Stay current on new cloud trends. Top software companies, respected industry analysts, and experienced consultants join Amazon Web Services leaders to talk about the cloud topics that matter to you—including the latest in AI, migration, Software-as-a-Service, and more. We produce new episodes regularly.
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Ep143: Beyond Passwords: CyberArk's Vision for Human, Machine, and AI Identity Security
Episode 143
Wednesday, September 10, 2025 • Duration 21:32
CyberArk's technology leader discusses their strategy for securing against AI threats, protecting agentic AI systems, and their vision for the future in an increasingly AI-driven cybersecurity landscape.
Topics Include:
CyberArk celebrates recent exciting news while discussing their incredible cybersecurity journey
Founded in 1999, CyberArk pioneered privilege access management and expanded into comprehensive identity security
Company executed textbook SaaS transformation from perpetual licensing to subscription-based cloud model
Leadership set clear customer expectations, framing SaaS shift as faster innovation delivery
Addressed customer concerns about cost predictability, security compliance, and data residency requirements
Technical team implemented lift-and-shift architecture with AWS RDS and multi-tenant improvements
Corporate initiative tracked weekly metrics and milestones throughout full development lifecycle process
Customer Success evolved from transactional support to strategic partnership embedded in security journeys
AWS partnership fundamental to cloud journey with 25+ integrations and Marketplace collaboration
AI strategy focuses on three pillars: using AI, securing against AI threats
Future 12-24 months: continue securing all identities while expanding AI capabilities and solutions
AWS partnership expanding in 2025 leveraging machine identity leadership and GenAI advances
See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
Ep142: Transforming ISV Businesses Through Modern Data Platforms with Coveo, DTEX Systems and Honeycomb
Episode 142
Monday, September 8, 2025 • Duration 44:12
Three leading ISV executives from Coveo, DTEX Systems and Honeycomb, reveal how companies with proprietary datasets are gaining unbeatable competitive advantages in the AI era and share real-world strategies how you have similar outcomes.
Topics Include:
Panel introduces three ISV leaders discussing data platform transformation for AI
DTEX focuses on insider threats, Coveo on enterprise search, Honeycomb on observability
Companies with proprietary datasets gain strongest competitive advantage in AI transformation
Data gravity concept: LLMs learning from unique datasets create defensible business positions
Coveo maintains unified enterprise index with real-time content and access rights sync
Honeycomb enables subsecond queries for analyzing logs, traces, and metrics at scale
Multi-tenant architectures balance shared infrastructure benefits with single-tenant data separation
Coveo deployed 140,000 times last year using mostly multi-tenant, some single-tenant components
DTEX scaled from thousands to hundreds of thousands endpoints after architectural transformation
Capital One partnership taught DTEX how to break monolithic architecture into services
Apache Iceberg and open table formats enable interoperability without data duplication
Honeycomb built custom format following similar patterns with hot/cold storage tiers
Business data catalogs become critical for AI agents understanding dataset context
MCP servers allow AI systems to leverage structured cybersecurity datasets effectively
DTEX used Cursor with their data to identify North Korean threat actors
Ep141: Securing Identities in the Age of AI Agents with Bhwana Singh, CTO of Okta
Episode 141
Friday, September 5, 2025 • Duration 27:47
Okta's CTO Bhawna Singh discusses AI adoption, innovation and the four critical identity patterns needed to build the trust that accelerates AI implementation.
