AWS for Software Companies Podcast

Latest Episodes:

Ep117: Breaking Down Silos: Trellix's AI-Driven Security Operations Jul 10, 2025

Show notes

Zak Krider, Trellix's Director of Strategy and AI, shares how Trellix has successfully integrated generative AI into their security operations and democratized access to AI models across the organization.

Topics Include:

Trellix formed from McAfee Enterprise and FireEye merger
Provides full security stack visibility in single platform
Serves SMBs to Fortune 500 and government customers
Used machine learning for two decades with 30 models
Recently pivoted to generative AI with Wwise platform
AI finds critical events among thousands daily alerts
Incorporates threat hunting knowledge into AI prompt structures
AWS Bedrock central to AI strategy for model flexibility
Formed small tiger team to investigate generative AI
Anthropic Claude provided breakthrough "aha moments" for capabilities
Adopted "fail fast, learn fast" innovation culture approach
Enabled employee access to models through Bedrock API
Conducted innovation jam sessions with VC-style pitches
AI decoded Base64 without prompting, identified benign activity
Junior analysts elevated to level two with AI
Common misconception: models train on customer data falsely
Early challenge: providing too much data overwhelmed models
Smaller models hallucinated more with plausible-sounding responses
Design partner programs help prioritize product development
Democratize AI access beyond just technical teams
Test multiple models for specific use cases
Large models work better than small ones initially
Prompt engineering crucial for effective model communication
Model Context Protocol will gain traction next year
Backend data security remains largely unsolved challenge
Federal customers require on-premises, air-gapped AI solutions

Participants:

Zak Krider – Director of AI and Innovation, Trellix

Further Links:

Website: https://www.trellix.com
Trellix on 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/

Ep116: Building the AI Economy - Inside NVIDIA's 25,000-Strong Startup Ecosystem Jul 09, 2025

Show notes

NVIDIA’s Global Head of Partnerships & Cloud for Startups, Jen Hoskins, details their collaboration with AWS to support over 25,000 startups through their Inception program.

Topics Include:

AI transformation happening across all industries and verticals
NVIDIA evolved from GPU company to full-stack AI solutions
Accelerated computing requires complete stack re-engineering from chip up
Traditional CPU scaling has reached its fundamental performance limits
NVIDIA-AWS partnership spans over 13 years of co-development
DGX Cloud integrates seamlessly with AWS SageMaker and Bedrock
Over 26 NVIDIA solutions available in AWS Marketplace
NVIDIA AI Enterprise accelerates data science and deployment pipelines
NIM microservices streamline AI model development like Docker containers
Codeway gaming startup saved 48% on compute costs using NVIDIA
Eternal improved marketing ROI by 30X with generative AI
Quoto achieved 10X content length and 3X throughput improvement
NOATech biotech scaled cancer research with small team efficiently
NVIDIA Inception program supports over 25,000 startups globally
Program covers 100+ countries across all verticals and stages
Startups get AWS credits up to $100,000 through Activate
Developer program offers free access to hundreds of SDKs
Three program pillars: Innovate, Build, and Grow stages
VC Alliance connects startups with over 1,000 investors
Venture Capital Connect directly links startups to funding opportunities

Participants:

Jen Hoskins – Startups, Global Head of Cloud, Partnerships & Go to Market, NVIDIA

Further Links:

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

Ep115: Put AI to Work Supercharging Enterprise Intelligence with Glean + AWS Jul 07, 2025

Show notes

Matt “Kix” Kixmoeller, Chief Marketing Officer of Glean, shares how Glean partners with AWS to deploy secure, scalable AI solutions that help companies move from basic productivity tools to transformative business intelligence.

Topics Include:

Introduction to Glean
Glean targets Global 2000 companies for AI transformation
Enterprise AI needs company context: data, people, processes
Bottom-up approach: deploy to all employees first
Focus on business results, not just productivity gains
Glean Assistant provides daily AI tool for employees
Glean Agents platform enables natural language agent building
Open APIs export context to enterprise systems
Started as enterprise search, evolved to knowledge graphs
Knowledge graphs map content, people, projects, and processes
Individual knowledge graphs created for each person
Glean WorkAI platform includes search, protect, agents
Glean Protect ensures data security and AI governance
Platform integrates with existing enterprise tools natively
MCP enables connection to various AI systems
Strong growth: $100M ARR, $700M+ funding raised
AWS partnership provides models, security, and deployment

Participants:

Matt “Kix” Kixmoeller – Chief Marketing Officer, Glean

Further Links:

Website: https://www.glean.com/
Glean on 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/

Ep114: From Chaos to Clarity - AI-Powered Security and Observability Investigation with Sumo Logic Mo Copilot on AWS Jul 02, 2025

Show notes

Kui Jia, Sumo Logic's Vice President of Engineering and Head of AI, shares how their AWS-powered AI agents transform chaotic security investigations into streamlined workflows.

