Articles
Articles
524 articles
Agentic AI can change what systems “do” during an incident. This guide translates CI Fortify’s isolation and recovery premise into implementable controls for agent workflows.
Agentic AI shifts from chat to execution. Treat agent workflows like production systems: identity, least-privilege tool access, approvals, audit trails, and rollback.
A field guide to deploying agentic AI with identity, approvals, audit-logging, and reversible workflows that reduce delegation risk.
AEMS is a forcing function for alignment governance: design an auditable evidence pipeline, privacy-by-design controls, and red-team-ready evaluation before frontier AI outgrows checks.
Move from “chat help” to execution. This editorial translates agentic AI risk into least-privilege tool access, permission scopes, human approvals, and audit-grade logging.
The ICO’s final “Storage and Access Technologies” guidance forces tracking teams to prove technical controls, not just consent UX, across SAT, pixels, and device fingerprinting.
An enterprise playbook to turn agentic AI risk into controls: redesign access for least privilege, enforce tool allowlists, govern components with SBOM-style evidence, and tighten logging boundaries.
Agentic AI can run multi-step work like a privileged operator. This security-control checklist shows where to enforce least privilege, continuous auditing, and human breakpoints.
Security teams can treat agentic AI as privileged cyber capability by redesigning identity, logging, sandboxing, and governance evidence loops.
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