The speed of AI adoption inside enterprises has been extraordinary. Employees are using AI to analyse documents, draft content, accelerate research and improve decision-making.
Every major technology shift reveals an existing weakness within the enterprise.
Cloud computing exposed the limits of perimeter security.
Remote work challenged assumptions around network trust.
Generative AI is now shining a spotlight on a different challenge: how organisations govern their data.
The speed of AI adoption inside enterprises has been extraordinary.
AI adoption is accelerating, but governance is lagging. Learn why accountability, cybersecurity and oversight may be AI's biggest…
Enterprise AI Governance in 2026: Why the Tools Employees Use Are Ahead of the Policies That Cover Them. Shadow AI is inside....
Shadow AI has moved beyond data leakage as AI agents gain access to apps, APIs, credentials, and enterprise systems.
Traditional DLP solutions rely on pattern matching, exact fingerprinting and predefined rules, but AI interactions are far less…
KnowBe4 closes the AI governance gap by extending human risk management to AI agents with visibility, accountability and control…
While enterprises ban the use of personal AI tools, employees often still use the tools to perform work-related tasks.