Topics Include:

Kui Jia leads AI Engineering at Sumo Logic
SREs and SOC analysts work under chaotic, high-pressure conditions
Teams constantly switch between different vendor tools and platforms
Investigation requires quick hypothesis formation and complex query writing
Sumo Logic processes petabytes of data daily across enterprises
Company serves 2,000+ enterprise customers for 15 years
Platform focuses on observability and cybersecurity use cases
Investigation journey: discover, diagnose, decide, act, learn phases
Data flows from ingestion through analytics to human insights
Traditional workflow relies heavily on tribal domain knowledge
Senior engineers create queries that juniors struggle to understand
War room situations demand immediate answers, not learning curves
Context switching between tools wastes time and creates friction
Multiple AI generations deployed: ML anomaly detection to GenAI
Agentic AI enables reasoning, planning, tools, and evaluation capabilities
Mo Copilot launched at AWS re:Invent as AI agent suite
Natural language converts high-level questions into Sumo queries
System provides intelligent autocomplete and multi-turn conversations
Insight agents summarize logs and security signals automatically
Knowledge integration combines foundation models with proprietary metadata
AI generates playbooks and remediation scripts for automated actions
Three-tier architecture: Infrastructure, AI Tooling, and Application layers
Built on AWS Bedrock with Nova models for performance
Focus on reusable infrastructure and AI tooling components
Data differentiation more important than AI model selection
Golden datasets and contextualized metadata are development challenges
Guardrails and evaluation frameworks critical for enterprise deployment
AI observability enables debugging and performance monitoring
Enterprise agents achievable within one year development timeline
Future vision: multiple AI agents collaborating with human investigators

Participants:

Kui Jia – Vice President of AI Engineering, Head of AI, Sumo Logic

Further Links:

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

Ep113: AI Frameworks to Stay Ahead: Intelligent Cyber Threat Response with Trellix Jun 30, 2025

Show notes

Wilson Patton, Solutions Architect for Trellix, demonstrates how their four-pillar Gen-AI framework transforms incident alerts into actionable intelligence.

Topics Include:

Wilson Patton: Trellix Solutions Architect, 20 years government experience
Witnessed evolution from basic firewalls to zero trust architectures
Trellix combines McAfee and FireEye heritage and capabilities
AI integration isn't new - machine learning embedded for years
Partnership with AWS Bedrock accelerates Gen-AI development capabilities
2014: Developed Impossible Travel Analytic for anomaly detection
2016: Launched Guided Investigations framework for SOC analysts
2023: Introduced AI Guided Investigations with contextual understanding
64% of public sector exploring AI adoption actively
Only 21% have requisite data ready for training
Gen-AI won't magically clean up messy, siloed data
74% of executives doubt AI information accuracy currently
Monday morning alert queue: 76 high, 318 medium alerts
Adversaries steal credentials 90 days before major incidents
Critical breadcrumbs hidden in low-priority informational alerts
1000+ data-driven investigative questions developed over eight years
Skilled analysts take too long reading all answers
Automate analysis, distill thousands down to ten critical alerts
Four foundational pillars for effective, trustworthy Gen-AI implementation
Cybersecurity expertise essential - Gen-AI is just a tool
Frameworks ensure reliability and consistent prompting for production
Multiple LLM models tested through AWS Bedrock platform
Quality diverse datasets required for accurate question answering
Good prompts combine evidence, context, and comprehensive information
Testing shows order of magnitude price differences between models
Nova Micro provides cost-effective results for many scenarios
Prompt engineering superior to fine-tuning for avoiding bias
Agentic AI performs multi-step investigations with live data
Strategic model choice based on specific requirements and costs
Transparent audit trails mandatory for government compliance requirements

Participants:

Wilson Patton – Solutions Architect, Trellix

Further Links:

Website: https://www.trellix.com
Trellix in the 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/

Ep112: Transforming Product Development with AI - Miro and The Art of the Possible Jun 27, 2025

Show notes

Jeff Chow, Chief Product and Technology Officer at Miro, explores how harnessing AI — in addition to reshaping teams and workflows — accelerates the product development lifecycle. He also shares insight into how Miro is embracing new technology and ways of working to transform its Innovation Workspace.

