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Security for AI Agents

Govern Agents the Same Way You Govern Humans

AI systems are requesting access, acting on behalf of users, and operating with credentials your security team never approved. Every new agent is an identity — with permissions, entitlements, and risk — but most organizations govern them with the same ad-hoc processes they use for service accounts: shared credentials, static roles, and no audit trail. Opal brings agent identities under the same policy framework, auditability, and enforcement as human identities, so your least-privilege posture doesn't have a blind spot shaped like an LLM.

Security for AI Agents

Govern Agents the Same Way You Govern Humans

AI systems are requesting access, acting on behalf of users, and operating with credentials your security team never approved. Every new agent is an identity — with permissions, entitlements, and risk — but most organizations govern them with the same ad-hoc processes they use for service accounts: shared credentials, static roles, and no audit trail. Opal brings agent identities under the same policy framework, auditability, and enforcement as human identities, so your least-privilege posture doesn't have a blind spot shaped like an LLM.

Security for AI Agents

Govern Agents the Same Way You Govern Humans

AI systems are requesting access, acting on behalf of users, and operating with credentials your security team never approved. Every new agent is an identity — with permissions, entitlements, and risk — but most organizations govern them with the same ad-hoc processes they use for service accounts: shared credentials, static roles, and no audit trail. Opal brings agent identities under the same policy framework, auditability, and enforcement as human identities, so your least-privilege posture doesn't have a blind spot shaped like an LLM.

Security for AI Agents

Govern Agents the Same Way You Govern Humans

AI systems are requesting access, acting on behalf of users, and operating with credentials your security team never approved. Every new agent is an identity — with permissions, entitlements, and risk — but most organizations govern them with the same ad-hoc processes they use for service accounts: shared credentials, static roles, and no audit trail. Opal brings agent identities under the same policy framework, auditability, and enforcement as human identities, so your least-privilege posture doesn't have a blind spot shaped like an LLM.

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TRUSTED BY LEADING COMPANIES

TRUSTED BY LEADING COMPANIES

TRUSTED BY LEADING COMPANIES

TRUSTED BY LEADING COMPANIES

The Problem

Your Identity Security Has a Blind Spot, and It's Growing Fast

AI agents are proliferating across the enterprise. Coding assistants write and deploy infrastructure. Workflow automations query databases and modify records. Customer-facing bots access production systems on behalf of users. Each one operates with credentials, requests access to resources, and acts with the authority of the identity it's been assigned. But almost none of them are governed the way human identities are. There's no JIT enforcement. No approval chain. No peer analysis. No audit trail that ties a specific action to a specific policy. The same security teams that spent years building least-privilege postures for human access are watching a new class of identity bypass it entirely.

Ungoverned by default

Most AI agents operate with static credentials and standing access — exactly the risk profile JIT was built to eliminate

No policy parity

Human access goes through approval chains and reviews; agent access is provisioned once and forgotten

Invisible to the graph

Agent identities often aren't represented in the access graph at all — making them impossible to query, audit, or revoke

The Problem

Your Identity Security Has a Blind Spot, and It's Growing Fast

AI agents are proliferating across the enterprise. Coding assistants write and deploy infrastructure. Workflow automations query databases and modify records. Customer-facing bots access production systems on behalf of users. Each one operates with credentials, requests access to resources, and acts with the authority of the identity it's been assigned. But almost none of them are governed the way human identities are. There's no JIT enforcement. No approval chain. No peer analysis. No audit trail that ties a specific action to a specific policy. The same security teams that spent years building least-privilege postures for human access are watching a new class of identity bypass it entirely.

Ungoverned by default

Most AI agents operate with static credentials and standing access — exactly the risk profile JIT was built to eliminate

No policy parity

Human access goes through approval chains and reviews; agent access is provisioned once and forgotten

Invisible to the graph

Agent identities often aren't represented in the access graph at all — making them impossible to query, audit, or revoke

The Problem

Your Identity Security Has a Blind Spot, and It's Growing Fast

AI agents are proliferating across the enterprise. Coding assistants write and deploy infrastructure. Workflow automations query databases and modify records. Customer-facing bots access production systems on behalf of users. Each one operates with credentials, requests access to resources, and acts with the authority of the identity it's been assigned. But almost none of them are governed the way human identities are. There's no JIT enforcement. No approval chain. No peer analysis. No audit trail that ties a specific action to a specific policy. The same security teams that spent years building least-privilege postures for human access are watching a new class of identity bypass it entirely.

Ungoverned by default

Most AI agents operate with static credentials and standing access — exactly the risk profile JIT was built to eliminate

No policy parity

Human access goes through approval chains and reviews; agent access is provisioned once and forgotten

Invisible to the graph

Agent identities often aren't represented in the access graph at all — making them impossible to query, audit, or revoke

The Problem

Your Identity Security Has a Blind Spot, and It's Growing Fast

AI agents are proliferating across the enterprise. Coding assistants write and deploy infrastructure. Workflow automations query databases and modify records. Customer-facing bots access production systems on behalf of users. Each one operates with credentials, requests access to resources, and acts with the authority of the identity it's been assigned. But almost none of them are governed the way human identities are. There's no JIT enforcement. No approval chain. No peer analysis. No audit trail that ties a specific action to a specific policy. The same security teams that spent years building least-privilege postures for human access are watching a new class of identity bypass it entirely.

