Sycamore Guard

Put every AI system under accountable control.

Find every AI system your organization builds or buys, approve its use, enforce policy at runtime, and preserve the evidence, all in one control plane.

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01 / Discover

Find the AI estate. Give every system an owner.

Guard inventories every AI use case, agent, application, model, connector, and MCP server. Forge-built systems register automatically; external agents join through telemetry, A2A, or direct registration. Each record connects ownership, versions, capabilities, tools, data access, and activity while separating declared intent from observed behavior.

02 / Approve

Approve the use case, not just the tool

Conditional intake captures purpose, data and tool access, models, decisions, and human oversight. Guard assigns risk, runs evaluations, and routes required reviews without self-approval. Approved budgets, models, and operating boundaries become runtime policy; material changes trigger renewed review.

03 / Enforce

Turn policy into the path every agent must take

Every agent gets an identity, with model, tool, and data access routed through policy. Approval gates and scoped controls bound high-impact actions; revocation stops the agent across governed environments. Authority expands through evaluations and operating evidence, then contracts when behavior or policy changes.

Forge and Guard

Build with Forge. Govern everything with Guard.

Forge-built systems arrive in Guard with ownership, versions, environments, and build evidence attached; external agents, coding assistants, models, and connections enter the same operating model. Together, Forge moves business intent into production while Guard enforces policy and preserves proof.

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04 / Operate
See behavior and cost while they happen
Monitor live agent requests, model and tool use, latency, tokens, and spend. Set budgets and rate limits, route work efficiently, and block or pause behavior outside policy.
05 / Prove
Give auditors evidence, not screenshots
Keep a tamper-evident record of approvals, policy checks, access, changes, and revocations, ready to replay, export as an evidence pack, or stream to your SIEM.
06 / Ask Guard
Ask the estate in plain language
Ask who owns an agent, what changed, where spend is rising, or which approvals are expiring. Guard answers from role-appropriate evidence and links to the underlying record.

Frequently asked questions

The short ones are here. For anything else, ask below.

Does Guard work with agents we did not build in Forge?

Yes. Register agents directly or discover them through the gateway, telemetry, and A2A. Guard applies the same ownership, intake, policy, monitoring, and evidence model to built and bought systems.

Does Guard only monitor agents?

No. Guard combines observation with identity, policy checks, approvals, budgets, network boundaries, and revocation to control what an agent can do next.

Can we use our own risk and approval process?

Yes. Configure intake, risk rules, evaluations, review teams, approval stages, and exceptions. Each decision stays attached to the reviewed use case and version.

Can Guard stop an agent?

Yes. Revoke identity, pause execution, remove a connection, or block required model and tool paths. Guard applies the stop and records who acted, why, and what changed.

What does Guard record?

Guard records ownership, submissions, decisions, policies, evaluations, model and tool activity, cost, configuration, credentials, deployments, exceptions, and revocations, with request and response capture governed by your retention policy.

Can we connect Guard to our existing security and reporting systems?

Yes. Stream events to your SIEM, export evidence packs, or use Guard APIs to connect existing security, risk, compliance, and finance workflows.

Do we have to adopt the whole platform at once?

No. Start with registry and intake, runtime controls, cost management, or audit evidence. Each feature works independently while sharing the same identity, policy, and evidence model.

Bring your AI estate under one accountable system

Show us what your teams build, buy, and run. We will show you how Guard makes the estate accountable.

Request a demo

# Put every AI system under accountable control. Find every AI system your organization builds or buys, approve its use, enforce policy at runtime, and preserve the evidence, all in one control plane. ## 01 / Discover ### Find the AI estate. Give every system an owner. Guard inventories every AI use case, agent, application, model, connector, and MCP server. Forge-built systems register automatically; external agents join through telemetry, A2A, or direct registration. Each record connects ownership, versions, capabilities, tools, data access, and activity while separating declared intent from observed behavior. --- ## 02 / Approve ### Approve the use case, not just the tool Conditional intake captures purpose, data and tool access, models, decisions, and human oversight. Guard assigns risk, runs evaluations, and routes required reviews without self-approval. Approved budgets, models, and operating boundaries become runtime policy; material changes trigger renewed review. --- ## 03 / Enforce ### Turn policy into the path every agent must take Every agent gets an identity, with model, tool, and data access routed through policy. Approval gates and scoped controls bound high-impact actions; revocation stops the agent across governed environments. Authority expands through evaluations and operating evidence, then contracts when behavior or policy changes. --- ## 04 / Operate ### See behavior and cost while they happen Monitor live agent requests, model and tool use, latency, tokens, and spend. Set budgets and rate limits, route work efficiently, and block or pause behavior outside policy. --- ## 05 / Prove ### Give auditors evidence, not screenshots Keep a tamper-evident record of approvals, policy checks, access, changes, and revocations, ready to replay, export as an evidence pack, or stream to your SIEM. --- ## 06 / Ask Guard ### Ask the estate in plain language Ask who owns an agent, what changed, where spend is rising, or which approvals are expiring. Guard answers from role-appropriate evidence and links to the underlying record. --- ## Build with Forge. Govern everything with Guard. Forge-built systems arrive in Guard with ownership, versions, environments, and build evidence attached; external agents, coding assistants, models, and connections enter the same operating model. Together, Forge moves business intent into production while Guard enforces policy and preserves proof. --- ## Frequently asked questions ### Does Guard work with agents we did not build in Forge? Yes. Register agents directly or discover them through the gateway, telemetry, and A2A. Guard applies the same ownership, intake, policy, monitoring, and evidence model to built and bought systems. ### Does Guard only monitor agents? No. Guard combines observation with identity, policy checks, approvals, budgets, network boundaries, and revocation to control what an agent can do next. ### Can we use our own risk and approval process? Yes. Configure intake, risk rules, evaluations, review teams, approval stages, and exceptions. Each decision stays attached to the reviewed use case and version. ### Can Guard stop an agent? Yes. Revoke identity, pause execution, remove a connection, or block required model and tool paths. Guard applies the stop and records who acted, why, and what changed. ### What does Guard record? Guard records ownership, submissions, decisions, policies, evaluations, model and tool activity, cost, configuration, credentials, deployments, exceptions, and revocations, with request and response capture governed by your retention policy. ### Can we connect Guard to our existing security and reporting systems? Yes. Stream events to your SIEM, export evidence packs, or use Guard APIs to connect existing security, risk, compliance, and finance workflows. ### Do we have to adopt the whole platform at once? No. Start with registry and intake, runtime controls, cost management, or audit evidence. Each feature works independently while sharing the same identity, policy, and evidence model. --- ## Bring your AI estate under one accountable system Show us what your teams build, buy, and run. We will show you how Guard makes the estate accountable.