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/