Agent Runtime Security

Contain the agent, not the business

Opsin compares monitored agents’ activity with their intended purpose, surfaces risky behavior, and lets your team block an agent when needed.
See Opsin in action →
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Trusted by leaders
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0.5%

of agent tools require human confirmation before acting

2026 State of Agentic Adoption Report by Opsin Labs
The Solution

Context driven runtime enforcement

Opsin models each agent’s intent, access, and behavior to separate legitimate agents from dangerous ones. Context drives precision that makes runtime enforcement possible.

Agentless Visibility

Opsin uses supported platform APIs for continuous AI agent monitoring, including server-side runs and MCP tool calls where available.

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Risk Prioritization

Opsin ranks agents by their access, data, and capabilities, giving your team a focused view of the highest-risk cases.

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Agent Containment

Opsin lets your team block a risky agent, recheck the issue, and notify its owner.

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How It Works

From live agent to contained risk

1

Gain full Agent Visibility

Opsin quickly connects to your environment by API, no install needed. Within 24 hours, teams have visibility on all agents across sanctioned AI platforms, drafts and live, plus their connections and who built them.
2

Keep a continuous risk picture

Risk is not fixed at review. Opsin re-evaluates each agent as tools are added, sharing widens, and data access shifts. Reasoning behind every rating is provided in plain language so your team can act with confidence.
3

Decide what you permit

You define what is allowed. Opsin applies it live, as agents run, not only at review.
4

Contain & Fix

Quarantine high risk agents, remove excessive access, or route the fix to the owner with step-by-step guidance. Remediation lands with the person who built the agent, taking the burden off your team.
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Agent Runtime Security
in action →
Customer Proof

Assess agent risk with confidence

‘‘
Finally, I have a way to assess agent risks based on its capabilities and whether those capabilities align with the intended purposes.
Jim Shelby, Global IT Security Engineer, Culligan
Jim Shelby photo
‘‘
I need to know whether an agent’s connection to sensitive systems is risky or legitimate. Opsin gives me the deep context to tell the difference.
Lior Eldad, VP of IT, UiPath
Lior Eldad photo
Related Solutions

Extend protection across the agent lifecycle

Opsin covers the full agent lifecycle, from discovery to enforcement.
Agent Runtime Security
FAQ

What is AI agent runtime security?

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AI agent runtime security is the continuous monitoring of live agent activity against the agent's intended purpose. Opsin models each agent's intent, access, and behavior, then surfaces agents whose actions expose data or drift outside what they were built to do. We cover why this matters in Containing AI agent misbehavior.

How does Opsin detect when an agent misbehaves?

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Opsin classifies what each agent was built to do, then compares that intent with its actual activity, data access, and tool use. The gap between the two is the risk, and every rating comes with plain-language reasoning. For a real-world example of goal-driven agents going off course, read When agent goals matter more than rules.

Can Opsin contain a risky agent?

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Yes. When an agent crosses the line your policy defines, your team can:

  • Quarantine the agent while keeping the rest of the business running
  • Remove excessive access at the source
  • Route the fix to the agent's owner with step-by-step guidance

Remediation lands with the person who built the agent, not as another ticket on the security team's queue.

Does runtime monitoring disrupt how people work?

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No. Opsin connects by API with nothing to install, and enforcement follows the policy your team defines. Legitimate agents keep running while risky ones are contained. That is also why discovery comes first, see Agent Discovery.

How quickly does Opsin deliver visibility?

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Within 24 hours of connecting, teams see all agents across sanctioned AI platforms, drafts and live, plus their connections and who built them.

How often do agents act without human approval?

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Almost always. Opsin found just 0.5% of agent tools require human confirmation before acting, which is why continuous runtime monitoring matters more than one-time reviews. Start with a free AI Readiness Assessment to see where your environment stands.

What is AI agent monitoring?

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AI agent monitoring tracks what live agents do: the data they access, the tools they call and where they send information. Opsin goes one step further and compares that activity to each agent's intended purpose, so you see when an agent drifts from its job, not just that it was active. It covers server-side runs and MCP tool calls, not only chats.

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How is Opsin different from a DLP or CASB for AI agents?

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Those tools see events. Opsin sees intent. It models what each agent was built to do, compares that to live activity and access, and flags the gap rather than every event. The fix then goes to the person who built the agent. See how the model works on Why Opsin.

