Runtime Governance For AI-Assisted Engineering
Govern AI-Assisted Engineering
Before It Reaches
Production.
Your employees, contractors, and AI agents already use Claude and Cursor on your repos. OpenSyber isolates the session, controls what each tool can do, and exports the evidence.
Create workspace
Scope branch access
Employee, contractor, or agent
Export evidence
Pilot path: one repo, one agent session, one blocked action. Start with an unmanaged-device contractor; expand across the team.
Live governed session
The moment buyers remember
Claude tries to run a production deploy. OpenSyber blocks the action, explains the matched policy, and prepares the audit export.
AI agent
Deploy production
OpenSyber
DENIED
Policy
Agent cannot mutate prod
Audit
Evidence generated
Evidence ready
Prompt, tool call, repo, policy decision, and export manifest linked in one chain.
Pilot scope
Setup path
Audit
Block, explain, export
Let me ask you something
YOUR AI AGENT IS USING CLAUDE RIGHT NOW
On your repo. With your secrets. Through a workflow security may not control. Existing security sees users and endpoints; it often misses the agent's tool calls and delegated actions.
Without OpenSyber
Operator + Claude + your repo + no action-level visibility.
With OpenSyber
Isolated workspace. MCP gateway. Policy on every tool call. Audit on every action.
Built for security review, not certification theater
Plain English
Control AI-assisted engineering without giving AI the keys.
OpenSyber is not VDI, PAM, or another scanner. It is the runtime control point between an AI agent and the systems it can change.
Lower AI action risk
Block prod deploys, credential abuse, and repo actions that fall outside the agreed scope.
Faster onboarding
Start with an external developer on an unmanaged device, then extend the same controls to employees and autonomous agents.
Fewer blind incidents
See the prompt, tool call, shell command, Git action, and policy decision in the same timeline.
Audit evidence
Export the denied action and its explanation as evidence for security, compliance, and customer review.
What you buy
A governed workspace for employees, contractors, and agents using Claude, Cursor, shell, GitHub, and cloud tools on your repos.
What it controls
Every governed MCP tool action goes through one policy chokepoint before it can touch configured code, secrets, infrastructure, or production resources.
How it is priced
Start with one governed workspace. Expand across external developers, internal teams, autonomous agents, and protected repos as usage grows.
Proof before logos
We will not fake customer logos. A design-partner pilot should produce evidence you can inspect.
The moat
THE TRUST GRAPH
OpenSyber links AI prompts, tool calls, shell activity, Git operations, and infrastructure changes into one explainable execution chain.
Questions it answers instantly
Which agents can access customer data?
Which tools use production credentials?
What is the blast radius if this agent is compromised?
What systems are affected when something breaks?
What happens after signup
CONNECT A REPO. RUN AN AGENT. WATCH A RISKY ACTION GET BLOCKED.
The first win is concrete: one repo, one governed agent session, one risky action denied with an evidence trail.
STEP 01
CONNECT ONE REPO
Pick the GitHub repo and branch the contractor is allowed to touch. Start narrow; expand only after the audit trail makes sense.
STEP 02
START A GOVERNED SESSION
An employee, contractor, or approved service runs AI tools inside a controlled workspace. Code and secrets stay inside the governed boundary.
STEP 03
BLOCK, EXPLAIN, EXPORT
When Claude asks for a risky action, OpenSyber denies it, explains the rule, and exports the prompt-to-action evidence.
opensyber invite contractor@example.comBuyer path
FROM DEMO TO GOVERNED AI ENGINEERING
The first value moment is a denied risky action plus an audit chain. The paid rollout adds identity, SIEM, evidence, and repeatable workspace policy.
For security buyers, the pilot output is concrete: an agent inventory, a Trust Graph baseline, starter policies, and exportable evidence mapped to your audit framework.
- AI agent inventory
- Baseline Trust Graph
- MCP policy set
- Compliance evidence export
Runtime governance
EVERY ACTION HAS A CHAIN
When an operator or autonomous agent asks Claude to apply Terraform in production, six things happen in order. The gateway sees them all. The audit log keeps them linked.
