you transform risk aversion into something that allows you to take risks, enjoy the journey, and do it in a way that you become successful?” His question stayed with me until long after our meeting.
The AI era is asking everyone to take risks. Company pivots, career changes, market shakeups… all of them will require us to make decisions or take actions that will impact our personal and professional lives. “It boils down to basic human nature and being a good person. People want to do good; people want to be successful. It doesn’t matter if it’s in a small company or a big company,” he concluded. “I think [it’s about] not losing the edge that you have with a startup, and taking that into a larger organization, and bringing that impact.”
[Watch a preview: Why this CrowdStrike manager skydives, cave dives, and calls it “Structured Risk”]
Threats don’t disagree insofar as they disaggregate, accelerate, and, in some new cases, remove the human from the equation entirely.
Nitay Milner, co-founder and CEO of Orion Security, offered a framework for understanding how the landscape has changed. In a recent episode with Emily Fontaine, Vice President and Global Head of Venture Capital at IBM, which backed ORION’s $32 million Series A in February 2026, he described the three categories of traditional data leakage that the DLP industry was built to address: human error, malicious insider activity, and external attackers.
“[Perhaps] I accidentally did ‘Emily@IBC’ and not ‘IBM’,” he said, by way of illustration, “and sent the entire board deck to the wrong person. That happens a lot. I call it keeping honest people honest.”
The second category, he noted, involves deliberate exfiltration, what he called the “Snowden” scenario. The third involved external actors penetrating an organization and quietly siphoning data over time.
Milner co-founded Orion Security in 2024 with CTO Jonathan Kreiner. It aims to replace traditional DLP (data loss prevention) tools with an automated, context-driven platform. Using LLMs and specialized AI agents, the platform continuously detects and analyzes data loss indicators in real time, capturing context for content sensitivity, data lineage, user identity, behavioral intent, and environmental purpose.
New anatomies, new leaks
Traditional categories of DLP remain relevant, of course. But Milner identified two new vectors that are reshaping the problem. The first is data extraction into third-party AI: employees uploading sensitive documents like earnings calls, customer records, or source code to unmanaged AI platforms before those materials are cleared for external use. “Taking the earnings call, which is super sensitive data, before the earnings call report was published, and uploading it to like an unmanaged ChatGPT or Claude,” he said. “It’s very, very sensitive, and data is now in the hands of a third party that you don’t have any agreement with.”
The second vector is data exfiltration not by humans at all, but by AI agents operating inside the enterprise. “AI agents doing human work inside the organization, having access to super sensitive data,” Milner explained. “Think about an AI agent email assistant that has access to your Google Drive, takes the entire customer list and sends it to the wrong person. That’s data exfiltration by AI.”
The scale of this emerging risk is becoming measurable. According to a 2026 Cloud Security Alliance report, 82% of organizations already have AI agents operating in production environments, while only 17% enforce runtime access controls consistently across those deployments.
A separate finding from Proofpoint’s 2025 Data Security Landscape report found that 32% of organizations identify unsupervised data access by AI agents as a critical threat.
Fontaine framed the underlying problem as one of movement, not just volume. “Data is a huge asset that must be protected, more so than ever before,” she added. “It’s moving across clouds, it’s moving across applications, agents, ecosystems. It’s moving across so much more than it was ever before. And we have to make sure it’s secure, that it is governed correctly.”
IBM Ventures, the strategic investment arm of IBM led by Fontaine, operates a $500 million fund focused on AI and quantum technologies — and its bet on Milner and the team reflects IBM’s belief that the arrival of large language models has fundamentally broken the assumptions on which traditional data security was built, creating entirely new leakage paths that legacy DLP tools cannot detect.
A new era for DLP
That governance challenge is exactly what today’s DLP industry is no longer built to handle. Policy-based systems depend on known patterns, like a credit card number matching a regex or a file name triggering a rule. They cannot, by design, interpret context or whether a particular data movement constitutes a legitimate business action or an exfiltration event.
Milner’s breakdown offers enterprises a useful starting point to identify which of the five categories (legacy or AI-era) represents the highest unaddressed exposure in a given environment, and build from there. “Understand your organization,” he concluded. “Based on this real data, get to decisions, train your employees, and help them understand how to use data safely.”
[5-minute preview: Is your AI leaking company secrets? IBM & Orion Security explain]
“The same quants who do anomaly detection in cyber can optimize the budget, channel and yield of consumer growth,” Charnoff said. He traces the lineage directly to Israel’s earlier tech waves. “Adtech is one of the founding mothers and fathers of B2C,” he said, pointing to the exodus of former ironSource employees now building consumer companies of their own.
The craving to steer away from online apps and toward “In Real Life” extends into dating apps, both in his portfolio’s orbit and out of it. Companies are moving away from “unlimited swipes whose goal is to maximize dwell time” toward an AI concierge model that delivers one or two curated introductions a week, rather than an endless feed of profiles.
According to Charnoff, 38% of Sticker Ventures’ deployed capital sits in the Health & Wellness category - framing the appeal generationally: millennials were “an experiment of unlimited internet access”, he told me, while Gen Z is driving “a huge trend to get back into IRL... experiences.”
Charnoff and Sticker Ventures aren’t betting that the attention-economy giants disappear. But the “hipster move” into B2C investments is placing new bets on the next generation of consumer winners built for the time people spend away from their news feeds, not the time they spend scrolling through it.
“B2C’s been a big part of Israel’s ecosystem for a long time,” he concluded, listing success stories like Waze, Oddity, Superplay, eToro, Wix, Simply, MyHeritage, and others. “We’ve always been doing this… I just think with AI, there’s a renewed interest to do it… It’s just way more attractive to be a B2C entrepreneur now.”
