Plain-language entry
Opviva can take a plain-language description of what you shipped or a pasted URL, then inspect the live app and code without requiring a dashboard setup.
Opviva
Opviva is an AI security agent for AI-built apps and live web products. It scans live apps and code, reproduces confirmed vulnerabilities, opens fixes as pull requests, and keeps monitoring after launch.
AI security agent for live apps and code
Opviva is an AI security agent for AI-built apps and live web products. You describe what you shipped in plain language or paste a URL, and the agent scans the app and code, reproduces confirmed vulnerabilities, opens a fix as a pull request, and keeps watching after launch.
The product is built around a scan → prove → fix → monitor workflow. Its source pages emphasize that it verifies exploits instead of surfacing guesses, keeps source code from being stored, and records findings on a tamper-evident Evidence Canvas that can be reconstructed and exported for review.
Core capabilities
Reproduced vulnerability proof
When it finds an issue, the agent reproduces the exploit rather than reporting a theoretical problem, so the result is a confirmed finding with evidence behind it.
Fixes opened as pull requests
The agent writes the remediation and opens a pull request for review. The site says small fixes can auto-merge, while riskier changes wait for one-click approval.
Ongoing monitoring
After launch, Opviva continues to monitor the app and attack surface, re-scanning on a schedule and returning when something new appears.
Evidence Canvas logging
Findings are recorded on a tamper-evident, hash-chained Evidence Canvas so the exploit trail can be reconstructed and audited later.
Audit export and SDK support
The site says the record can be exported as a signed evidence bundle or auditor-ready PDF, and the Flight Recorder is available in TypeScript or Python.
Common ways teams use Opviva
Post-launch security check
For teams shipping AI-built apps quickly, Opviva can be used right after launch to check for exposed secrets, weak headers, and other issues common in rapid builds.
Confirmed finding review
For teams that want proof before remediation, the agent reproduces a finding and records the session so security or engineering can review the evidence before acting.
PR-based remediation workflow
For teams that prefer to ship fixes through code review, Opviva opens a pull request with the remediation so developers can approve or adjust it before merging.
Ongoing monitoring after release
For teams that need continuing oversight, the monitoring plans re-scan on a schedule and alert when regressions or new issues appear.
Audit and evidence capture
For compliance, audit, or internal investigation work, the Evidence Canvas and exportable evidence bundle provide a record of what the agent did and what it confirmed.
Pros and Cons
Pros
- Confirms vulnerabilities by reproducing them rather than only listing possible issues.
- Can open fixes as pull requests, reducing the manual work of turning findings into changes.
- Keeps monitoring after the first scan, instead of stopping at a one-time report.
- Does not store source code according to the site, and access is read-only or least-privilege by default.
- Provides an Evidence Canvas and exportable records for audit or review.
Cons
- The public pages give limited detail on supported integrations beyond GitHub access and the TypeScript/Python recorder.
- The pricing and feature pages describe scan, fix, and monitoring credits, but the exact fit for very large or unusual environments is not fully spelled out.
- Automated fixes are reviewed before merge, and risky changes still require approval, so it is not a fully hands-off deploy-anything system.
FAQ
What does Opviva do?
Opviva is an AI security agent for AI-built apps. You can describe what you shipped in plain language or paste a URL, and it scans the live app and code, reproduces confirmed vulnerabilities, opens fixes as pull requests, and keeps watching after launch.
Is there a free option?
The source says the free scan is available with no card required. Paid plans add continuous monitoring and the ability to have the agent open fixes on your behalf.
Does Opviva store my source code?
No. The site says scans run and the code is dropped, and that Opviva does not store your source code. GitHub access is least-privilege, and you review any fix before it merges.
Can it keep monitoring after the initial scan?
Yes. The pricing page says Starter includes weekly automated re-scans and alerts, Growth includes daily re-scans and agent-opened fix PRs, and Scale adds priority queue handling and incident response.
Do I need to be technical to use it?
The site says you can talk to the agent in plain language, paste your app URL, and stay in control while it does the security work. It also says risky fixes wait for your one-click approval.
Quick Facts
- Category
- AI security agent
- Primary workflow
- Scan live app and code → prove exploit → open fix PR → keep monitoring
- Source domain
- opviva.com
- Free tier
- Free scan with no card required
- Paid plans
- Starter, Growth, and Scale
- Recorder support
- TypeScript and Python
Opviva Alternatives
ByteAsk
ByteAsk is a terminal-first AI coding agent for C and C++ that edits repos and verifies changes with compilers, debuggers, sanitizers, and tests.
Manta AI
Manta AI is an autonomous web app testing tool that maps app behavior, catches regressions, and generates tests from a URL, no scripts or selectors needed.
CreateOS Sandbox
CreateOS Sandbox is an isolated compute environment for running code and agent workloads in Firecracker micro-VMs with private networking and SDK, CLI, or MCP control.
hob
hob is an independent workspace for coding agents, with local control over sessions, terminals, history, routing, and follow-up work.
ClawTick
ClawTick is an AI agent automation platform for scheduling jobs from the CLI, dashboard, or REST API. Built for developers and teams using LangChain, CrewAI, webhooks, or custom workflows with monitoring, alerts, and logs.
Redline
Redline is a budgeting tool for Claude Code that paces sessions by time, tokens, cost, or plan percentage, helping them end with a usable result.