Opviva
Opviva is an AI security agent purpose-built for AI-generated applications. Instead of producing passive vulnerability lists, it actively scans live apps and source code, reproduces each exploit to prove it is real, and generates a fix that it opens as a pull request for one-click approval. The agent communicates in plain language, requiring no scanner configuration or dashboard learning. It offers both a URL-only shallow scan for immediate surface issues and a repository-connected deep scan for code, dependencies, and secrets, with a free daily code scan available. Opviva distinguishes itself by eliminating false positives through exploit reproduction, then continuously monitors the application and attack surface post-launch, alerting on new risks. A unique Evidence Canvas records agent actions as a tamper-evident, hash-chained log for forensic auditing. Designed for privacy, it never stores source code and defaults to read-only GitHub access.
- Category
- Apis
- Pricing
- Paid
Problem solved
AI-generated applications often ship with critical security vulnerabilities that developers lack the time or expertise to find and fix. Opviva automates the end-to-end security workflow—detection, verification, remediation, and monitoring—so developers can secure vibe-coded and AI-built apps without manual triage, false positives, or security deep-dives.
Use cases
- Automatically scanning and fixing exposed secrets and misconfigurations in AI-built web apps
- Continuous security monitoring of live applications launched from rapid prototyping tools
- Reproducing and confirming exploits before generating pull requests with fixes
- Forensic tracing of AI agent actions to detect unauthorized behavior via the Evidence Canvas
- Pre-launch security grading of code by connecting a repository without a live domain
- Reducing false positive overhead by verifying every vulnerability before reporting
Audience
- Developers
- ML Engineers
- Startups
- Enterprise
Pros
- Proves each exploit is real by reproduction, eliminating false positives
- Automates fix generation and opens pull requests for one-click approval
- Continuous 24/7 monitoring after initial scan
- Plain language interaction requires no complex configuration
- Privacy-preserving: never stores source code, read-only GitHub access
Cons
- Paid service with limited free scans (1 daily code scan, shallow URL scan free)
- Deep scanning requires repository access, which may raise trust concerns
- Likely limited to web applications accessible via URL or common repositories
- Fix quality may vary depending on AI model performance
- No dedicated self-hosted or on-premises deployment option
Official website: https://opviva.com/
Canonical LambdaBase page: https://www.lambdabase.com/tools/opviva