The agent doesn't just find the bug — it opens the fix
Most security tools stop at the hard part. They scan your app, hand you a list of problems (or a prompt to paste back into your AI builder), and wish you luck. If you're not a security engineer, that list is where things stall. Opviva is a security agent you talk to: it proves the exploit is real, writes the fix, and opens it as a pull request. Small, safe fixes auto-merge. Everything else waits for your one-click approval.
Free · no signup · we never store your source code
- We prove vulnerabilities by reproducing them — not guesses
- Tamper-evident record of what your AI agents do
- We never store your source code
Finding isn't fixing
A scan that ends in a report assumes you can read it, understand the risk, write the fix correctly, and not break anything. For a founder who shipped with Lovable, Bolt, or v0, that's a big assumption — and a real exposed Supabase key or public .env can't wait for you to learn application security.
Talk to the agent instead. Tell it what you shipped, or point it at your live URL, and it takes the finding all the way to a fix — not a list you have to act on yourself.
How the agent opens the fix
Connect GitHub and the agent reasons about your code, then opens a pull request that fixes the issue: moving a secret server-side, adding Row-Level Security, setting security headers, or locking down an endpoint. The fix is written to match your codebase's patterns, and the PR explains what changed and why.
Small, low-risk fixes can auto-merge — the kind of change that's mechanical and safe by construction. Anything higher-risk opens as a PR and waits for your one-click approval. Nothing is merged behind your back, and a separate model reviews every fix before it's proposed, so a fix is never self-approved.
Security doesn't stop at launch
Your app keeps changing — new features, new dependencies, new endpoints — and each change can open a new hole. A one-time scan goes stale the moment you ship again.
The agent keeps watching: it re-checks on every change, watches for newly disclosed dependency vulnerabilities, checks uptime, and comes back the moment something new appears — then opens the fix. That's the difference between a checkup and actual maintenance.
It proves the exploit before it touches anything
Before the agent opens a fix, it proves the vulnerability is real — reproducing the exploit rather than guessing — and a separate skeptical model challenges the finding to cut false positives. Every step is recorded on a tamper-evident Evidence Canvas, so you see the impact, the confidence level, and exactly what the PR fixes — not a wall of noise.
FAQ
Can an AI agent automatically fix security vulnerabilities?
Yes — for many common issues. Opviva's agent reasons about your code and opens a pull request that fixes the vulnerability (moving secrets server-side, adding Row-Level Security, setting headers). Small, safe fixes can auto-merge; anything higher-risk waits for your one-click approval before it merges.
What is post-deployment security?
It's keeping an app secure after it's live, not just before launch. Opviva's agent scans continuously as the app changes, watches for newly disclosed dependency vulnerabilities, monitors uptime, and opens the fix as a pull request the moment a new issue appears.
How do I keep my vibe-coded app secure after launch?
Talk to Opviva: run a free scan, connect GitHub so the agent can open fixes as pull requests, and leave continuous monitoring on. As you ship new features, the agent re-checks and closes new gaps automatically.
Does Opviva just find issues or actually fix them?
Both, and it's agent-driven end to end. The free scan proves which issues are real; on a paid plan the agent opens the fix as a pull request — small/safe fixes auto-merge, the rest wait for your one-click approval — and keeps watching after launch.