Use case

Govern local AI coding agents before repo access becomes uncontrolled risk.

Enable local AI coding agents with governance for repo access, secrets, terminal actions, generated code, dependencies, infrastructure edits, and reviewable evidence.

Why this matters

Developer AI Agent Governance is a business and security problem, not just a tooling category.

The problem

AI coding agents can accelerate refactors and architecture work, but local execution gives them proximity to source code, credentials, infrastructure templates, customer data snapshots, and terminal actions.

Why teams act now

Without runtime governance, engineering teams either slow AI coding adoption or accept opaque agent behavior around the most sensitive parts of the software delivery environment.

AI enablement journey

From employee productivity to governed AI operations.

This journey shows where useful AI work becomes unmanaged data movement, and how Tutela turns that moment into policy-backed enablement.

Employee productivity goal

An engineer wants to run Codex-style agents locally to understand architecture, refactor code, execute commands, and update infrastructure templates faster.

Uncontrolled risk

Local agents may read `.env` files, AWS credentials, SSH keys, customer samples, production configs, and proprietary source before security can see or constrain the session.

Governance moment

Agentic Security governs file, prompt, terminal, and tool-call context while Exposure Validation helps teams prove which source, secret, dependency, or infrastructure risks deserve action.

Tutela product fit

Agentic Security fits the local agent workflow; Exposure Validation supports proof and prioritization when generated changes, dependency suggestions, or infrastructure edits create security questions.

Safe operating outcome

Developers keep using AI for large code work while secrets, production configs, customer data snapshots, unsafe commands, and risky suggestions are governed in the flow.

Proof created

Security can review what the agent read, what commands or tools were invoked, what files changed, which policy fired, and which findings were validated.

What teams need to know

The questions teams need answered before they choose a path.

Engineering, AppSec, platform, and security teams enabling local AI coding agents without exposing source, secrets, or infrastructure control.

Which repos, files, commands, and local secrets can an AI coding agent reach?

Which generated code, dependency, or infrastructure suggestions need policy review?

How should unsafe terminal actions or sensitive file reads be blocked, warned, or escalated?

What agent activity evidence does AppSec need before expanding AI coding adoption?

How Tutela helps

Bring the right data, AI, and deployment context into the conversation.

Tutela should help teams replace generic tooling talk with a clearer understanding of where risk exists, which controls matter, and what is worth evaluating next.

Map what the agent can touch

Review files, repos, local credentials, terminal permissions, tool calls, and infrastructure paths before broad developer rollout.

Govern actions in the flow

Apply policy to sensitive file reads, unsafe commands, generated code paths, and infrastructure changes while the engineering work is happening.

Validate the risks that matter

Use exposure context to separate real security impact from ordinary coding noise when AI suggests changes or uncovers findings.

What good looks like

Give buyers a sharper story than "we need another security tool."

The best public solution pages connect the operational problem, the business risk, the product fit, and the next best educational asset without dragging buyers through internal review mechanics.

Control agent access to code, commands, files, and secrets

Validate risky generated changes before they become production exposure

Give AppSec a trace of local agent activity

Best fit products

Relevant Tutela products.

Tutela Agentic Security

Tutela Agentic Security helps organizations prevent sensitive data from leaking into AI workflows.

View product

Tutela Exposure Validation

Tutela Exposure Validation helps security teams prove which exposure findings are real, prioritize what matters, and automate remediation when fixes are ready.

View product
Related resources

Go deeper with the next best resource.

Brief

Agentic Security Architecture Brief

Architecture review brief for customer-owned Agentic Security deployment, workflow surfaces, identity, and audit boundaries.

Open the brief
Brief

Exposure Validation Private Preview Brief

Private-preview brief for teams reviewing how Tutela Exposure Validation turns findings into validated exposure evidence, remediation ownership, controlled automation, and board-ready reporting.

Open the brief