AWS for Software Companies Podcast

Latest Episodes:

Ep147: Securing Generative AI Investigations Against Invisible Risks & Threats w Cohesity Sep 19, 2025

Show notes

Aditya Vasudevan, Cohesity's cyber recovery expert, shares battle-tested insights from defending Fortune 100 companies against AI-powered cyberattacks.

Topics Include:

Cohesity protects 85% of Fortune 100 data with battle-tested cyber recovery experience
Top 10 cyber adversaries target organizations; Cohesity has defended against most major threats
GenAI adopted by 100 million users in two months, creating unprecedented security challenges
New AI threats include prompt injection, synthetic identities, shadow AI, and supply vulnerabilities
Attackers now use AI for sophisticated phishing, automated malware, and accelerated attack chains
Real companies completely banned AI after code leaks, misuse incidents, and data concerns
Three-pillar security approach: fight AI with AI, enhanced training, and automated workflows
Secure AI design requires private deployments, complete traceability, and role-based access controls
Amazon Bedrock offers built-in guardrails, private VPCs, and enterprise monitoring capabilities
Cohesity's Gaia demonstrates secure AI with RAG architecture and permission-aware data access
Resilience strategy combines immutable backups, anomaly detection, and recovery automation for incidents
Proper AI security reduces cyber insurance premiums and prevents costly downtime disasters

Participants:

Aditya Vasudevan - GVP of Cyber Resiliency, Cohesity

Further Links:

Cohesity: Website | LinkedIn | AWS Marketplace

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Ep146: Strategies to enhance organizational security culture with Sonatype Sep 17, 2025

Show notes

Tyler Warden, SVP of Product at Sonatype, shares surprising research on security, productivity and prioritization, with actionable strategies for organizational transformation.

Topics Include:

Tyler from Sonatype (Maven creators) shares research on security culture in development
Security is more cultural than tooling, with rising supply chain attacks
Development speeds up while global regulations rapidly change across markets
Tyler's background: wanted to be a Broadway conductor, not tech speaker
Beethoven's 9th Symphony story: nephew missed a dot, changing tempo forever
We can "be the dot" - small changes creating big organizational impact
Three organization types: Leaders (collaborative), Adapters (balanced), Protectors (security-first)
Leaders achieve best productivity and security but face executive skepticism
Research reveals balanced teams outperform purely security-focused or productivity-focused approaches
High-performance teams go faster AND stay more secure than alternatives
"Yes" philosophy from improv comedy: fun happens when we enable innovation
Apply proven supply chain principles from manufacturing to software development security

Participants:

Tyler Warden – Senior Vice President, Product, Sonatype

Further Links:

Sonatype: Website | LinkedIn | AWS Marketplace

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Ep145: Transforming the CFO's Office with Amazon Bedrock Sep 15, 2025

Show notes

Learn how Amazon Bedrock enabled Prophix to build enterprise-grade AI agents that transform secure CFO workflows, while delivering real-time financial intelligence through advanced agentic architecture.

Topics Include:

AWS and Prophix leaders discuss building autonomous AI agents for financial management
AI agents defined: autonomous systems that reason, plan, and execute tasks independently
Evolution from simple chatbots to collaborative multi-agent systems solving complex problems
Core agent components: cognitive planning module, memory systems, and external tool integrations
Prophix: 30-year financial software company serving 3,500 CFO offices globally across industries
Prophix One Intelligence: platform-level AI service powering predictions, analysis, and automation
Customer concerns addressed: data privacy, role-based security, accuracy, and cost control
Rejected "models in the sky" approach for AWS Bedrock's managed, controllable infrastructure
Agentic architecture: LLMs generate API parameters instead of processing massive datasets
Real-time data access, automatic security inheritance, and A/B testing capabilities achieved
Live demo: automated budgeting workflows, natural language queries, and autonomous task execution
AWS introduces AgentCore platform to simplify agent development for enterprise customers

Participants:

Anurag Yagnik – Chief Technology Officer, Prophix
Deborshi Choudhury – Sr Solutions Architect – ISV, Amazon Web Services

Further Links:

Prophix: Website | LinkedIn

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Ep144: 8 Trillion Observations a Week: How Arctic Wolf Uses AI to Stop Ransomware Attacks Sep 11, 2025

Show notes

Dean Teffer of Arctic Wolf reveals how they process 8 trillion weekly security observations to find "a needle in a stack of needles," and breaks down real-world GenAI lessons learned.

