Security leaders from Anthropic and AWS discuss how agentic AI is transforming cybersecurity functions to autonomously handle everything from code reviews to SOC operations.

Topics Include:

• Agentic AI differs from traditional AI through autonomy and agency
• Traditional AI handles single workflow nodes, agents collapse multiple steps
• Higher model intelligence enables understanding of broader business contexts
• Agents make intelligent decisions across complex multi-step workflows processes
• Enterprise security operations are seeing workflow consolidation through GenAI
• Organizations embedding GenAI directly into customer-facing production applications
• Software-as-a-service transitioning to service-as-software through AI agents
• Securing AI requires guardrails to prevent hallucinations in applications
• New vulnerabilities appear at interaction points between system components
• Attackers target RAG systems and identity/authorization layers instead
• LLMs hallucinate non-existent packages, attackers create malicious honeypots
• Governance frameworks must be machine-readable for autonomous agent reasoning
• Amazon investing in automated reasoning to prove software correctness
• Anthropic uses Claude to write over 50% of code
• Automated code review systems integrated into CI/CD pipelines
• Security design reviews use MITRE ATT&CK framework automation
• Low-risk assessments enable developers to self-approve security reviews
• 40% reduction in application security team review workload
• Anthropic eliminated SOC, replaced entirely with Claude-based automation
• IT support roles transitioning to engineering as automation replaces frontline
• Compliance questionnaires fully automated using agentic AI workflows
• ISO 42001 framework manages AI deployment risks alongside security
• Executive risk councils evaluate AI risks using traditional enterprise processes
• AWS embeds GenAI into testing, detection, and user experience
• Finding summarization helps L1 analysts understand complex AWS environments
• Amazon encourages teams to "live in the future" with AI
• Interview candidates expected to demonstrate Claude usage during interviews
• Security remains biggest barrier to enterprise AI adoption beyond POCs
• Virtual employees predicted to arrive within next 12 months
• Model Context Protocol (MCP) creates new supply chain security risks

Participants:

• Jason Clinton – Chief Information Security Officer, Anthropic
• Gee Rittenhouse – Vice President, Security Services, AWS
• Hart Rossman – Vice President, Global Services Security, AWS
• Brian Shadpour – GM of Security and B2B Software Sales, AWS

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