- Operatordevice-bound identity
- Claudeprompt + tool plan
- MCP gatewaypolicy check
- Reposcoped PAT
- Terraform applyprod target
- DENIEDpolicy: no prod apply
Same chain renders in the audit log. Same chain renders in the compliance export.
AI-ASSISTED ENGINEERING RUNTIME GOVERNANCE
An external developer, employee, or autonomous agent asks Claude for a prod Terraform deploy. Watch the gateway deny it, the chain explain why, and the audit row land.
Open the governed agent demoWhat you get
ONE WORKSPACE, FULL GOVERNANCE
ISOLATED BROWSER WORKSPACE
An employee, contractor, or approved service opens a hardened session. Claude, Cursor, MCP servers, and shell are governed in one place. Device-bound session keys via TokenForge.
- Browser isolation (Kasm)
- Device-bound operator identity
- AI tools and MCP pre-installed
MCP POLICY CHOKEPOINT
Every MCP tool call routes through the OpenSyber gateway. Allow, deny, redact, or step-up auth. Block prod Terraform, force PII redaction, scope GitHub to a single repo and branch.
- Per-workspace MCP allowlists
- GitHub policy bridge (scoped PATs)
- Step-up auth on high-risk tool calls
EXPLAINABLE AUDIT
Every prompt, MCP call, shell command, and GitHub action is linked into one trail. Reviewers see exactly what Claude did, what file it touched, what cluster it hit, and which policy approved it.
- Prompt-to-action linking
- Runtime telemetry (Falco / osquery)
- SOC 2 / ISO 27001 / HIPAA evidence export
Integrates with
WORKS WITH YOUR AI, IDENTITY, AND SOC STACK
OpenSyber sits between contractors, coding agents, MCP servers, source control, cloud, identity, and your SIEM. No rip-and-replace.
Integrations and connectors. Names are trademarks of their respective owners; listing does not imply endorsement.
The four outcomes
DISCOVER. GOVERN. PROTECT. AUDIT.
One workspace covers the full lifecycle of AI-assisted access to your repos and infra — from the first unknown agent to the last audited action.
DISCOVER
See every AI agent, MCP server, and shadow-AI tool touching your stack.
- Full AI agent inventory across teams and contractors
- MCP server and tool discovery
- Shadow-AI detection for unsanctioned assistants
Surface known and shadow AI assets across your connected workspaces
GOVERN
Decide what AI can do before it does it, not after.
- Policy engine as an MCP chokepoint
- Approval workflows for sensitive actions
- Per-agent permissions scoped to repos and infra
Block unauthorized AI actions before they run
PROTECT
Stop secret leaks, prompt injection, and poisoned MCP tools at runtime.
- Secret protection and prompt-injection detection
- MCP rug-pull and cross-session drift detection
- Supply-chain scanning with browser isolation
Catch MCP rug-pulls others miss — across days, not one session
AUDIT
Prove what every AI action did, mapped to repo and infra changes.
- Explainable audit trail for every agent action
- AI Act, SOC 2, and ISO 27001 evidence generation
- Compliance-ready exports on demand
Audit-ready evidence on every AI action
THIS ALREADY HAPPENED
These aren't hypotheticals. These attacks hit real organizations in 2025-2026. Most found out from the news. The ones with monitoring found out in milliseconds.
GOVERN THE AI YOUR ENGINEERING TEAM ALREADY USES
Employees, contractors, and autonomous agents are running Claude and Cursor against your repos right now. Put a policy gateway and an audit trail between them and production.
- IsolateBrowser-isolated workspace. Code, secrets, and MCP servers stay inside the governed boundary.
- GovernEvery Claude and Cursor tool call hits the MCP policy chokepoint: allow, step-up, or deny per action.
- AuditEvery AI action is linked to the repo or infra action it caused — one explainable, compliance-ready trail.
No managed laptop. No VPN. No sales call.