Ungoverned by default

Most AI agents operate with static credentials and standing access — exactly the risk profile JIT was built to eliminate

No policy parity

Human access goes through approval chains and reviews; agent access is provisioned once and forgotten

Invisible to the graph

Agent identities often aren't represented in the access graph at all — making them impossible to query, audit, or revoke

How Opal Solves It

One Framework for Every Identity Type

Opal doesn't treat agent identities as a special case. They're first-class entities in the same access graph, subject to the same OpalScript policies, evaluated by the same Paladin engine, and queryable through the same OpalQuery interface as human identities. When an AI agent requests access, it goes through the same approval chain — with the same contextual evaluation, time-bound enforcement, and audit trail — as a request from any employee. The security posture you've built for humans extends to agents automatically, not as a bolt-on.

Key Capabilites

Key Capabilites

01

Agent Identities in the Access Graph

Agent Identities in the Access Graph

Opal treats AI agents as first-class identities in the unified access graph — alongside humans, service accounts, and groups — with full visibility into their entitlements, group memberships, resource access, and access history. Like any human identity, agents are queryable via OpalQuery, and no agent operates in a blind spot.

  • Agent identities appear in the same access graph as human and machine identities

  • Queryable via OpalQuery: "show me all AI agents with access to production databases" works the same as any other query

  • Full visibility into agent entitlements, access paths, and group memberships

02

Policy Parity with OpalScript

Policy Parity with OpalScript

OpalScript policies apply to agent identities without modification. JIT rules, approval workflows, SoD constraints, duration caps, and break-glass procedures govern agents exactly as they govern humans. Need agent-specific rules? Same language, same version control, same pipeline — credential scoping, delegation limits, and action-type restrictions are all expressible in the same composable logic.

  • Agent-specific constraints: credential scoping, delegation limits, action-type restrictions

  • Uniform policy enforcement across human and agent identities

  • Agent governance through Git and CI/CD — not an afterthought

03

Paladin Evaluates Agent Requests

Paladin Evaluates Agent Requests

When an AI agent requests access, Paladin applies the same multi-signal evaluation as human requests — identity context, access history, resource sensitivity, policy compliance, and justification quality. Agents within policy bounds are approved; those requesting sensitive access without adequate justification are escalated to a human reviewer with Paladin's reasoning attached. No rubber-stamping. No silent provisioning.

  • Paladin evaluates agent requests against identity context, history, and policy

  • High-confidence requests approved autonomously; ambiguous ones escalate with reasoning

  • Every agent access decision is auditable — same trail as human decisions

04

Time-Bound Agent Access by Default

Time-Bound Agent Access by Default

Standing access for AI agents is the same risk as standing access for humans — arguably worse, because agents operate at machine speed and don't take vacations. Opal enforces JIT and time-bound access for agent identities by default. Credentials are scoped to a task. Access expires on completion. Long-running agents are subject to periodic re-evaluation. The attack surface from a compromised agent credential is bounded by the same duration and scope policies that govern human access.

Beyond Agent Security

Beyond Agent Security

The Platform Advantage

The Platform Advantage

Agent identity governance isn't a standalone product — it's the natural extension of Opal's See → Encode → Enforce framework to a new identity type. The same platform that governs human access governs agent access, which means every improvement to OpalQuery, OpalScript, and Paladin automatically strengthens your agent security posture.

OpalQuery operates against Opal's unified identity and access graph; users, resources, and groups from every connected system. A few examples:

Access intelligence

OpalQuery surfaces agent identities alongside humans: query for over-provisioned agents, orphaned agent credentials, and agents with access to sensitive resources.

AI-powered reviews

Paladin evaluates agent access requests with the same contextual rigor as human requests — no separate review process, no governance gap.

Just-in-time access

Time-bound enforcement eliminates standing agent credentials, reducing the blast radius of any compromised agent identity

Programmable governance

OpalScript encodes agent-specific policies (credential scoping, delegation limits, action-type restrictions) in the same version-controlled, testable language used for human policies.

Trusted by security teams that ship fast and sleep well.

86K

Time-bound access requests

JIT Access and UARs Enhance Productivity and Security at Databricks

See customer story

Trusted by security teams that ship fast and sleep well.

86K

Time-bound access requests

JIT Access and UARs Enhance Productivity and Security at Databricks

See customer story

Trusted by security teams that ship fast and sleep well.

Trusted by security teams that ship fast and sleep well.

86K

Time-bound access requests

JIT Access and UARs Enhance Productivity and Security at Databricks

See customer story

The Next Identity Crisis Is Already Here. Govern It Now.

AI agents are the fastest-growing identity type in your environment — and the least governed. Opal extends the same programmable, auditable, enforceable security posture you've built for humans to every agent identity in your organization. No blind spots. No bolt-ons. No second-class identities. Track and manage your employees usage of Anthropic, OpenAI, and Devin platforms today.

The Next Identity Crisis Is Already Here. Govern It Now.

AI agents are the fastest-growing identity type in your environment — and the least governed. Opal extends the same programmable, auditable, enforceable security posture you've built for humans to every agent identity in your organization. No blind spots. No bolt-ons. No second-class identities. Track and manage your employees usage of Anthropic, OpenAI, and Devin platforms today.

The Next Identity Crisis Is Already Here. Govern It Now.

AI agents are the fastest-growing identity type in your environment — and the least governed. Opal extends the same programmable, auditable, enforceable security posture you've built for humans to every agent identity in your organization. No blind spots. No bolt-ons. No second-class identities. Track and manage your employees usage of Anthropic, OpenAI, and Devin platforms today.

The Next Identity Crisis Is Already Here. Govern It Now.

AI agents are the fastest-growing identity type in your environment — and the least governed. Opal extends the same programmable, auditable, enforceable security posture you've built for humans to every agent identity in your organization. No blind spots. No bolt-ons. No second-class identities. Track and manage your employees usage of Anthropic, OpenAI, and Devin platforms today.