Topics Include:
AI innovation races ahead while adoption lags due to trust and security concerns
Research shows 82% plan AI deployment but 61% of customers demand trust first
AI coding tools dramatically reduce development time, accelerating software delivery cycles
AI interaction evolved from ChatGPT conversations to autonomous headless agents working independently
Future envisions millions of agents making decisions and communicating without human oversight
Complex data relationships emerge as agents access multiple dynamic sources simultaneously
Trust fundamentally starts with identity - the foundation for all AI security
Four critical identity patterns needed: authentication, API security, user confirmation, and authorization
Authentication ensures legitimate agents while token vaults enable secure agent-to-agent communication
Asynchronous user approval prevents rogue decisions like the recent database deletion incident
Industry standards like MCP protocol establish minimum security guardrails for interoperability
Trust accelerates AI adoption through security, accountability, and collaborative standard-building efforts
See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
Ep140: Architecting Agentic AI Systems - Technical Insights for ISVs with Anyscale, CrewAI and Encrypt AI
Episode 140
Wednesday, September 3, 2025 • Duration 44:28
A panel discussion with AI industry leaders revealing how enterprises are scaling AI today, with predictions on coming breakthroughs for AI and the impact on Fortune 500 companies and beyond.
Topics Include:
Three technical leaders discuss production challenges: security, interoperability, and scaling agentic systems
MCP shows higher API reliability than OpenAI tool calling for implementations
Multimodal systems more vulnerable to attacks but value proposition too high ignore
Fortune 500 company automated price operations approval process using 630 brands data
87% of enterprise customers deploy agents in private VPCs or on-premises infrastructure
Specialized AI systems needed to oversee other agents at machine speed scales
Cost optimization through model specialization rather than always using most powerful models
Ep139: Human-in-the-Loop by Design: Building AI Systems Responsibly
Episode 139
Monday, September 1, 2025 • Duration 39:40
AI executives from Archer, Demandbase and Highspot and AWS reveal how they're tackling AI's biggest challenges—from securing data, managing regulatory changes and keeping humans in the loop.
Topics Include:
Three AI leaders introduce their companies: Archer, Demandbase and Highspot's approaches to enterprise AI
Demandbase's data strategy: Customer data stays isolated, shared data requires consent, public sources fuel training
Geographic complexity: AI compliance varies dramatically between Germany, US, Canada, and California regulations
HighSpot tackles sales bias: Granular questions replace generic assessments for more accurate rep evaluations
SBI framework applied to AI: Specific behavioral observations create better, more actionable sales coaching
AI transparency through citations: Timestamped evidence lets managers verify AI feedback and catch hallucinations
Archer handles 20-30K monthly regulations: AI helps enterprises manage overwhelming compliance requirements at scale
Two compliance types explained: Operational (common across companies) versus business-specific regulatory requirements
EU AI Act adoption: US companies embracing European framework for responsible AI governance
Human oversight becomes mandatory: Expert-in-the-loop reviews ensure AI decisions remain correctable and auditable
The bigger AI risk: Companies face greater danger from AI inaction than AI adoption
Agentic AI security challenges: Data layers must enforce permissions before AI access, not after
AI agents need identity management: Same access controls apply whether human clicks or AI acts
Ep138: The Future of Agentic AI – Challenges and Opportunities with Rob McGrorty
Episode 138
Friday, August 29, 2025 • Duration 31:22
In a fascinating discussion, Rob McGrorty, Product Leader of Agents at Amazon AGI Lab, reveals how rapidly AI agents are evolving with corporate adoption exploding as companies race to deploy production agents and the challenges and advantages they’re experiencing.
