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For Security Teams

Your board will ask about AI coding agent risk. With Unbound you'll have the answers ready.

Your developers adopted Cursor, Claude Code, and Copilot overnight. You need visibility, policy control, and compliance evidence... like right 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.

The Threat Surface

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.

Terminal Command Execution

rm -rf /, git push --force, DB queries with full dev permissions

MCP Server Sprawl

Unsanctioned connections to Slack, databases, cloud APIs

Data Exfiltration

Secrets, PII, and source code flowing to unvetted servers

Credential Inheritance

Agents inherit SSH keys, API tokens, and cloud IAM roles

Auto-approve Drift

Permissive settings let agents act faster than reviewers can react

Shadow AI Sprawl

Multiple agents and configs with no central inventory

The Gap

Your security stack was built for a world before AI coding agents

Every tool in your stack still matters. None of them were designed for the live agent governance problem.

CASB / DLP

Does well

Governs SaaS access and data movement

Misses

Doesn’t see IDE/CLI workflows, MCP server connections, or terminal commands

IAM / PAM

Does well

Controls identities and privileged access

Misses

Doesn’t understand agent autonomy, MCP servers, or in-session agent intent

EDR / Endpoint

Does well

Sees process activity on devices

Misses

Can’t explain agent intent, evaluate risk context, or enforce session policy

AppSec / SAST

Does well

Finds vulnerabilities in code artifacts

Misses

Doesn’t govern live terminal commands, MCP invocations, or permission drift

AI Gateway

Does well

Routes and secures model API traffic

Misses

Misses IDE posture, terminal behavior, MCP actions, and agent configuration states

These tools remain essential. But a new control layer is needed built specifically for what AI coding agents can see, touch, and do. That layer is the Agent Access Security Broker.

The Solution

Purpose-built governance for AI coding agents

Four capabilities that give security teams the visibility, policy, and evidence they need.

Discover

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

Cursor187 users
Claude Code124 users
GitHub Copilot68 users
Cline22 users
Windsurf11 users
34MCP Servers
12 at risk
64%Auto-approve
8 unsanctioned

Risk Posture Overview

Org Score

62/100
Moderate Risk

8

High Risk

24

Medium

380

Low Risk

Top Risk Factors

Auto-approve enabled64%
Unsanctioned MCP servers23%
Broad write permissions18%
Assess

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

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 rules
BLOCK

Destructive terminal commands

rm -rf, DROP TABLE, --force

REVIEW

MCP server connections

New/unsanctioned servers

REVIEW

Secrets in output

API keys, tokens, .env files

ALLOW

Read-only file operations

cat, head, grep, find

ALLOW

Git read operations

status, diff, log, branch

Audit Log

14:23:08Claude Codecat ~/.ssh/id_rsa
BLOCKED
User: jsmithRisk:95
14:23:06Cursorgit diff HEAD~3
ALLOWED
User: aleeRisk:3
14:23:04ClineMCP/slack: post #eng
REVIEWED
User: mchenRisk:55
14:23:02Claude Codenpm install lodash
ALLOWED
User: jsmithRisk:12
Evidence

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
Board Readiness

Three questions every CISO will face about coding agents

1

“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.

2

“What can these agents access, and who approved it?”

Coding agents inherit developer credentials including 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.

3

“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

30-day

Audit log retention (90-day+ for enterprise)

Enterprise Ready

Built for enterprise security requirements

Compliance

SOC 2 Type IISOC 2 Type II Compliant
Available on AWS Marketplace

SIEM Integrations

Export to:SplunkDatadogDatadogElasticWebhooksRBAC + SSO (SAML/OIDC) + SCIM

Deployment

Deploy via MDM:JamfMicrosoftIntuneJumpCloudKandjiKandjiFull visibility in under a week
Trusted by CISOs

“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.”

AD

Anthony D

CISO, Exterro

Y CombinatorBacked by Y Combinator (S24)

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.

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