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.
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.
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 Data Security helps identify source-adjacent secrets, customer samples, and sensitive data that should influence policy.
Tutela product fit
Agentic Security fits the local agent workflow; Data Security supplies sensitive-data context so generated changes, dependency suggestions, or infrastructure edits can be reviewed against real data risk.
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.
Prioritize the risks that matter
Use sensitive-data and access context to separate real security impact from ordinary coding noise when AI suggests changes or touches protected files.
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
Govern risky generated changes before they become production risk
Give AppSec a trace of local agent activity
Best fit products
Relevant Tutela products.
Tutela Agentic Security
Tutela Agentic Security gives security teams visibility and policy control over prompts, files, outputs, tool calls, usage signals, and autonomous actions before sensitive data moves.
View productTutela Data Security
Tutela Data Security helps organizations find sensitive data, understand who can access it, and prepare the right protection decisions first.
View productRelated resources
Go deeper with the next best resource.
Agentic Security Architecture Brief
Architecture review brief for customer-owned Agentic Security deployment, workflow surfaces, identity, and audit boundaries.
Open the briefData Security Architecture Brief
Customer-owned architecture notes for Data Security discovery, classification, access graph, risk scoring, and control planning.
Open the brief