Applying enterprise security disciplines (identity, data classification, DLP, secure SDLC) to AI systems. Includes vendor diligence on model providers, agent pr
Enterprise security for AI integrates the new estate into corporate defense: identity and access for agents, data-loss prevention across AI channels, vendor AI risk, monitoring AI activity in the SOC, and policy that enables safe usage instead of shadow adoption.
Enterprise-urgent: every CISO now owns AI exposure, and security professionals who can govern AI usage without strangling it are requested by name in mid-to-large organizations.
Discovery: inventory actual AI usage, sanctioned and shadow, and the data flowing through it. Most organizations find multiples of expectations, and policy without visibility is theater.
Sanctioned alternatives plus clear data rules beat bans: provide capable approved tools, classify what data may flow where, monitor for violations, prohibition reliably produces invisible shadow usage.