SentinelOne Agentic Detection: How ADR Keeps AI Agents Safe

As AI agents take on real work inside companies, security teams need a way to see what those agents are doing and step in when one goes off course. SentinelOne's answer is Singularity Agentic Detection and Response (ADR), unveiled on October 21, 2026, at the company's OneCon 2026 conference in Las Vegas. It is available now in early access, and it brings the same runtime protection SentinelOne uses for endpoints and cloud workloads to AI agents.

• Discovery: inventories every agent, tool, skill, connector and MCP server across endpoints, SaaS and cloud, sanctioned or not
• Platforms covered: Salesforce Agentforce, Microsoft Copilot Studio, OpenAI ChatGPT workspace agents and Anthropic Claude managed agents
• In-line prevention: blocks prompt injection, jailbreaks, credential exfiltration and tool poisoning before an action executes
• Containment: can stop a single agent mid-action while the rest of the workflow keeps running

What Is Agentic Detection and Response?

Endpoint detection and response (EDR) watches processes on a computer and stops malicious behavior. Agentic detection and response applies that idea to AI agents, which now hold real credentials, chain tool calls and work independently. SentinelOne frames the risk in two parts: attackers trying to hijack agents, and sanctioned agents simply drifting away from what they were asked to do.

According to SentinelOne, Singularity ADR governs which AI agents are allowed to run and what they can reach, then judges anything that gets past policy with the same behavioral detections its platform already runs. In practice, an agent acting outside its intent is treated like any other threat.

How Does SentinelOne ADR Protect AI Agents?

SentinelOne lists several capabilities that work together:

• Agent and MCP inventory shows every agent and MCP server, the permissions each holds and the employee behind it
• Policy and execution governance sets allow and block rules for which agents run, who uses them and what they can reach, with approval workflows for high-risk tools
• Agent Traces sends every agentic event to Singularity Data Lake for search, dashboards and detection rules
• Unified Storyline places agent activity in the same execution graph as traditional EDR data, tracing a chain from user request to AI assistant to MCP server to the file or process that followed
• Intent drift detection flags the gap between what an agent was asked to do and what it actually did
• Agentic investigation completes an investigation automatically and responds within limits customers define

Why Unified Storyline Matters

The most practical piece may be the single timeline. When something unexpected happens on a laptop today, analysts often have to piece together whether a person, a script or an AI assistant started it. Linking agent actions to the processes they spawn gives defenders one place to answer that question quickly.

Who Is SentinelOne ADR For?

The offering builds on Prompt AI Agent Security, which SentinelOne introduced in March to discover AI agents and govern their connections to tools and data. Singularity ADR pairs that governance with runtime detection and response, and it is built on the Singularity Platform already used by more than 15,000 customers and partners, according to the company. Help Net Security covered the launch on October 22.

It joins a wave of constructive agent-security tools this autumn, including Microsoft's dynamic permissions for AI agents and ServiceNow's AI Passport. The common thread is encouraging: organizations want agents that are useful and accountable, and vendors are giving them the controls to deploy agents with confidence. Find more in our AI security coverage.

Sources: SentinelOne press release — October 21, 2026; Help Net Security — October 22, 2026.