Topics Include:

Platform & Partnership

Miro serves 250,000+ customers with 90+ million knowledge workers using their Innovation Workspace
Platform supports discovery, definition, and delivery phases of innovation process
Real-time multiplayer canvas enables team co-creation across multiple formats, including seamless transitions between structured and unstructured work.
Three-tier AWS partnership: infrastructure backbone, AI services (Bedrock/Q), and joint customer solutions

Innovation Challenges & Friction

Product development lifecycle bottlenecks: separate tools per function create process delays and collaborative friction
Pain points include stalled product kickoffs, lengthy design ideation cycles, and process delays from engineering architecture discussions.
Leadership struggles with project visibility and strategic alignment across initiatives

AI Transformation

AI fundamentally shifts workflows with universal knowledge access at fingertips
Craft democratization blurs traditional role boundaries (PMs prototyping, developers designing)
Agentic workflows and agents collapse traditional development stack layers
AI shortcuts enable one-button synthesis of workshops into product briefs
Product development lifecycle compression from 20 steps to 5 key phases
Bedrock and Q services create significant business acceleration

Organizational Design

Common organizational rhythms and rituals create shared working language
Driving maximum impact by aligning on big initiatives vs. distributed priorities
Collaborating across all functions — product, engineering, design — and at all organizational levels
Bottom-up innovation requiring clear problem communication throughout organization
Inclusive environments welcoming ideas from junior and introverted team members
Working backwards planning and PR FAQs adopted from Amazon methodologies

Creating the next big thing with Miro

Large enterprises use Miro for strategic planning, OKR planning, capacity planning, roadmapping
Visual proof-of-concepts and live demos make abstract concepts tangible
Same-day product brief delivery improves team collaboration and ownership
Voice of customer integration: automated synthesis of feedback into feature development
Miro uses Miro internally to build next-generation features
Enhanced employee engagement alongside improved business outcomes
Customers consistently achieve 2-3x time-to-market improvements

Participants:

Jeff Chow – Chief Product and Technology Officer, Miro
Johan Broman – EMEA ISV Head of Solutions Architecture, AWS

Further Links:

Website: https://miro.com/page/product-leaders/
Miro in the 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/

Ep111: The Architecture of Growth: Sonar's Evolution to Multi-Region SaaS Jun 25, 2025

Show notes

Andrea Malagodi, CTO of Sonar, discusses how the company successfully transitioned from on-premise to SaaS, leveraging AWS partnership and maintaining focus on developer-centric code quality and security solutions.

Topics Include:

Andrea Malagodi is CTO of Sonar, guest on podcast
Sonar founded 16+ years ago by three software engineers
Founders wanted to help developers understand code quality issues
Focus on giving developers precise, actionable insights for improvement
Products include SonarQube Server, Cloud, and IDE versions
Recent acquisitions: ACR, Tidelift, and Structure 101 companies
SaaS journey began seven years ago with SonarQube Cloud
Initially targeted individual developers, then expanded to enterprises
Now multi-region with comprehensive enterprise features available
Seven million developers rely on Sonar's solutions globally
400,000 organizations and 28,000 enterprise customers use Sonar
Started SaaS to test market demand, not assumptions
Engaged customers early to understand migration requirements needed
Recommends alpha versions with design customers for feedback
Free tier for open-source code enables quick trial
Enterprise certifications (ISO 27001, SOC 2) build trust
AWS partnership includes enterprise support and technical resources
Used CDK for infrastructure-as-code, experienced early adoption challenges
Multi-region strategy should be considered from the beginning
AWS Learning partnership certified all engineers in cloud
Cloud enables faster development cycles than traditional infrastructure
Recommends avoiding architectural one-way doors during transition
Consider data residency requirements for global customer base
AI-generated code creates productivity gains but needs validation
Sonar provides deterministic rules for AI-generated code review
Working on MCP protocol and AI code quality solutions
Security approach is "start left" not "shift left"
Advanced Security offering includes dependency scanning and vulnerabilities
Available on sonarsource.com and AWS Marketplace
Free tier offers 50,000 lines of code analysis