Topics Include:

Dean Teffer, VP of AI at Arctic Wolf, discusses company's GenAI journey
Arctic Wolf: decade-old security operations company serving mid-market customers globally
Operates massive security operation center, now launching AI-powered products
AI agent recently identified Black Basta ransomware attack, enabling rapid containment
Dean's 15+ years in cybersecurity: traditional ML focused on detection
GenAI breakthrough allows natural language interaction with security models
Arctic Wolf processes 8 trillion weekly observations, correlating suspicious activities
Challenge: finding specific threats in "stack of needles," not haystack
Success measured by making human analysts faster, more consistent, scalable
Evolved from treating GenAI like traditional ML to integrated workflows
Key misconception: GenAI isn't magic, needs proper data and reasoning
Advice: start with existing challenges, build flexible systems for adaptation
GenAI excels at summarizing information and supporting complex decisions
Future vision: AI handles routine threats, humans focus on creativity
Democratizing machine learning capabilities to broader range of subject experts

Participants:

Dean Teffer – Vice President of AI, Arctic Wolf

Further Links:

Arctic Wolf: Website | LinkedIn | AWS Marketplace

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Ep143: Beyond Passwords: CyberArk's Vision for Human, Machine, and AI Identity Security Sep 10, 2025

Show notes

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

Participants:

Peretz Regev – Chief Product & Technology Officer, CyberArk
Boaz Ziniman – Principal Developer Advocate - EMEA, Amazon Web Services

Further Links:

· CyberArk: Website – LinkedIn – AWS Marketplace

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 Sep 08, 2025

Show notes

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
Real-time AI data needs balanced with costs using right models for jobs
Caching strategies and precise context reduce expensive LLM inference calls unnecessarily
Search remains essential for enterprise AI to prevent hallucination and access information
ROI measurement focuses on cost reduction, analyst efficiency, and measurable business outcomes
Key takeaway: invest in data structure early, context is king, AI is just software

Participants:

Sebastien Paquet - Vice President of AI Strategy, Coveo
Rajan Koo - CTO, DTEX Systems
Patrick King - Head of Data, Honeycomb.io
KP Bhat - Sr Solutions Architecture Leader- Analytics & AI, Amazon Web Services

Further Links:

Coveo: Website – LinkedIn – AWS Marketplace
DTEX Systems: Website – LinkedIn – AWS Marketplace
Honeycomb.io: Website – LinkedIn – AWS Marketplace

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Ep141: Securing Identities in the Age of AI Agents with Bhwana Singh, CTO of Okta Sep 05, 2025

Show notes

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

Participants:

Bhawna Singh – CTO, Customer Identity, Okta

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 Sep 03, 2025

Show notes

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
Panelists represent Enkrypt (security), Anyscale (infrastructure), and CrewAI (agent orchestration platforms)
Industry moving from flashy demos to dependable agents with real business outcomes
Breakthrough examples include 70-page IRS form processing and multimodal workflow automation
Multimodal data integration becoming crucial - incorporating video, audio, screenshots into decisions
Less than 10% of future applications expected to be text-only
Companies shifting from experimenting with individual models to deploying agent networks
Need for governance frameworks as enterprises scale to hundreds of agents
Growing software stack complexity requires specialized infrastructure between applications and GPUs
Security teams need centralized visibility across fragmented agent deployments across enterprises
Existing industry regulations apply to AI services - no special AI laws needed
Interoperability standards debate: MCP gaining adoption while A2A seems premature solution
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
Future learning may happen through context/prompting rather than traditional weight fine-tuning
Predictions include AI meeting moderators and agents working autonomously for hours

Participants:

Robert Nishihara - Co-founder, Anyscale
João Moura - CEO, CrewAI
Sahil Agarwal - Co-Founder & CEO, Enkrypt AI
Jillian D’Arcy - Sr. ISV Sales Leader, Amazon Web Services

Further Links:

Anyscale – Website | LinkedIn | AWS Marketplace
CrewAI - Website | LinkedIn | AWS Marketplace
Enkrypt AI - Website | LinkedIn | AWS Marketplace

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Ep139: Human-in-the-Loop by Design: Building AI Systems Responsibly Sep 01, 2025

Show notes

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
Human oversight in high stakes: Chief compliance officers demand transparency and correction capabilities
Future challenge identified: 80% of enterprise data behind firewalls remains invisible to AI models

Participants:

Kayvan Alikhani - Global Head of Engineering- Emerging Solutions, Archer Integrated Risk Management
Umberto Milletti - Chief R&D Officer, Demandbase
Oliver Sharp - Co-Founder & Chief AI Officer, Highspot
Brian Shadpour - General Manager, Security, Amazon Web Services

Further Links:

Archer Integrated Risk Management: Website – LinkedIn – AWS Marketplace
Demandbase: Website – LinkedIn – AWS Marketplace
Highspot: Website – LinkedIn – AWS Marketplace

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Ep138: The Future of Agentic AI – Challenges and Opportunities with Rob McGrorty Aug 29, 2025

Show notes

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
Agents represent natural evolution: chatbots answered questions, now agents autonomously accomplish tasks
Amazon's browser agent finds apartments, maps distances, ranks options using multiple transit modes
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/

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