Topics Include:
GenAI adoption outpaces all previous tech waves, growing faster than computers or internet
Early adopters tackle complex tasks while newcomers still use basic text manipulation features
AI models double their single-call task capabilities every seven months, exponentially increasing power
Accelerating progress makes yesterday's magic mundane, unlocking mass creativity and customer demand
Corporate adoption exploded: 33% piloting agents in 2024, 67% moving to production now
Two main agent types today: API calling with tool use, browser automation
Current applications mirror "RPA 2.0" - form filling, data extraction, website QA testing
Future brings multi-agent systems, self-directing loops, and agent-to-agent negotiation scenarios
Major challenges: data privacy, oversight protocols, error responsibility, and ecosystem sustainability
Technical hurdles include real-time accuracy measurement, latency issues, and quality assurance frameworks
Participants:
Rob McGrorty – Product Leader, Agents at Amazon AGI Lab
See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
Ep137: AI Without Borders - Extending analyst capabilities across the modern SOC
Episode 137
Wednesday, August 27, 2025 • Duration 31:09
Gagan Singh of Elastic discuses how agentic AI systems reduce analyst burnout by automatically triaging security alerts, resulting in measurable ROI for organizations
Topics Include:
AI breaks security silos between teams, data, and tools in SOCs
Attackers gain system access; SOC teams have only 40 minutes to detect/contain
Alert overload causes analyst burnout; thousands of low-value alerts overwhelm teams daily
AI inevitable for SOCs to process data, separate false positives from real threats
Agentic systems understand environment, reason through problems, take action without hand-holding
Attack discovery capability reduces hundreds of alerts to 3-4 prioritized threat discoveries
AI provides ROI metrics: processed alerts, filtered noise, hours saved for organizations
RAG (Retrieval Augmented Generation) prevents hallucination by adding enterprise context to LLMs
Ep136: Rapid7's Journey to an AI First Platform with AWS
Episode 136
Monday, August 25, 2025 • Duration 25:26
Pete Rubio reveals how Rapid7 transformed to an AI-first platform that automates security investigations and accelerates results from hours to seconds.
Topics Include:
Pete Rubio introduces Rapid7's journey to becoming an AI-first cybersecurity platform
Cybersecurity teams overwhelmed by growing attack surfaces and constant alert fatigue
Customers needed faster response times, not just more alerts coming faster
Legacy tools created silos requiring manual triage that doesn't scale effectively
AI must turn raw security data into real-time decisions humans can trust
Unified data platform correlates infrastructure, applications, identity, and business context together
Agentic AI automates investigative work, reducing analyst tasks from hours to seconds
Rapid7 evaluated multiple vendors, choosing AWS for performance, cost, and flexibility
Nova models delivered unmatched performance for global scaling at controlled costs
Bedrock provided secure model deployment with governance and data privacy boundaries
Transparent AI shows customers how models reach conclusions before automated actions
SOC analyst expertise continuously trains models with real-time security intelligence
Governance frameworks and guardrails implemented from day one, not retrofitted later
Future plans include customer AI integration and bring-your-own-model capabilities
Participants:
Pete Rubio – Senior Vice President, Platform & Engineering, Rapid7
Ep135: Petabytes and Milliseconds: How Panther scales Security Monitoring with Cloud-Native AI
Episode 135
Friday, August 22, 2025 • Duration 10:49
Panther CEO William Lowe explains how integrating Amazon Bedrock AI into their security platform delivered 50% faster alert resolution for enterprise customers while maintaining the trust and control that security practitioners demand.
Topics Include:
Panther CEO explains how Amazon partnership accelerates security outcomes for customers
Cloud-native security platform delivers 100% visibility across enterprise environments at scale
Customers like Dropbox and Coinbase successfully replaced Splunk with Panther's solution
Platform processes petabytes monthly with impressive 2.3-minute average threat detection time
Critical gap identified: alert resolution still takes 8 hours despite fast detection
Security teams overwhelmed by growing attack surfaces and severe talent burnout
Constant context switching across tools creates inefficiency and organizational collaboration problems
AI integration with Amazon Bedrock designed to accelerate security team decision-making
Four trust principles: verifiable actions, secure design, human control, customer data ownership
Results show 50% faster alert triage; future includes Slack integration and automation
See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
Ep134: Prime Opportunities for ISVs by Leveraging Generative AI
Episode 134
Wednesday, August 20, 2025 • Duration 30:43
AWS executives reveal how generative AI is fundamentally reshaping ISV business models, from pricing strategies to go-to-market approaches, and provide actionable insights for software companies navigating this transformation.
See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
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AWS positioning as ultimate gen AI toolkit partner with ISV collaboration opportunities
Participants:
Alayna Broaderson - Sr Manager, Infrastructure Technology Partnership, Amazon Web Services
Andy Perkins - General Manager, US ISV, Amazon Web Services
See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/
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