AI Security and Posture Management (AI-SPM)

Posture and control, from the moment agents appear.

Get the complete picture of tools invoked, inherited permissions, and data moved across every agent in your environment. And the controls to act on it at runtime.

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Agents are in production. Governance isn’t.

Human workflows are becoming automated ones. Risk is now continuous, carried out by non-human identities acting across apps at machine speed. The question is no longer who logged in. It is what changed, what moved and what caused it. Traditional tools weren’t built for this.

NO DISCOVERY
Questions you can't answer yet
Which agents exist? Who owns them? What apps can they access? Without a unified inventory, these questions land on security with no clean answers.
NO VISIBILITY
Agents don’t show up in your security stack
No SSO. No Active Directory. No offboarding. Agents authenticate through trusted integrations and never surface in the tools built to monitor human activity.
OVER-PERMISSIONED
Access is granted, never scoped
Agents routinely receive 10× the access their workflows need. Every orphaned agent with persistent credentials is a liability no one is watching.
COMPOUNDING RISK
New agents inherit old permissions
When teams build on existing agents, they inherit all prior entitlements. Risk doesn't grow linearly. It compounds with every new deployment.

Individually fine. Together, dangerous.

Most risks don't come from a single misconfiguration. They come from combinations – permissions and access patterns that look fine on its own, until they converge.

Privilege escalation
Abandoned agent
Unsactioned path
Risky MCP
Data exposure
Credential sprawl
Instant exfiltration

Admin by proxy

An admin builds an agent that inherits their own permissions, then shares it org-wide. Every team member invoking the agent effectively becomes the admin, without IT ever knowing.

The ghost credential

When the person who built an agent leaves the org, the agent doesn't leave with them. It keeps running with full access and no owner. A ghost identity no one is watching.

The unmarked exit

Agents connected to unapproved external services create a direct path out of the environment. Sensitive data moves through it with no DLP trigger and no audit trail that records the movement.

The unsanctioned path

An MCP server with no authentication requirement sits exposed on the network. Any agent, or an actor, that discovers it, can invoke its tools and reach connected data sources without credentials.

The model nobody approved

An agent running in production quietly switches from the approved internal model. Sensitive data sent as context is now processed by an unapproved model. No alert fired. No one noticed.

One key, many locks

A single shared integration credential with broad OAuth scopes silently elevates permissions across every agent that uses it. Change it once, and you change the blast radius of dozens of agents accessing enterprise applications, at the same time.

The open door

An agent built with a public URL grants anyone who discovers the link the agent's full set of permissions, bypassing every user-level access control in place.

See everything. Control what matters.

Discover all your AI agents from day one. Understand what they can actually do. Enforce guardrails and policies at runtime before impact occurs. Enable safe AI adoption without the guesswork.

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Full inventory and observability

Discover sanctioned and shadow AI immediately. Governance extends as adoption grows, across every platform your teams build on.

One source of investigative truth

Every agent, every permission, every action across every app is continuously mapped at runtime for audits and investigations.

Faster deployment approvals

Security reviews are evidence-based, not investigative. Agent and tool approvals happen in minutes, not days.

Security that scales with innovation

Governance expands as your AI footprint grows. New platforms and apps are covered instantly, so the attack surface never outpaces visibility.

Enforcement at
execution

Block privilege escalation, excessive data access, and policy violations at runtime, without disrupting legitimate workflows or slowing adoption down.

One AI control plane.
Coverage where it counts.

Every team builds with a different tool. Each platform has its own permissions model, its own integrations, and its own blind spots. Obsidian inventories and enforces governance across SaaS, cloud, endpoints and code platforms, so coverage never depends on which tool someone chose to build with.

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Start with agents. Add apps when ready.

Obsidian delivers immediate visibility from the moment you connect. The picture gets sharper as you add more.

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Agents Only

AI Agents act without guardrails. Your AI security starts here.

Connect your AI systems and platforms for continuous visibility and control of your entire agent footprint.
Complete agent inventory across all platforms
MCP server discovery and mapping
LLM inventory and model change detection
Agent-level risk scoring against OWASP standards
Risk scoring based on toxic combinations
Ownership, lineage, and runtime guardrails

Built for the security team accountable for AI.

AI agent risk spans roles. Obsidian gives each one the visibility needed, so innovation doesn’t slow down to a halt.

CISO

Answers at your fingertips

No spreadsheets, no gap between what you’re asked and what your team can answer. Walk into any conversation confidently with a live agent inventory, justified permissions and logged risk – in minutes.

AI Security Lead

Govern what you can’t slow down

Agents scale faster than any team can manually review. Maintain a single system of record, surface shadow AI in real time, and stay ahead of enterprise risk before it becomes an incident.

App Security Lead

Least privilege, extended to agents

One over-permissioned agent can undo months of access governance. See exactly where agent permissions exceed what their workflows require, and close the gap.

Targeted insights to help secure your AI agents

5 Security Assumptions AI Agents Break

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The CISO Playbook for Securing AI Agents

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AI agents are silently changing how data leaves your apps. Here’s how to stay ahead.

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Frequently asked questions

What does Obsidian actually discover about AI agents?

Obsidian inventories agents across platforms and shows the tools they invoke, the permissions they inherit, and the data they move. It also maps ownership, lineage, MCP servers, and LLM usage, including model changes.

Can Obsidian find shadow AI or agents that aren't visible in normal identity systems?

Yes. Agents often don't appear in SSO, Active Directory, or human activity monitoring tools. Obsidian discovers both sanctioned and shadow AI from day one, regardless of where they were built or how they authenticate.

What kinds of risks can it surface?

Obsidian flags orphaned agents with persistent access, public URLs that expose agents, unapproved external services, unsanctioned MCP connections, silent model swaps, and shared credentials with broad OAuth scopes. Risk is scored based on toxic combinations, not just individual misconfigurations.

Does Obsidian only show posture, or can it enforce controls too?

Both. Obsidian enforces guardrails at runtime, including blocking privilege escalation, excessive data access, and policy violations at the moment of execution, not after the fact.

What changes if I also connect enterprise applications?

With agent platforms alone, you get full visibility into your agent footprint. Adding enterprise applications lets Obsidian govern what agents can actually execute, map multi-hop access across apps, trace blast radius, and apply fine-grained runtime enforcement at the application level.

Will this work if different teams build with different AI tools?

Yes. Coverage spans SaaS, cloud, endpoints, and code platforms. Governance doesn't depend on which tool a team chose to build with.

How does this help with security reviews or audits?

Obsidian continuously maps every agent, permission, and action at runtime, giving security teams a single source of truth. Approvals become evidence-based and faster, and teams have ready answers when incidents or audits arise.

Who inside an organization is this built for?

CISOs, AI Security Leads, and App Security Leads. Each role gets live inventory, permission data, runtime risk, and over-permissioned agent alerts so they can govern AI without slowing adoption.