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AI Research Center2026-09-25T16:14:11+01:00

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AI is in your enterprise. Govern what it sends out.

The hub for securing enterprise AI use, from Shadow AI and the EU AI Act to agentic threats. Understand the risk, then close it with anti data exfiltration technology (ADX) on the endpoint.

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The short answer

What is enterprise
AI security?

Enterprise AI security is the practice of governing how an organization’s people and systems use AI tools, so that sensitive data is not exposed through prompts, integrations, or autonomous agents.

It spans three problems most teams face at once: discovering unsanctioned AI use (Shadow AI), proving compliance with regulations like the EU AI Act, and defending against AI-specific attacks such as data poisoning. What ties them together is data movement, and the most reliable place to control it is the endpoint, before anything is sent.

EXPLORE BY TOPIC

The four fronts of AI risk.

Shadow AI

Discover unsanctioned AI tools on every endpoint, before sensitive data reaches them.

AI Governance & EU AI Act

Turn policy into enforcement and stay ready for 2026 compliance deadlines.

Agentic AI Threats

Understand poisoning and autonomous-agent risk as AI starts taking real actions.

Data Poisoning

See how manipulated data corrupts AI behavior, and where containment is realistic.

The BlackFog difference

Most AI security stops at discovery. We stop the data.

Knowing which AI tools are in use is a starting point, not a defense. ADX Vision acts at the moment that matters, on the endpoint, where sensitive data would actually leave.

on the endpoint

Where the data actually leaves

Network and proxy tools miss encrypted, conversational AI traffic. ADX sees and acts on the device itself.

PREVENT, NOT JUST DETECT

Blocks the transfer in real-time

Sanctioned work keeps moving; the sensitive transfer that would breach policy does not.

NO POLICIES TO WRITE

Behavioral, not blocklists

Identifies AI destinations by behavior, so coverage holds as new tools appear every week.

From the research desk

Latest on AI security.

common questions

AI security, answered.

How does BlackFog help with the EU AI Act?2026-09-01T18:32:30+01:00

ADX Vision maintains visibility of AI tools in use, tracks the data-handling terms behind each model, and blocks transfers that would breach policy, producing the evidence and control the Act expects, enforced on the endpoint rather than in a document.

Does governing AI mean banning tools like ChatGPT?2026-09-01T18:31:49+01:00

No. Blanket bans push usage onto personal devices where there is even less visibility. The durable approach is to allow sanctioned AI while blocking the specific transfers that put data at risk, judged by what is being sent rather than which site it goes to.

How is AI security different from traditional data loss prevention?2026-09-01T18:31:02+01:00

Traditional DLP matches known patterns against known channels like email and USB. AI usage breaks those assumptions: data leaves inside encrypted browser sessions to destinations DLP has no reason to distrust. Effective AI security watches data movement on the endpoint, by behavior, before it is sent.

What is Shadow AI?2026-09-01T18:29:58+01:00

Shadow AI is the use of AI tools and assistants that an organization has not approved or does not monitor, such as employees pasting sensitive data into consumer chatbots. Because the data leaves as encrypted conversational text, traditional DLP and network tools rarely see it.

FRee assessment

See the Shadow AI on your endpoints.

Run a free 14-day AI Discovery & Data Exposure Assessment in your own environment.

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