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Oconee Runtime
Summary
Coding agents are already pushing source code to Claude, running commands against your repos, and invoking external tools — and most engineering organizations have no record of any of it. Oconee Runtime exists to close that gap before an incident forces the conversation.
The vendor describes a governance layer that sits across browser AI tools (ChatGPT, Claude, Copilot), IDE integrations (VS Code, Cursor), and coding agents, monitoring prompts, detecting sensitive data, and applying allow/warn/block policies before risky actions leave the organization. Installation is an extension or IDE integration — no workflow restructuring required, according to the docs. The audit trail covers session timelines, policy violations, command detections, and repo sensitivity flags, with Slack alerts surfacing enforcement events to admins. Where the ceiling appears: the platform is not self-hosted, which puts it out of reach for air-gapped environments or regulated teams whose compliance posture prohibits SaaS-only tooling. Teams in that position typically build internal proxy layers or evaluate on-premise alternatives.
Bottom line: Pick this when your engineering org is already running coding agents and has zero visibility into what they're touching — skip it when your compliance posture requires data to never leave your own infrastructure.
Pricing Plans
Subscription- Free Tier
- Free scanner and readiness assessment; no account required for basic checks
Starter
Visibility
- Prompt visibility
- Sensitive data detection
- AI activity logging
Growth
Control
- Allow/warn/block policies
- Policy management
- Tool governance
Growth+
Engineering Enforcement
- Command enforcement
- File mutation controls
- Credential blocking
Enterprise
Governance
- Full enforcement
- LLM egress gateway
- Claude Code hook enforcement
View full pricing on oconeeruntime.com →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Cross-surface coverage across ChatGPT, Claude, GitHub Copilot, Cursor, Claude Code, and VS Code in a single policy plane, so a credential accidentally pasted into a browser chat triggers the same enforcement as one submitted through a coding agent.
- Allow/warn/block policy controls applied without requiring engineering workflow changes, which means adoption doesn't stall waiting for teams to change how they work.
- Session-level audit trail with command detection, repo sensitivity flags, and policy violation logs, so compliance teams have evidence that governance controls were active — not just configured.
- Free open-source CLI scanner (oconee-scan on GitHub) lets a developer audit a repo's coding-agent configuration, MCP access, and sensitive resource exposure before committing to the paid platform.
- Slack alert integration surfaces enforcement events to admins in real time, so a blocked high-risk action doesn't sit in a dashboard nobody opens.
Cons
Sign in to edit- No self-hosted deployment option is listed in the docs or vendor pages — the runtime is SaaS-only. Engineering teams operating in air-gapped environments or under compliance frameworks that prohibit third-party data ingestion hit this wall immediately and cannot proceed without a fundamentally different architecture.
- No API is available, so teams that want to pipe governance events into an existing SIEM, data lake, or internal alerting pipeline have no documented path to do so — they work within the platform's own audit interface or lose the data entirely.
- The platform is purpose-built for the AI action lifecycle and does not function as a general secrets scanner, SAST tool, or access control layer. Teams that need consolidated security tooling across those categories evaluate dedicated alternatives and treat Oconee Runtime as an additional point solution — which means maintaining a separate governance dashboard alongside whatever security stack already exists.
About
- Platforms
- Browser, VS Code, Cursor, GitHub Copilot, Claude Code
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-09-08T21:49:58.807Z
Best For
Who it's for
- Security-conscious engineering organizations
- SaaS companies and AI startups
- Platform engineering and security teams
- Regulated or compliance-focused enterprises
What it does well
- Monitor AI usage across browser tools and coding agents
- Enforce policies on sensitive data and high-risk actions
- Maintain audit trails for compliance in AI-assisted development
- Control coding agent interactions with repositories and tools
Integrations
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Sign Up to ContributeFrequently Asked Questions
- Is Oconee Runtime free?
- Oconee Runtime has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is Oconee Runtime open source?
- No — Oconee Runtime is a closed-source tool. Source code is not publicly available.
- What platforms does Oconee Runtime support?
- Oconee Runtime is available on: Browser, VS Code, Cursor, GitHub Copilot, Claude Code.
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Most engineering organizations discover their AI governance gap the same way: retrospectively. Oconee Runtime is a governance platform that monitors and enforces AI usage policies across the surfaces where engineers actually work — browser-based AI tools, IDE integrations, and coding agents executing against repositories and external tools. The core workflow is three steps: install an extension or IDE plugin, configure organization-wide policies, then watch the activity feed. Policies apply at the action level — credential blocking, file mutation controls, command enforcement — so detections trigger before sensitive data moves, not after.