AppSec for the vibe coding era
Get the context and precision you need to secure code — from legacy C to AI-native apps and the models behind them — no matter who (or what) wrote it.
Securing human and AI-generated code at:





















AI for Security
Triage smarter, review faster, never miss a critical change
AI Code Security Review uses three expert agents — Developer, Architect, and AppSec — to review pull requests with the context and care of a real team. It surfaces material changes to your security architecture, such as modifications to authentication methods, database schema, or cryptography, and flags pull requests that warrant human review.
- Cut through the noise: Automatically surface pull requests with meaningful changes — and safely skip the rest.
- Get context fast: Understand what changed and why, without reading every line or knowing the codebase inside-out.
- Take action: Loop in the right code owners to follow up on changes and guide next steps where it matters most.
Security for AI
Manage and secure AI models and services
AI models and services are the new application dependencies — and they deserve the same scrutiny. Detect and assess third-party AI models for risks, whether your teams are using open source models from Hugging Face or integrating with services like ChatGPT, Claude, and others.
- Know what’s running: Detect and inventory AI models in your code, and track them in your SBOM.
- Evaluate model risk: Assess AI dependencies with insights into security and operational risk indicators.
- Enforce with confidence: Define and apply policies to prevent risky AI models from entering production.

AI AppSec Platform
Built on unmatched security intelligence
We combine agentic AI with advanced program analysis and the industry’s richest dataset on open source code — the same code AI is trained on. That foundation gives AppSec teams unmatched context, precision, and confidence in every decision. It’s the next generation of code analysis, built for how software is written today.
- Understand how code really works: Leverage line-level vulnerability data, language call graphs, and over a billion signals from 4.5M+ open source projects and AI models — all indexed and enriched with 150+ health checks.
- Detect what others miss: Cut through the noise of thousands of pull requests to catch risky changes others overlook — even when they're buried deep in the diff.
- Automate everything: Use a powerful API to build end-to-end AppSec workflows, from detection to triage to policy enforcement.