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Cyberhaven launches Agentic Data Security to track and control AI data use

Cyberhaven has introduced Agentic Data Security (ADS), to help CISOs, data security teams, insider risk teams, and AI governance leaders say yes to AI agents without losing control of their data.

DKCISSP News DeskHelp Net Security5 Nov 2026, 8:34 pm3 min read
DKCISSP REPORT

Cyberhaven has introduced Agentic Data Security (ADS), to help CISOs, data security teams, insider risk teams, and AI governance leaders say yes to AI agents without losing control of their data.

Agentic Data Security shows security teams what every AI agent does with company data, who it is acting for, where the data goes next, and stops sensitive data before it leaves.

The companies leaning furthest into the agentic future, from frontier AI labs to top quant hedge funds, already rely on Cyberhaven to protect their most sensitive data.

AI agents have changed how work gets done, and with them comes a new kind of insider risk; cyberhaven Labs found that endpoint-based agentic AI app adoption doubled year over year, reaching 60% in May 2026.

Most companies will adopt agents faster than they can build new controls for them.

As agents move from pilots to production, security leaders across industries are asking the same question: what is an agent doing with our data, and who sent it?

Cyberhaven’s Agentic Data Security gives security teams four controls over every agent: The agentic enterprise will be defined by how well companies control the data agents touch, not by how many they deploy.

Agents act with the access of the people they serve, at machine speed, so a single agent can read a file, query a database, and share what it finds within one workflow.

This rapid adoption creates novel data risks that can originate with trusted agents.

Agentic Data Security brings that to agents with complete visibility into workflows through data lineage, one unified architecture for both humans and agents, and protection that takes action in real time through enforcement across endpoints, browsers, and the cloud.

Agentic Data Security gives them the confidence to deploy agents while keeping control of the data itself, not just the tooling that touches it.

The first agentic data incident at most companies may be an agent doing exactly what it was asked to do, with data it should never have touched.

Because agent tool calls and reasoning traces are content Cyberhaven can already inspect, the policies customers use to manage insider risk now apply to agents too.

What happened

Cyberhaven has introduced Agentic Data Security (ADS), to help CISOs, data security teams, insider risk teams, and AI governance leaders say yes to AI agents without losing control of their data.

Agentic Data Security shows security teams what every AI agent does with company data, who it is acting for, where the data goes next, and stops sensitive data before it leaves.

The companies leaning furthest into the agentic future, from frontier AI labs to top quant hedge funds, already rely on Cyberhaven to protect their most sensitive data.

What changed

AI agents have changed how work gets done, and with them comes a new kind of insider risk; cyberhaven Labs found that endpoint-based agentic AI app adoption doubled year over year, reaching 60% in May 2026.

Most companies will adopt agents faster than they can build new controls for them.

Who is affected

As agents move from pilots to production, security leaders across industries are asking the same question: what is an agent doing with our data, and who sent it?

Cyberhaven’s Agentic Data Security gives security teams four controls over every agent: The agentic enterprise will be defined by how well companies control the data agents touch, not by how many they deploy.

Why it matters

Agents act with the access of the people they serve, at machine speed, so a single agent can read a file, query a database, and share what it finds within one workflow.

This rapid adoption creates novel data risks that can originate with trusted agents.

Technical details

Agentic Data Security brings that to agents with complete visibility into workflows through data lineage, one unified architecture for both humans and agents, and protection that takes action in real time through enforcement across endpoints, browsers, and the cloud.

Response

Agentic Data Security gives them the confidence to deploy agents while keeping control of the data itself, not just the tooling that touches it.

What security teams should do

The first agentic data incident at most companies may be an agent doing exactly what it was asked to do, with data it should never have touched.

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