Lines from real enterprise incident rooms and AI-security surveys. Not product features. Gaps your people already feel that no classic control alone closes.
The gap · Incident room
Agent and human shared one account. The record shows a single actor and accounts for nothing.
Source: Proofpoint, State of AI Security 2025 (survey of 275 enterprise security and business leaders). Quotes are what respondents report, not measured outcomes on this site.
Every item names the one thing worth learning next. If it cannot, it does not run.
From the field · 13 Sep 2026
HBR analysis warns that enterprise AI tool usage creates IP leakage risk through employee interaction feedback loops, synthetic data reuse, and shadow AI accounts that bypass corporate security controls
Standard DLP controls designed for email and document exfiltration do not cover the novel leakage vectors introduced by conversational AI interfaces and model training feedback loops
What to learn next
Implement AI-specific DLP controls that monitor employee interactions with external AI platforms for proprietary data exposure, enforce enterprise-tier contracts that block training on user data, and detect unauthorized shadow AI account usage
Forrester's AEGIS playbook and the Agent Airlock project both emphasize guardrails for intent, authority, and access when deploying AI agents at production scale
Agent authorization is emerging as a distinct security control domain separate from traditional IAM, requiring runtime policy enforcement that traditional access controls cannot provide
What to learn next
Deploy agent sandboxing with policy enforcement that constrains agent actions by intent, authority level, and data access scope, and integrate agent authorization gates into your CI/CD pipeline for AI deployments
US lawmakers advance bipartisan kill-switch legislation requiring oversight mechanisms and shutdown capabilities for advanced AI systems, while Anthropic's CEO calls for industry-wide development coordination
Mandated shutdown capabilities for production AI systems are moving from policy discussion to legislative reality, creating a compliance obligation security teams will need to meet
What to learn next
Prepare documented shutdown procedures and oversight mechanisms for production AI systems, including kill-switch testing in incident response drills, ahead of expected regulatory mandates