Governance for AI agents

Every agent action, on the record.

What your AI agents read, run and change, starting with Claude Code and Codex across every developer, and who wrote each line.

  • Encrypted in transit and at rest
  • Known secrets never stored
  • Zero-effort install

Agents write a real share of your code. Can you answer these?

  • Did an agent read your API keys?

    Secrets are flagged before they reach the model, and protected files are blocked on the developer’s machine.

  • How much of your code did AI write?

    Line-level attribution for every commit.

  • Which files did agents touch?

    Every read, edit and command, by developer.

  • What were they told to do?

    The prompt behind every session.

From prompt to commit, on the record.

Observe

See every action, by every agent.

A live feed of every turn: what each agent read, ran and changed, with session replay and per-repo and per-file history. Denied calls, failed tests, risky commands, new MCP servers and flagged results surface on their own.

Explore Observe →
Govern

Stop what shouldn’t happen, before it does.

Rules that alert or block: deny a command, protect a path, catch secrets or personal data before they reach the model, allow only approved MCP servers. Blocks happen on the developer’s machine, in Claude Code and Codex.

Rules reference →
Prove

Prove who wrote what, line by line.

For every commit, the share written by AI, by AI then edited, by people, or carried over, by developer, repo and model. Export it to CSV for the people who ask.

Explore Prove →
Indicators

Catch the instructions hiding in what your agents read.

Every result a tool hands back to an agent is checked for text that tries to instruct it, from a fetched page to a command’s output. SightLine flags it by category and keeps only the category, never the text.

See what’s recorded →

Everything your agents do passes through one line.

SightLine sits between your developers’ agents and your record. Activity goes in, risky actions stop at the line, and a clean, attributed record comes out the other side.

In

Every agent, every laptop

Claude Code and Codex sessions across your team. Omega sets up capture once, for the whole team.

The line

Recorded and checked

Each action is recorded, and your rules block what shouldn’t happen, right on the developer’s machine.

Out

One clean record

The feed, alerts and line-by-line attribution, from the first session.

Built for the people who ask.

An audit trail your auditors can use.

Every agent action is recorded and every view of someone else’s stored content is logged. Rule changes are kept with who changed what, and when.

Rules & compliance →

Know what AI is doing in your engineering org.

Adoption, sessions and the AI share of every commit, by developer, repo and model.

See the product →

See the code, files and commands agents touch.

A live feed, session replay and per-file history, plus rules that block on the developer’s machine.

Rules reference →

Built for the org.

  • Team setup

    Push one setup to every developer.

    • Shared skills
    • Slash commands
    • CLAUDE.md baseline
    v13 · published
  • Your company’s SSO

    Sign in with your company’s single sign-on. No separate passwords.

  • Org-wide rules

    Set a rule once. It applies to every developer.

    • Protected pathsOn
    • Secrets sent to the modelOn
  • Audit trail

    Every view of someone else’s stored content is logged.

    • admin@ opened dana’s prompt · 14:06
    • Rule changed: Protected paths · 13:51
  • Adoption and rollback

    See who’s on the latest setup. Roll back in one click.

    24 of 24 machines currentRoll back to v12
  • Claude Code + Codex

    One record across both agents.

    Claude CodeCodex
Deployment options
Hosted by OmegaFor growing teamsIn your cloudFor large and regulated organizations
Single-tenantYesYes
Behind your SSOYesYes
Where records liveAn instance Omega runsYour infrastructure, in any cloud environment you run
Who operates itOmegaOmega, in your account
Learn more →

We keep receipts. Not your secrets.

What SightLine records

  • Prompts developers send to their agents
  • The text of agent edits
  • Commands and tool calls
  • A short excerpt of each tool result
  • Token counts
  • File names and commit details (author, message subject, who wrote each line)
Read the security overview →

Your auditor’s favorite tab.

Evidence for your SOC 2 and ISO 27001 audits: SightLine records what auditors ask about when AI agents touch production code, from who changed what to who saw what and which controls were in force.

  • SOC 2 CC8 · ISO 27001

    Change management

    Which agent changed which files, line-level authorship on every commit, and each rule change with before and after values.

  • SOC 2 CC6 · ISO 27001

    Logical access

    Admin and developer roles, sign-in through your SSO, and every view of someone else’s stored content with who, whose and when.

  • SOC 2 CC7 · ISO 27001

    System monitoring

    Blocked actions, alerts with first and last seen and resolution, and secret and personal-data detection.

  • Policy

    Policy in force

    Whether each machine’s rules are current, the rules version, and the team setup’s version history.

SightLine isn’t itself SOC 2 or ISO 27001 certified. It produces evidence for your audit, exportable as CSV or JSON.

See the full evidence map →

Not just for engineering.

Any AI agent your company runs, from support bots to research agents to internal tools, can run through SightLine and get the same record of every action, the same rules and the same audit trail.

  • Support bots
  • Research agents
  • Internal tools
  • Coding agents
Talk to us about your agents →
Omega Business Solutions

Built by Omega.

Omega Business Solutions is an AI implementation firm in Knoxville, Tennessee. We built SightLine because we put AI agents to work for our clients and needed to account for every action they take.

Visit Omega →

See your agents clearly.

A 30-minute demo. We’ll show SightLine running on a real codebase.

Book a Demo