The Invisible Governance Layer: Why Every AI Policy Fails Without It
AI policies focus on models, ethics, privacy, but many neglect the invisible governance layer that operationalizes those policies.
AI policies focus on models, ethics, privacy, but many neglect the invisible governance layer that operationalizes those policies.
Agencies are rushing to adopt AI, but few prepare for what happens when contracts end. Building in continuity is not optional, it’s a resilience imperative.
Agencies worry about shadow IT, but the quiet risk today is shadow procurement, micro-purchases that bypass governance and bring in unvetted AI.
A new, holistic approach to cyber risk management is needed, so federal agencies can build a more secure digital future and better achieve their missions.
Automated patching is key to strengthening an agency’s cyber defenses. Comprehensive, strategic patch-management includes infrastructure audits, risk assessments, alignment with federal guidelines, automation, and agencywide collaboration.
Traditional identity verification methods have become less effective, and they’re exposing organizations to dangerous cyberattacks. But a risk management approach that includes multi-factor authentication, among other tools, can safeguard agency networks and data.
Identity is more than a credential — it’s the metadata that makes up the identity. Learn to use identity as the basis of security.