The Birth of AI Governance
The AI honeymoon is over
Enterprise governance begins now
The AI honeymoon is over. Enterprise governance begins now.
Watch GTB Technologies® at the Black Hat USA 2026 AI Summit explore how the rise of autonomous and agentic AI is changing the way organizations must think about data security, governance, and control.
AI Governance Has to Go Beyond the Prompt
AI is no longer limited to answering questions. AI applications and agents can retrieve information, connect to enterprise systems, interact with APIs, combine data from multiple sources, and take actions on behalf of users.
That changes the security challenge.
Knowing what was entered into a prompt is only part of the picture. Organizations also need visibility into what sensitive data AI can access, how that information is being used, what actions are being taken, and where that data may move next.
In this Black Hat session, GTB explores how enterprise data security must evolve as AI becomes more autonomous.
In this session, explore how to:
- Move beyond simply logging AI prompts toward governing AI actions and data access.
- Discover and classify sensitive information automatically.
- Apply data security controls to AI interactions and agentic workflows.
- Strengthen DLP with data lineage, context, and policy enforcement.
- Address emerging areas such as AI agents, MCP connections, Shadow AI, model enforcement, and sensitive-data exposure.
- Support AI governance and compliance without losing visibility and control.
The presentation reflects GTB’s broader approach to protecting sensitive information as AI changes how enterprise knowledge is accessed, combined, and shared.
Protect What AI Knows
AI adoption does not have to mean losing control of enterprise data.
GTB Technologies® brings together data discovery, classification, Data Loss Prevention, AI-aware controls, and data security capabilities to help organizations understand and protect sensitive information across modern environments
DLP that Works
In this session, explore how to:
- Move beyond simply logging AI prompts toward governing AI actions and data access.
- Discover and classify sensitive information automatically.
- Apply data security controls to AI interactions and agentic workflows.
- Strengthen DLP with data lineage, context, and policy enforcement.
- Address emerging areas such as AI agents, MCP connections, Shadow AI, model enforcement, and sensitive-data exposure.
- Support AI governance and compliance without losing visibility and control.
The presentation reflects GTB’s broader approach to protecting sensitive information as AI changes how enterprise knowledge is accessed, combined, and shared.
Protect What AI Knows
AI adoption does not have to mean losing control of enterprise data.
GTB Technologies® brings together data discovery, classification, Data Loss Prevention, AI-aware controls, and data security capabilities to help organizations understand and protect sensitive information across modern environments
DLP that Works