[Preview: Why building B2C in Israel is suddenly a "hipster move"]
But the format only works if it stays open. “All the politicians that came to my podcast didn’t ask for preparation, and there were no preconditions,” he told me, before admitting some guests want questions in advance, or want to see the cuts before publication. “This is like... kills the whole point of a podcast,” he said - and I agreed. “If you wanna really do an open conversation, this is not the format” for anyone trying to manage their message.
Startup Nation’s election role
But access is only half of the equation. What politicians choose to talk about matters too. When I pushed him on whether topics like tech and AI sovereignty will actually move votes — a theme this campaign has already flirted with, and one I have discussed on another podcast with ILTV — he identified a key thesis for election messaging. “If in America you vote for economy, in Israel you vote for security, and that’s it.”
[Watch me on ILTV: Maayan Hoffman and I explore whether Startup Nation should weigh in on Israel's first election since October 7]
Whereas the American mantra once promised that “it’s the economy, stupid”, Israel sees things a little differently. As Israelis go to the ballot box for the first national election since October 7, high-tech, cyber, and defense are all what he called “intercollided” into a single binary: are you the guy who keeps the country safe, or not?
That’s the paradox sitting underneath this whole moment. Hebrew podcasting is gaining exactly the kind of reach and intimacy that could reshape how Israelis size up a candidate — and it’s happening at the same time as candidates are working out how to use that reach without actually being tested by it.
[Watch a preview: Israel’s podcast boom could change the next election]
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Longtime residents cited broken promises tied to a chip plant and a cryptocurrency mine previously sited on the same land, and the developer told local reporters he had never encountered this level of public opposition, despite having built a similar facility elsewhere without incident. The complaints were the same three Levy names, yet the outcome was not.
Why do they need to be in our neighborhoods, anyway?
Those opposed to data centers don’t want them “in their backyard” - but that’s precisely where they need to be. Whereas training AI models can in fact be anywhere, the inference stage of AI - that’s getting the answers back to the customer who inputs prompts - needs strong latency to ensure smooth communication. And those are fast becoming critical infrastructure, which means backup generators need to be precisely alongside those initial centers. “More and more services are AI-based; they need their AI to be as close as possible to the market,” Levy explained. “So that’s the reason why inference in this case is localized next to communities.”
Think of it like being closer to your internet router at home: a reasonable comparison, until you realize that McKinsey forecast confirmed that by 2030 there will be an additional 140 gigawatts of power consumption by data centers. It means that the equivalent of 140 nuclear power plants will need to be set up in four years in order to manage the computing power. “You understand why there is a bottleneck,” he added.
Another question arises: whose job is it to close this trust deficit? Levy describes a cooperative, three-layer division of labor: new technology needs to be “socialized” to the market, regulators need to update rules that still legally define backup power as diesel-only, and developers need to carry the message to communities and win consent.
Phinergy was selected from a field of more than 70 proposals by the Net Zero Innovation Hub, a consortium formed by Google and Microsoft specifically to source alternatives to diesel backup power, with the pitch vetted privately by senior industry advisors (including a former chairman of Vertiv's technology board and a former Microsoft data center technology executive) before hyperscalers would take it seriously. "It's rarely cold calls," Levy said of how deep tech actually reaches Google and Microsoft. "Without that, it's very, very difficult for people to take you seriously."
Phinergy’s pitch for cleaner data centers is the start of the battle. Removing diesel noise and emissions from their footprint retires one legitimate grievance from a list that has grown to include broken trust, property values, and a broader unease about ceding land and resources to AI infrastructure. International polling on the same backlash lists the objections in similar order: water, energy, land use, noise, air pollution.
But it still needs to overcome the lingering challenge of a lack of community consent. Clean power may be necessary to end the data center fight. On the evidence so far, it isn’t sufficient.
You can learn more about data centers and how Phinergy can fix the bottleneck in the entire episode.
[For now, here is a preview: The NIMBY problem with AI data centers, explained]
“All the analytical part, to look at the technology, to look at the markets, to look at the products, all the checklist that every VC is doing… that can be significantly augmented with AI,” Kleinstein said. “But to assess the quality, the leadership, the ability of a founder, many times a first-time founder, never done it before, to actually build a team, that’s something where AI just cannot help you.”
Spitzer adds another dimension to this argument. Describing his CISO position as “part of my soul, not just my experience,” he stated that the people who get the most out of Elliot will not necessarily be the most technical members of the team. They will be the ones who know what to ask, and how. “You still need the experience of the person,” he said. “Because now you need to know what to ask the AI, how to ask it, how to navigate in the path of AI. And that skill is important with AI and before AI, but now it’s making it even more critical.”
That idea of “tribal knowledge” inside an organization or team to carry the qualities needed to thrive in the AI era was discussed in a previous episode of The Spiro Circle. AI may have access to an organization's information, but it doesn't automatically understand which pieces of that information matter, or spot what an experienced human employee would notice that isn't written down.
This reframes the debate about AI and employment and the fear that it will “take our jobs”. Currently, it appears that there will be a big shift in which part of a job it takes, with a recent IIA/Zvriran study on Startup Nation suggesting that while AI isn’t the primary reason companies are reducing their headcounts, the technology is cited by 10% of companies as the cause of hiring pauses - a threefold increase from six months ago.
In Glilot’s case, Elliot absorbs the data-gathering, the scheduling, the pattern-matching across thousands of founder meetings. What it leaves behind is soft skills, such as the ability to sit across a table from someone who has never built a company before, and decide whether to bet on them.
“The emotional part, the charisma, that’s especially important if you’re a very early-stage investor,” Kleinstein concluded. “That’s much more important than any data I can crunch.”
[Watch a 5-minute preview: AI can do the diligence. But can it pick the founder?]
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