Arctic Wolf's Dean Teffer reveals how they transformed security operations by processing one trillion daily alerts with AI, and shares hard-won lessons from operationalizing AI in production SOC environments

Topics Include:

• Arctic Wolf processes one trillion security alerts daily across 10,000 global customers
• Security operations remained stubbornly human-mediated due to constantly evolving threats and infrastructure complexity
• Dean explains why platformizing data creates a virtuous cycle enabling AI automation
• Traditional ML models couldn't handle SOC's situational complexity, leading to LLM adoption
• Arctic Wolf's unique advantage: direct access to 1000+ SOC analysts for continuous feedback
• AWS partnership began with governance concerns about data privacy and model training
• "Centaur Chess" approach: AI-human teams consistently outperform either alone in cybersecurity
• Three-generation AI evolution: from personal use to prompt engineering to expert-tuned models
• Three-day AWS hackathon achieved breakthroughs that would've taken months independently
• SOC analysts actively shaped AI responses through iterative feedback during live operations
• Observability proved critical: tracking performance, quality metrics, and response times for continuous improvement
• Measurable impact achieved: automated alert orientation dramatically increased analyst efficiency and response quality

Participants:

• Dean Teffer - VP of AI/ML, Arctic Wolf
• Aswin Vasudevan - Senior ISV Solution Architect, 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/