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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:
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