Participants:

Andrea Malagodi – Chief Technical Officer, Sonar

Further Links:

Website: www.sonarsource.com
Sonar in the 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/

Ep110: Redefining Network Detection & Response with Generative AI – The Partnership of ExtraHop Networks and AWS Jun 23, 2025

Show notes

Kanaiya Vasani, Chief Product Officer, explains how ExtraHop leverages AWS services and generative AI to help enterprise customers address the growing security challenges of uncontrolled AI adoption.

Topics Include:

ExtraHop reinventing network detection and response category
Platform addresses security, performance, compliance, forensic use cases
Behavioral analysis identifies potential security threats in infrastructure
Network observability and attack surface discovery capabilities included
Application and network performance assurance built-in features
Traditional IDS capability with rules and IOCs detection
Packet forensics for investigating threats and wire evidence
Cloud-native implementations and compromised credential investigation support
ExtraHop partnership with AWS spans 35-40 different services
AWS handles infrastructure while ExtraHop focuses core competencies
ExtraHop early adopter of generative AI in NDR
Natural language interface enables rapid data access queries
English questions replace complex query languages for users
Agentic AI experiments focus on SOC automation workflows
L1 and L2 analyst workflow automation improves productivity
Shadow AI creates major risk concern for customers
Uncontrolled chatbot usage risks accidental data leakage
Governance structures needed around enterprise gen AI usage
Visibility required into LLM usage across infrastructure endpoints
AI innovation pace challenges security industry keeping up
Models evolved from billion to trillion parameters rapidly
Traditional security tools focus policies, miss real-time activity
"Wire doesn't lie" - network traffic reveals actual behavior
ExtraHop maps baseline behavior patterns across infrastructure endpoints
Anomalous behavioral patterns flagged through network traffic analysis
MCP servers enable LLM access through standardized protocols
Stolen tokens allow adversaries unauthorized MCP server access
Machine learning identifies anomalous traffic patterns L2-L7 protocols
Gen AI automates incident triage, investigation, response workflows
Best practices include clear policies, governance, monitoring, education

Participants:

Kanaiya Vasani – Chief Product Officer, ExtraHop Networks

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

Ep109: Sustaining Data Quality and Quantity: How Cribl is helping Customers Control Costs and Unlock Value Jun 18, 2025

Show notes

Cribl’s Field CISO Ed Bailey discusses how customers can manage the quality and quantity of data by providing intelligent controls between data sources and destinations.

Topics Include:

Cribl company name origin
Company helps organizations screen data to find valuable insights
Ed Bailey was Cribl's first customer back in 2018
Data growth of 25% yearly created seven-figure cost increases
CEOs and CIOs complained about explosive data storage costs
Users demanded more data while budgets remained constrained
Bailey discovered Cribl through a random Facebook advertisement
Cribl Stream sits between data sources and destinations
No new agents required, uses existing infrastructure connections
Reduced data growth from 28% to 8% within year
Development cycles shortened from six weeks to two weeks
Bailey managed global security and telemetry data systems
Operated large Splunk instance across forty different countries
Team spent time collecting data instead of extracting value
Cribl provided consistent data control plane for operations
Smart engineers could focus on machine learning solutions
Migrated from terrible SIEM to better security platform
Data strategy should focus on business requirements first
Not all data has the same business value
Tier one: Critical data goes to expensive platforms
Tier two: Important data stored in cheaper lakes
Tier three: Compliance data in low-cost object storage
SIEM costs around one dollar per gigabyte stored
Data lakes cost twelve to eighteen cents per gigabyte
Object storage costs fractions of pennies per gigabyte
AWS partnership provides scalable infrastructure for rapid growth
EC2, EKS, and S3 are heavily utilized services
Cribl Search finds data directly in object storage
Avoids costly data movement for search and analysis

Participants:

Edward Bailey – Field CISO, Cribl

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

Ep108: Getting Ahead of the Curve - How Saviynt Automates Identity Security at Scale Jun 16, 2025

Show notes

Saviynt Co-Founder Amit Saha discusses how their AWS partnership has enabled the identity security company to deliver comprehensive identity protection while minimizing organizational friction.

Topics Include: