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/

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/

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/

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/

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/

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:

• Saviynt is leading identity security provider in market
• Secures human, non-human, workforce, and privileged access identities
• Eliminates friction while automating organizational access management processes
• Biggest challenge: reducing friction in new access processes
• Second challenge: visibility into accumulated technical debt problems
• Lost business context makes access permissions difficult to unwind
• Saviynt provides quick visibility to prioritize identity risks
• Shadow IT creates ungoverned workloads and cloud applications
• Need integration with asset management and cloud providers
• Must derive intelligence from multiple disconnected information sources
• AWS partnership provides access to prolific customer base
• AWS security owners are same buyers for Saviynt
• Eleven-year AWS relationship with early security competency
• ISV Accelerate program connects with sellers and architects
• Rising Star program helps stand out in crowded marketplace
• Find mutual customers for successful AWS partnership stories
• GenAI in bad actors' hands compromises customer security
• Product engineering uses GenAI tools for better quality
• Agentic AI creates new paradigm between human/non-human identities
• Agentic AI requires dynamic, fluid access management approaches
• AI agents can generate their own bots needing access
• Zero trust principles needed at broader scale for AI
• Next twelve months: getting ahead of GenAI curve
• New AWS services launch daily in GenAI space
• Contributing to new standards like MCP and A2A protocols
• AWS Marketplace simplifies procurement and buyer discovery processes
• EDP program and migration incentives benefit ISV transactions
• AWS developer-friendly startup programs accelerate time to market
• Cloud-native approach enables predictable scaling and AWS integration
• AWS-Saviynt partnership aims for once-in-generation security impact

Participants:

• Amit Saha – Co-Founder and Chief Growth Officer, Saviynt

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