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For Engineering Leaders

Your developers aren't ignoring security. They're drowning in noise.

AI coding agents fire thousands of approval prompts a day. When every action looks the same, developers approve catastrophic operations on autopilot. Unbound separates signal from noise so developers stay in flow and security stays in control.

claude-code — terminal
Without Unbound
Every prompt looks the same
Allow
Every prompt looks identical. No context. No risk signal.
claude-code — unbound
With Unbound
Scanning...
Safe ops auto-approved. Only real risks surface.
1473meaningful alerts per day

Zero alert fatigue. Full compliance.

Developers stay in flow. Security stays in control.

How It Works

Governance that doesn't slow you down

Unbound gives engineering leaders full visibility into AI agent usage and risk — without adding friction to developer workflows.

20+

tools discovered

Full Agent Inventory

See every AI coding tool, MCP server, and plugin installed across your org. Know which teams use what, and where shadow agents are running.

99.7%

auto-approved safely

Risk-Scored Actions

Every agent action gets a risk score based on command type, target system, context, and agent autonomy level. Only high-risk actions surface for review.

4

enforcement modes

Policy Engine

Define granular policies: audit, warn, require approval, or block. Enforce by team, repo, environment, or risk threshold. No code changes needed.

<1ms

added latency

Gateway + Hooks

Lightweight hooks for Cursor, Claude Code, Copilot, and Cline. Central gateway for MCP traffic. Zero latency overhead — evaluation happens asynchronously.

The Difference

Without Unbound vs. with Unbound

Dimension
Without Unbound
With Unbound
Developer workflow
Constant approval prompts break flow
Safe ops auto-approved, only real risks surface
Alert volume
147+ prompts per session — every action looks the same
3 meaningful alerts per day — contextual, risk-scored
Rollout approach
Binary: allow everything or block everything
Graduated: audit → warn → approve → enforce
Agent visibility
No idea what tools/agents are installed across teams
Full inventory with risk scores and usage metrics
MCP governance
MCP servers connect to anything with no oversight
Every MCP connection assessed and policy-controlled
Security relationship
Security blocks tools, engineers route around controls
Shared dashboard — security sets policy, devs stay productive
Compliance evidence
No audit trail for agent actions
Complete audit log with decision reasoning for every action
Developer Insights

Understand how your team works with AI

Session-level analysis, use case mapping, and adoption metrics give engineering leaders unprecedented visibility into how AI agents are actually being used.

Project & Repo Usage

Which projects and repos use AI agents most, broken down by team and contributor.

Use Case Breakdown

Troubleshooting vs new code vs bug fixes vs refactoring — understand how AI is actually being used.

Session Analytics

Per-session prompt analysis, conversation flow mapping, and multi-turn conversation depth metrics.

Adoption & ROI

Track AI adoption rate by team, measure productivity impact, and justify tooling investments with real data.

Works with every major AI coding tool

Cursor
Claude Code
GitHub Copilot
Cline
Windsurf
Gemini CLI
Codex
Amazon Q

Plus Kiro, Augment, and any tool that runs in the terminal or connects via MCP.

Deployment

From zero to governed in 4 weeks

No big-bang rollout. Start with read-only discovery, graduate to enforcement at your own pace. Developers never lose access to their tools.

Week 1Read-only

Discovery

Install a lightweight scanner. Instantly see every AI tool, agent, MCP server, and plugin across your org. No code changes.

Week 2Audit mode

Assess

Review your risk posture: risky configurations, over-permissive agents, unvetted MCP servers. Get prioritized remediations.

Week 3Warn mode

Warn

Enable soft enforcement. Developers see contextual warnings on high-risk actions but can still proceed. Security gets full audit logs.

Week 4+Enforce mode

Enforce

Graduate to policy enforcement. Low-risk actions auto-approve. High-risk actions require approval. Critical actions are blocked.

Impact

The engineering case for governance

Governance isn't a tax on engineering — it's what lets you move faster.

3.2x

faster AI adoption

Teams with Unbound enable new AI tools 3.2x faster because security can approve with confidence.

97%

fewer interruptions

Risk-scored auto-approval means developers only see alerts that actually matter.

45 min

saved per dev/day

No more approval fatigue, no more context switches, no more waiting on security tickets.

100%

audit coverage

Every agent action logged with full context — no more blind spots in compliance audits.

Let your developers ship — safely

Full visibility in under 5 minutes. No code changes. No developer workflow disruption. Start with discovery, graduate to enforcement.