Your board will ask about AI agent risk.
Have the answer ready.
Your developers adopted Cursor, Claude Code, and Copilot overnight. These agents run terminal commands, connect to MCP servers, access production data, and act with developer credentials. You need visibility, policy, and evidence — now.
Visibility
See every AI agent, MCP server, tool configuration, and risky setting across your entire engineering org.
Control
Enforce granular policy — audit, warn, approve, or block — across every agent action and MCP connection.
Evidence
Complete audit trail of every agent action. Export to Splunk, Datadog, or your SIEM. Board-ready compliance reporting.
AI coding agents created 6 new attack surfaces
your stack doesn't cover
Your CASB, EDR, IAM, and DLP tools were built for humans accessing SaaS apps. Here's what they miss.
AI Coding Agent
Unmonitored · Full Permissions
rm -rf /, git push --force, DB queries with full dev permissions
Unsanctioned connections to Slack, databases, cloud APIs
Secrets, PII, and source code flowing to unvetted servers
Agents inherit SSH keys, API tokens, and cloud IAM roles
Permissive settings let agents act faster than reviewers can react
Multiple agents and configs with no central inventory
Your security stack was built for a world before AI agents
Every tool in your stack still matters. None of them were designed for the live agent governance problem.
These tools remain essential. But a new control layer is needed — one built specifically for what AI coding agents can see, touch, and do. That layer is the Agent Access Security Broker.
Purpose-built governance for AI coding agents
Four capabilities that give security teams the visibility, policy, and evidence they need.
See everything in one inventory
Scan your entire engineering org and get a complete inventory of every AI coding agent, MCP server, sub-agent, extension, and risky configuration. Know what's installed, who's using it, what permissions it has, and how it's configured.
- Detect Cursor, Claude Code, Copilot, Cline, Windsurf, Roo Code, and 20+ tools
- Enumerate every MCP server and its connection targets
- Surface auto-approve settings, risky agent rules, and over-permissive configs
- Track installation drift and shadow AI sprawl over time
Agent Inventory
Last scan: 2 min ago
412
total agents
Risk Posture Overview
Org Score
8
High Risk
24
Medium
380
Low Risk
Top Risk Factors
Score every developer's agent risk posture
Assign risk scores per developer, per team, and org-wide. Surface the highest-risk configurations before they become incidents. Benchmark against peer organizations.
- Per-developer security posture scores (0-100)
- Risk factors: auto-approve, MCP connections, permission levels, agent rules
- Team-level rollup dashboards for security leadership
- Trend tracking and drift alerts over time
Enforce policy without touching developer workflows
Define granular policies over terminal commands, MCP server connections, file access, and data handling. Apply audit-first, then progressively tighten to warn, approve, or block.
- Semantic command parsing — understands intent beyond string matching
- MCP server connection and action-level policies
- Human-in-the-loop approval workflows for sensitive operations
- Progressive enforcement: audit → warn → approve → block
Active Policies
12 rulesDestructive terminal commands
rm -rf, DROP TABLE, --force
MCP server connections
New/unsanctioned servers
Secrets in output
API keys, tokens, .env files
Read-only file operations
cat, head, grep, find
Git read operations
status, diff, log, branch
Audit Log
Complete audit trail, export-ready
Every agent action is logged with full context: who, what, when, which tool, what policy applied, and what the verdict was. Export to Splunk, Datadog, or any SIEM. Generate board-ready compliance reports.
- Full session-level audit logs with user, agent, command, and verdict
- SIEM integration: Splunk, Datadog, Elastic, and webhook export
- Compliance evidence for SOC 2, ISO 27001, and regulatory audits
- Board-ready executive risk reports with trend data
Three questions every CISO will face about AI agents
“How many AI coding agents are running in our environment?”
Without Unbound, the honest answer is ‘we don’t know.’ Unbound’s discovery scan gives you a complete inventory in under 5 minutes — every agent, every MCP server, every risky configuration.
“What can these agents access, and who approved it?”
Agents inherit developer credentials — SSH keys, API tokens, cloud IAM roles. They connect to MCP servers that reach databases, internal APIs, and cloud infrastructure. Unbound gives you a complete map of what every agent can reach.
“What happens if an agent does something destructive?”
With Unbound, you have a full audit trail of every action, every verdict, and every policy that was applied. You can prove what was blocked, what was approved, and why. Without it, you’re reconstructing from process logs after the fact.
< 5 min
From deploy to complete agent inventory
1M+
Agent actions evaluated monthly in production
0
Lines of source code that leave your environment
30-day
Audit log retention (90-day+ for enterprise)
Built for enterprise security requirements
Compliance
SIEM Integrations
Deployment
“Unbound empowers THG Ingenuity teams to securely leverage frontier AI models within enterprise-grade controls. Its seamless open-source tool integrations streamlined developer onboarding, accelerating adoption of the latest advancements.”
Abraham Ingersoll
CISO, THG Ingenuity
“Unbound enables Exterro to uphold top-tier data security and global compliance standards while securely adopting AI. Teams consistently praise the intuitive platform that meets enterprise protocols and accelerates innovation.”
Anthony D
CISO, Exterro
Backed by Y Combinator (W24)See your AI agent risk surface in under 5 minutes
No code changes. No developer disruption. Full agent inventory and risk posture scoring from day one.