Discover and govern agents
Build a clear inventory of AI agents, MCP servers and tools, owners, identities, and access. Apply governance policies to reduce unknown servers and excessive permissions.
AI security, under control
AI moves fast.
Your controls should move first.
Pantheon Control is designed to show how AI agents reach business systems through MCP, APIs, SaaS connectors, browsers, code tools, and workflows—then help teams govern access, stop risky actions at supported control points, and coordinate verified remediation.
A product concept shaped by one principle: measure security by risk removed, not alerts created.
✓ Agent and identity context✓ On-path policy gates✓ Human-governed response
P Pantheon Control / Incident view
SIMULATEDAgent action path · illustrative
◉AI agentResearch assistant
⌘Tool routeMCP · API · browser
♙IdentityDelegated access
▣SystemsCloud · endpoint
◈Business dataRestricted
Policy action: pause and request approvalContainment staged · analyst review required · no automatic change shown
04Example signals
01Example case
DEMOFictional data
The platform
From AI visibility to safer action.
AI risk spans agents, identities, endpoints, cloud services and sensitive data. Pantheon Control is designed to bring those signals together so teams can understand what happened and decide what to do next.
Connect the attack path
Relate suspicious MCP and agent activity to identity changes, endpoint signals, cloud resources and sensitive business data in one investigation view.
Intervene before impact
Evaluate MCP tool calls and other agent actions against identity, approved server, tool scope, target sensitivity, and policy. Block or require approval only where a supported enforcement point is in the action path.
Contain with guardrails
Coordinate scoped response actions through existing security tools, with approvals, action previews and an audit trail for analyst oversight.
Guide remediation
Turn an incident into a tracked response plan: revoke risky access, isolate affected assets, address the root cause and verify the fix.
Show what changed
Give teams a readable record of evidence, decisions, approvals and post-action checks—so they can show how risk was reduced.
MCP governance
Bring AI tool access into the security picture.
MCP standardizes how AI applications connect to tools and data. It does not itself decide whether a tool call is safe. Pantheon Control is designed to make those connections visible and apply customer policy at supported enforcement points.
Discover servers and tools
Inventory approved MCP servers, advertised tools, owners, clients, identities, and reachable resources. Flag unknown servers and overly broad tool sets.
Trace calls to their impact
Relate an agent’s tool request to the initiating identity, server, downstream permission, target resource, and data sensitivity.
Enforce at the action path
Evaluate the requested tool, scope, target, and policy before execution. Deny or hold for approval only when traffic passes through a managed gateway or supported host control.
Product direction: MCP governance is a proposed capability. This website and interactive demo do not connect to MCP servers or enforce live policies.
Agent action paths
One governance view across the ways agents act.
MCP is one important route. Agents also call application functions, use native connectors, operate browsers, run code, trigger workflows, and delegate work to other agents. Each route needs its own visibility and enforcement point.
MCP servers
Track clients, servers, advertised tools, resources, prompts, owners, transport, and downstream permissions. Remote calls may be gated at a managed proxy; local stdio may need host controls.
Direct APIs and functions
Connect model-requested functions to the application code that executes them, the service identity it uses, and the API or system receiving the call.
Native SaaS connectors
Map connector grants and delegated user scopes to the records, mailboxes, files, and actions available through the connected account.
Browser and computer use
Relate browser sessions and user identity to the applications an agent can reach. Prevention depends on managed browser, session, or destination-side controls.
Shell and code tools
Track the host, container, IDE, notebook, or CI runner where an agent can read files, use secrets, run commands, and change infrastructure.
Workflows and delegation
Follow event-triggered jobs and agent handoffs across orchestrators, queues, and downstream systems—with ownership and approval boundaries intact.
Enforcement boundary: visibility does not equal prevention. A risky action can be stopped before execution only when a compatible policy control is placed on that action path and is authorized to enforce it. An integration inventory alone cannot stop an action.
Where organizations are applying agents
Start with useful work. Govern the authority it needs.
Current enterprise use includes research and reporting, data analysis, internal process automation, knowledge support, software development, and customer service. Higher-impact planning, finance, supply-chain, and procurement workflows need tighter approval and verification.
Research and reporting
Search approved sources, summarize findings, monitor markets, and prepare reports. Govern source access, citations, and destinations for generated outputs.
Data analysis
Query databases, combine records, and produce reports. Control query scope, sensitive fields, export size, and where results can be sent.
Internal operations
Move information between business systems and complete repeatable tasks. Review the permissions and side effects available to each workflow.
Software and IT
Generate or review code, investigate incidents, and propose infrastructure changes. Govern repository, shell, CI, cloud, and secret access.
Customer service
Find case context and draft or resolve complex responses. Limit customer data exposure and require review for consequential account changes.
Planning and procurement
Support financial planning, vendor research, and supply-chain analysis. Keep commitments, approvals, and final decisions with authorized people.
Evidence note: these examples reflect enterprise usage and survey-reported agent work. See OpenAI's 2025 enterprise report (enterprise AI use broadly, not agent-only) and Anthropic's 2026 agent survey report. These are not market-wide deployment rates.
How it works
One clear path from signal to resolution.
Pantheon Control is built to fit into the security stack you already use. It connects context and helps orchestrate a careful response; your team sets the policies and approval boundaries.
“The next generation of security will be measured by how much risk disappears, not how many alerts a platform creates.”
THE PANTHEON CONTROL PRINCIPLE01
Collect authorized signals
Connect authorized telemetry from AI hosts and gateways, MCP servers, identity, cloud, endpoint, and data services using scoped integrations.
02
Correlate context and assess risk
Link events from supported agent paths to the agent, user or service identity, delegated permissions, target resource, policy, and business impact. Keep evidence visible to the analyst.
03
Prevent or stage a response
Apply configured controls to deny or pause risky activity where supported. Otherwise, prepare a clear, approval-gated response.
04
Remediate and verify
Track the response through containment, root-cause correction and verification. Capture each action and approval.
Example scenario
When an AI agent’s access turns into an attack path.
Illustrative scenario: an MCP tool returns untrusted instructions and an agent then attempts an unapproved export with a valid service identity. Pantheon Control is designed to connect the tool call, identity, target data, and policy decision.
1
Spot the unusual behavior
An agent receives suspicious MCP tool output and attempts a high-impact tool call outside its approved scope.
2
Trace identity and reach
Correlate the agent identity with recent privilege changes, affected workloads and data sensitivity.
3
Stop or contain safely
Where an MCP gateway or managed host enforces policy, deny the unapproved call before it reaches the server; otherwise stage containment for authorized review.
4
Fix the cause and confirm
Track credential rotation, permission correction and post-action checks to a verified resolution.
Incident chain · AI agent misuse
SIMULATEDEvidence linked across the environment
◉Agent actionUnexpected tool use
♙IdentityPrivilege elevated
▣WorkloadResource accessed
◈DataSensitive target
Response guardrail
Preview the impact. Require approval for high-impact changes. Log actions and verify that the risky access path is closed.
Analyst-controlled resolutionIllustrative flow · no customer systems connected
See the Pantheon Control experience.
Explore the simulated MCP scenario to see how a proposed policy gate evaluates an agent tool call, then follow the incident through containment and remediation.
Open the demo Talk to us