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Turn agent sprawl into risk clarity

See every agent, what it can reach, and what to fix.
See Opsin in action →
I need to know whether an agent’s connection to sensitive systems is risky or legitimate. Opsin gives me the deep context to tell the difference.
Lior Eldad
VP of IT, UiPath
Customer story →
Finally, I have a way to assess agent risks based on its capabilities and whether those capabilities align with the intended purposes.
Jim Shelby
Global IT Security Engineer, Culligan
Customer story →
For financial services organizations facing similar AI adoption challenges, I highly recommend partnering with Opsin. They provide the governance framework and ongoing oversight that enables confident, compliant AI deployment at scale.
Alex Bazay
CISO, Align Communications
Customer story →
Thanks to Opsin’s initial risk assessment, and their continuous monitoring of files introduced into our M365 environment, it gave me the confidence to recommend that we move forward.
Roftiel Constantine
Global CISO, Barry-Wehmiller
Customer story →
This was our wake-up call. Opsin helped us clean house and educate our data citizens, so we can confidently go live with Copilot.
Lisa Choi
Director Enterprise Architecture, Cascade
Customer story →
We had lived with some of these risks for years. AI just accelerated our timeline. With Opsin, we acted fast, which gave our business the confidence to adopt AI securely and at scale.
Amir Niaz
VP, Global CISO, Culligan
Customer story →
Working with Opsin helped me mature my own data classification and protection concepts. We were able to focus on the data that really mattered to our business and address the AI oversharing challenge fast.
Mike Schuetter
CISO, Encore Technologies
Customer story →
Thanks to Opsin’s risk assessment, we reduced our oversharing risk significantly and ensured proper rollout of AI while maintaining our data security and privacy policies. Opsin helps you detect and solve oversharing challenges continuously as you scale AI across your organization.
Dan Tabor
CISO, Healthmark
Customer story →
Opsin helps detect and remediate oversharing as you scale AI, preventing security incidents while preserving the productivity gains that make AI worthwhile.
Mihai Faur
CIO, UiPath
Customer story →
Opsin gave us exactly what we needed ─ clear visibility into our risk exposure across the environment. Now we can confidently move forward with our broader Copilot deployment knowing we understand what we’re dealing with.
Mike D’Arezzo
Executive Director of Security, Wellstar
Customer story →
I need to know whether an agent’s connection to sensitive systems is risky or legitimate. Opsin gives me the deep context to tell the difference.
Lior Eldad
VP of IT, UiPath
Customer story →
Finally, I have a way to assess agent risks based on its capabilities and whether those capabilities align with the intended purposes.
Jim Shelby
Global IT Security Engineer, Culligan
Customer story →
For financial services organizations facing similar AI adoption challenges, I highly recommend partnering with Opsin. They provide the governance framework and ongoing oversight that enables confident, compliant AI deployment at scale.
Alex Bazay
CISO, Align Communications
Customer story →
Thanks to Opsin’s initial risk assessment, and their continuous monitoring of files introduced into our M365 environment, it gave me the confidence to recommend that we move forward.
Roftiel Constantine
Global CISO, Barry-Wehmiller
Customer story →
This was our wake-up call. Opsin helped us clean house and educate our data citizens, so we can confidently go live with Copilot.
Lisa Choi
Director Enterprise Architecture, Cascade
Customer story →
We had lived with some of these risks for years. AI just accelerated our timeline. With Opsin, we acted fast, which gave our business the confidence to adopt AI securely and at scale.
Amir Niaz
VP, Global CISO, Culligan
Customer story →
Working with Opsin helped me mature my own data classification and protection concepts. We were able to focus on the data that really mattered to our business and address the AI oversharing challenge fast.
Mike Schuetter
CISO, Encore Technologies
Customer story →
Thanks to Opsin’s risk assessment, we reduced our oversharing risk significantly and ensured proper rollout of AI while maintaining our data security and privacy policies. Opsin helps you detect and solve oversharing challenges continuously as you scale AI across your organization.
Dan Tabor
CISO, Healthmark
Customer story →
Opsin helps detect and remediate oversharing as you scale AI, preventing security incidents while preserving the productivity gains that make AI worthwhile.
Mihai Faur
CIO, UiPath
Customer story →
Opsin gave us exactly what we needed ─ clear visibility into our risk exposure across the environment. Now we can confidently move forward with our broader Copilot deployment knowing we understand what we’re dealing with.
Mike D’Arezzo
Executive Director of Security, Wellstar
Customer story →