01 / DISCOVER · AI and agent security posture management
Know your AI estate. See the paths to impact.
Discover and continuously govern AI systems, agents, tools, identities, dependencies, and data connections from one living risk graph.
AgentSPM
Illustrative product view
AI ESTATE / PRODUCTION
Assets and accountability
AssetTypeOwnerPosture
RELATIONSHIP CONTEXT
Ownership, identity, authority, tools, data, dependencies, and change remain attached to each asset.
CONTINUOUS AI ESTATE VISIBILITY
Continuously map every AI system, agent, identity, permission, data path, and reachable action.
AI adoption now spans cloud services, internal applications, agent builders, endpoints, MCP servers, and embedded SaaS features. Static inventories miss the relationships that determine real risk: identity, authority, data access, ownership, and change over time.
Unknown AI
Unsanctioned services, embedded models, and newly deployed agents can operate outside established review and ownership workflows.
Hidden blast radius
A low-profile agent may still reach sensitive data or consequential tools through delegated identities, MCP servers, APIs, and sub-agents.
Control drift
Approved configurations, permissions, guardrails, and dependencies can change after review without a matching risk decision.
CONNECTED AI ESTATE
Inventory alone cannot explain AI risk. Relationships can.
AgentSPM is structured around the estate and the paths through it: what the system is, which authority it holds, what it can reach, who is accountable, and how that state changes.
AGENTSPMLiving risk graphEvidence and change connected
AI systems
Applications, agents, models, services, and embedded AI
Authority
Human, service, and agent identities, roles, credentials, and delegation
Reach
Tools, MCP servers, APIs, data, memory, destinations, and dependencies
Accountability
Business purpose, owner, environment, approval, exception, and review state
OUTCOMES
One operational record for the estate, its risk, and the decisions around it.
Every output stays connected to the underlying asset, relationship, evidence, owner, and review state.
A living AI inventory
Unify models, applications, agents, MCP servers, tools, identities, data connections, dependencies, owners, and environments.
Risk explained as a path
Trace how an asset can move from sponsor and identity through tools and data to a consequential action, not just a standalone score.
Evidence-backed posture
Connect each finding to the observed configuration, relationship, permission, or change that caused it.
Governance that moves
Route new AI through ownership, review, approval, exception, and renewal workflows as the environment changes.
HOW AGENTSPM WORKS
Discover. Map. Assess. Govern. Approve.
A continuous operating loop turns scattered AI observations into accountable decisions.
- 01Discover
Build the observable AI estate
Identify sanctioned, unsanctioned, embedded, cloud, SaaS, endpoint, and internally built AI across agreed discovery sources.
- 02Map
Build the relationship graph
Connect agents to models, prompts, tools, MCP servers, identities, credentials, APIs, data, owners, and dependencies.
- 03Assess
Prioritize exploitable exposure
Evaluate configuration, excessive permission, public reachability, dependency, data, and policy risk in context.
- 04Govern
Assign decisions and accountability
Track ownership, acceptable use, exceptions, review dates, remediation, and risk acceptance on the asset itself.
- 05Approve
Operationalize AI onboarding
Move new services and agents through cross-functional review with evidence, conditions, and a durable decision record.
FINDING RECORD
Show the reason, the path, and the next action.
A useful posture finding must be inspectable and actionable. AgentSPM preserves the observation behind the conclusion instead of hiding it behind a standalone score.
- 01
Observed condition
The configuration, relationship, permission, exposure, or change that created the finding.
- 02
Supporting evidence
The source and observation an operator can inspect, with collection context and limitations.
- 03
Path to impact
How the asset, identity, tool, dependency, and data relationship combine into a consequential path.
- 04
Accountable decision
The owner, required action, review state, exception, and durable record of what happens next.
PRODUCT CAPABILITIES
Five capabilities working as one AgentSPM product.
These capabilities form one product experience across discovery, context, prioritization, governance, and approval.
Discovery
Connector-led inventory across AI applications, services, agents, models, and runtime environments.
Risk Graph
A connected view of assets, identities, dependencies, data, permissions, owners, and reachable actions.
Exposure & Permissions
Contextual findings for reachable data, excessive authority, unsafe configuration, and vulnerable connections.
Governance
Ownership, policies, exceptions, review status, evidence, and remediation workflows tied to each asset.
AI Onboarding
A structured path to assess, approve, condition, reject, and periodically review AI use.
TECHNICAL DECISION SYSTEM
From connected evidence to an owned risk decision.
AgentSPM is the posture and accountability system of record. Its value depends on observable sources, relationship fidelity, and a workflow that moves evidence toward a named decision.
PRODUCT ROLESystem of record for AI assets, authority, reach, ownership, posture, and change.
Available product · deployment scopedWHERE THIS PRODUCT CHANGES THE DECISION
Move from product mechanism to the operating outcome.
A product may lead one solution and provide context or evidence in another. Its role is stated explicitly on each path.01 / GOVERNLead
Govern AI Adoption
Govern AI adoption with current evidence, accountable ownership, and risk-based approval.
Explore the solution →02 / CONTROLContext
Secure Agentic Operations
Authorize every consequential agent action with identity, purpose, context, and policy.
Explore the solution →03 / ASSUREContext
Assure AI Releases
Release AI systems with version-bound attack, control, and artifact evidence.
Explore the solution →DEPLOYMENT SCOPE
Confirm coverage for the selected AI environment.
AgentSPM provides posture and governance context. Discovery sources, object depth, permissions, and operating ownership are confirmed before implementation.
Discovery is source-dependent
Coverage depends on the connected platforms, available interfaces, granted permissions, and observable evidence confirmed during technical scoping.
A score is not exploit proof
AgentSPM prioritizes posture and relationship risk. Cosmipher AI Security Testing or another validated test is used when exploitability must be demonstrated.
Posture is not inline enforcement
AgentSPM assigns and governs risk. Cosmipher AI Firewall makes runtime allow, hold, restrict, or block decisions at a supported control point.
Mapping is not certification
Framework and policy mappings organize evidence and decisions; they do not by themselves establish regulatory compliance or certification.
TECHNICAL FAQ
Deployment, coverage, and operating fit.
Is AgentSPM only an inventory?
No. Inventory is the starting point. AgentSPM connects each asset to ownership, identities, permissions, tools, data, dependencies, posture findings, approvals, and observed change.
Does it cover agents and MCP servers?
Yes. AgentSPM covers agents, delegated agents, MCP servers, tools, identities, and their connections. Discovery depth depends on the selected platforms and interfaces and is confirmed during technical scoping.
How is risk prioritized?
A useful finding explains the observed condition and its path to impact: what is exposed, what it can reach, which authority enables it, and what evidence supports the conclusion.
Can teams start before deploying inline controls?
Yes. AgentSPM is designed as the lower-friction entry point through connectors and inventory sources. Runtime and testing evidence can enrich the graph as those products are introduced.
What happens after a risk is found?
The workflow connects the finding to an owner and decision, then routes it toward remediation, targeted testing, an enforcement policy, an exception, or an approved risk record.
START WITH A DEFINED ESTATE