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This checklist offers a 90-day roadmap for SOC teams to adopt AI — starting with observation and validation, moving to controlled testing, and ending with confident automation. It also outlines where each role, from Tier 1 analysts to SOC managers, should focus first.

In this session, SentinelOne Principal Evangelist Chris Hosking and Senior Manager of Solutions Engineering Carlos Payés cut through the regulatory complexity to give CISOs a clear, actionable picture of what the EU AI Act demands, where enterprises are most exposed, and how visibility and governance over AI usage is now a security imperative, not just a compliance checkbox. You will leave with: A working understanding of how the EU AI Act classifies risk and what deployer obligations actually mean for your organisation A clear view of the shadow AI problem and why you cannot comply with what you cannot see A practical baseline for AI security governance that maps to both regulatory requirements and real-world enterprise risk This is a security leader's guide to acting now, before enforcement begins.

A Conversation with SentinelOne’s Chief AI Officer Join Gregor Stewart, SentinelOne's Chief AI Officer, and Chris Hosking, Principal Evangelist, for a two-part look at what that access means. Gregor takes the frontier view: how fast these models are moving, and what that changes about the assumptions built into today's security model. Chris takes the defender's view: how SentinelOne puts that same intelligence to work protecting your environment right now. What you'll learn: What programs like Glasswing, Daybreak, Trusted Access for Cyber (TAC), and Anthropic's Cyber Verification Program (CVP) actually mean, and which ones are worth signing up for yourself Where Mythos-class and GPT-5.5-class models improve analyst output, and where operational controls still matter How SentinelOne connects that frontier-model access to security governance A look inside the hands-on work

A SentinelOne Federal whitepaper on OMB Memorandum M-26-14, which rescinds M-21-31 and shifts federal logging from volume-based retention to an outcome-driven, risk-based model built on Continuous Event Monitoring (CEM) and THIRF. It maps the mandate's five-element maturity model, deadlines, and requirements to Singularity Platform capabilities (AI SIEM, XDR, Purple AI) for FedRAMP High agencies.