← Directory

Opviva

Paid
★ 1 • Updated Jul 19, 2026, 03:13 PM

Opviva is an AI security agent purpose-built for AI-generated applications.

Use Cases ▼
01

Automatically scanning and fixing exposed secrets and misconfigurations in AI-built web apps

02

Continuous security monitoring of live applications launched from rapid prototyping tools

03

Reproducing and confirming exploits before generating pull requests with fixes

04

Forensic tracing of AI agent actions to detect unauthorized behavior via the Evidence Canvas

05

Pre-launch security grading of code by connecting a repository without a live domain

06

Reducing false positive overhead by verifying every vulnerability before reporting

What Problem It Solves ▼

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.

Key Features ▼
✓

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

Overview

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.

Pros & Cons

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

Similar Tools

Snyk SonarQube Escape Checkmarx GitHub CodeQL

More in Apis