Can Mythos Agent automatically fix security issues?

Yes, it generates AI-powered code fixes, automatically providing patches for identified security vulnerabilities with an option for direct application.

What types of security issues can Mythos Agent find?

It detects a wide range, including code patterns (SQLi, XSS), secrets, dependencies (SCA), IaC misconfigurations, API security, AI/LLM security, race conditions, and more through its various scanners.

What is Mythos Agent?

Mythos Agent is an open-source AI code-review assistant that automates application security by detecting vulnerabilities, explaining findings, and suggesting fixes for your codebase.

How does Mythos Agent identify vulnerabilities?

It uses AI-driven Hypothesis-Driven Scanning, Variant Analysis (finding similar code to known CVEs), and Multi-Stage Verification (pattern, AI hypothesis, fuzzing, PoC generation) for high-confidence findings.

Mythos Agent: AI AppSec Code Review & Vulnerability Detection

Name: Mythos Agent
Author: mythos-agent

mythos-agent is an open-source AI code-review assistant designed to enhance application security. It functions like a human security reviewer, intelligently analyzing code to identify likely security issues, explaining the underlying reasoning, and proposing actionable fixes. This tool uniquely combines hypothesis-driven scanning, variant analysis (inspired by Google's Big Sleep technique), and multi-stage verification to ensure high-confidence findings, making it a robust solution for securing codebases against known and emerging threats.

Key Features

01Multi-Stage Verification: Confirms findings through a pipeline including pattern scanning, AI hypotheses, smart fuzzing, and proof-of-concept generation.

0213 GitHub stars

03Variant Analysis: Finds structurally similar code to known CVEs, identifying new vulnerabilities with the same root cause.

04Natural Language Security Queries: Allows users to ask security questions about their codebase using natural language.

05Hypothesis-Driven Scanning: AI reasons about potential vulnerabilities instead of just matching patterns, generating security hypotheses.

06AI-Powered Code Fixes: Automatically generates patches for identified security issues with an option to apply them.

Use Cases

01Perform autonomous AI-driven security assessments of codebases to identify and prioritize vulnerabilities.

02Discover new variants of known CVEs within proprietary code to proactively address potential zero-days.

03Integrate into CI/CD pipelines for continuous security monitoring and automated vulnerability detection on every push or pull request.