# CompFly AI — The Trust Control Plane for Autonomous Agents

> Deploy AI agents within boundaries you can prove. CompFly shifts validation left, enforces context-aware controls at runtime, and eliminates shadow agents.

## Hero

A four-rotation carousel; the tabs below drive it. Each rotation shares one layout: eyebrow, headline, supporting copy, and two CTAs.

### Rotation 1 — THE CONTROL PLANE FOR AGENT AUTHORITY

**Deploy AI agents. Within boundaries you can prove.**

CompFly gives every agent and task a versioned Autonomy Envelope, grounded in tested behavior and enterprise policy, then enforced across models, tools, data, memory, and delegation.

- See how it works → #shift-left
- Why We're Different? → /why-compfly#authority

### Rotation 2 — THE AGENT AUTHORITY GAP

**The agent has access. Should it act?**

Identity and access controls establish what an agent can reach. CompFly evaluates whether a specific action fits the current task, context, policy, and delegated authority before it executes.

- Explore Realtime Controls → /solutions/runtime-governance
- Why CompFly → /why-compfly

### Rotation 3 — AGENT-SPECIFIC EVIDENCE

**Golden Datasets. That evolve with your agent.**

Versioned Golden Datasets reflect each agent's real tasks, capabilities, tools, policies, and failure modes, so every release is tested against the authority it will exercise.

- Explore Golden Datasets → /solutions/agent-simulation
- Run a simulation → #shift-left

### Rotation 4 — BUILT FOR CONSEQUENTIAL SYSTEMS

**Built where autonomy has consequences.**

From autonomous systems and identity to security, ML, and cloud infrastructure, our team has built systems where software decisions carry real consequences.

- Meet the team → /about
- Join us → /careers

## Highlights

A row of four minimal tabs below the hero (a thin progress bar on top of each, a category label, and a title). The active tab's progress bar fills, then auto-advances, driving which rotation the hero shows above; clicking a tab jumps to it.

1. **Agent authority** — "Deploy AI agents within boundaries you can prove."
2. **The authority gap** — "The agent has access. Should it act?"
3. **Golden Datasets** — "Golden Datasets that evolve with your agent."
4. **Our team** — "Built where autonomy has consequences."

## Backed by

Backed by Security & Engineering Leaders from: Google, Cursor, Anthropic, Apple, Stanford, MIT, Wharton, Rivian, Tesla, Broadcom, Microsoft, Uber.

## The Path to Controlled Autonomy

Most enterprises are stuck choosing between safety and innovation. CompFly moves you to the **Target State** where reliability meets autonomy. (Axes: Reliability × Governance.)

- **Overconstrained Systems** — Low Risk • Low ROI. Highly restricted agents. Safe and predictable, but incapable of delivering meaningful business impact due to excessive red tape.
- **Controlled Autonomy (CompFly Target State)** — High ROI • High Reliability. Highly capable agents with instant kill-switch safeguards and enforced, auditable boundaries. Delivers reliable execution, measurable risk, and sustained business value.
- **Experimental Assistants** — Low Stakes • Low ROI. Early-stage pilots with limited constraints. Suitable for experimentation but too fragile for production environments.
- **Unbounded Autonomy** — High ROI Potential • Unacceptable Risk. Powerful agents operating without sufficient governance. Impressive in demos, but prone to catastrophic failure at scale.

## Continuous Agentic Simulation

Every finding can become a runtime control. Every production outcome can strengthen the next simulation. CompFly continuously revalidates each agent against its versioned Autonomy Envelope as the system changes.

- CTA: Explore Agent Simulation → /solutions/agent-simulation
- Pipeline: Commit → Eval → Deploy
- Example console output: Static analysis (0 vulnerabilities across 42 files), CompFly Red Team Evaluation (Eval Passed, Score 98/100), deploy to production via CompFly Gateway.

## Runtime — Context-Aware Controls

CompFly's Control Engine doesn't just match keywords. It understands intent, context, and privilege in real-time.

- **The "Helpful" Support Agent** — Social engineering & broken access control. CompFly detects `SOCIAL_ENGINEERING` and intercepts, requiring auth: "Security Protocol Enforced. Sensitive actions cannot be performed via unverified chat."
- **The Executive Assistant** — Indirect prompt injection over tool calls hidden in an email. CompFly detects `PROMPT_INJECTION` and blocks: "Malicious instruction set detected in incoming email. Message quarantined."
- **The Internal Data Analyst** — Context poisoning / scope creep leaking PII. CompFly detects `PII_LEAK` and sanitizes the output, redacting sensitive executive data.

Explore Runtime Governance → /solutions/runtime-governance

## Discovery — See Every Agent in Action

From coding agents like Claude Code and Codex to packaged enterprise agents and the ones your teams build, CompFly gives you one live view across every session. Trace identity, intent, models, tools, data access, actions, and policy decisions from request to outcome.

Two views sit side by side:

- **CompFly Agent Discovery** — every observed agent, filterable by All / Third-party / Homegrown. Third-party coding agents (Claude Code, 32 active sessions; Codex, 18 active sessions) and homegrown agents (Customer Support, Finance Analyst), each marked OBSERVED.
- **Live Session Trace** — a live trace for a selected session (Codex, session 8F42): identity (maya@company.com), intent (update retry logic), repository (payments-service), then the decision log — request received, repository read (ALLOWED), MCP server called (ALLOWED), prod secret requested (BLOCKED), pull request created (APPROVAL) — with full context captured, policy decisions linked, and session replay available.

Explore Observability → /solutions/observability

## Integrations — Connect Your Entire Ecosystem

CompFly control plane seamlessly embeds natively into **50+ platforms** to govern agents where they live.

- **Cloud & Data** (Infrastructure & Security): AWS, GCP, Azure, Databricks, Snowflake, IAM, ITSM, SIEM
- **Model Foundries** (Frontier Intelligence): OpenAI, Anthropic, Gemini, Mistral
- **Agent Framework** (Orchestration & Logic): LangChain, LlamaIndex, CrewAI, Autogen, n8n
- **Enterprise Systems** (Business Applications): Salesforce, M365, ServiceNow, Workday

Central node: **CompFly Control Plane** — ● LIVE SYNC ACTIVE.

## Verified by the industry

Operators who built the trust infrastructure of the last era are backing the layer the agentic era will run on.

> Identity has always been foundational for the cloud. In the next few years, **agent behavior governance** becomes foundational for AI. CompFly is building that foundation.
> — Jon Gelsey, Ex-CEO Auth0, Ex-CEO Xnor.ai

> Enterprises will deploy agents at scale when they can continuously verify their behavior. CompFly is building the runtime infrastructure layer that makes this verification practical.
> — Akansha Singh, Product & Data Leader, Stripe

> As agents move into core customer and operational workflows, trust can't be assumed, it must be proven. CompFly delivers the enterprise platform that embeds accountability and governance at scale.
> — Tushita Verma, Product Leader, Hyperscaler

Time to market: **3× faster deployment.**

## Governance — The Control Plane for Autonomous Agents

Discover the agents already running, enforce tool boundaries at runtime, and turn autonomous decisions into durable evidence for security and compliance.

- **Discovery-first inventory** — surface every agent, sanctioned or shadow.
- **Runtime policy enforcement** — permit, block, or escalate before execution.
- **Audit-ready evidence** — every decision recorded in the TrustLedger.
- **Agent simulation** — red-team behavior before it ships.

CTA: **Start Governing** → /book-demo · **Explore the platform** → /solutions/observability

## Contact

- Book a demo: https://compfly.ai/book-demo
- Email: assist@compfly.ai