ZAST.AI offers an AI‑driven vulnerability research agent that automatically scans codebases, generates proof‑of‑concept exploits, and delivers results with zero false positives and no manual effort. By building control‑flow graphs and performing deep semantic analysis, the platform provides zero‑day coverage and actionable exploit proofs, helping security teams keep pace with the growing volume of software code.
Funding
Funding not disclosed
Founders
Product
Problem
Security teams are overwhelmed by the volume of code, especially AI‑generated code, and traditional static analysis tools produce many false positives and lack actionable exploit evidence, making vulnerability remediation slow and noisy.
Solution
ZAST.AI offers an AI‑driven vulnerability research agent that automatically scans entire codebases, builds control‑flow graphs, and performs deep semantic analysis to identify exploitable security issues. The platform validates each finding with an automatically generated proof‑of‑concept exploit, ensuring only true, exploitable vulnerabilities are reported. By eliminating manual triage and false positives, the agent delivers instant, actionable results that integrate into existing developer workflows and security pipelines. The solution is delivered as a SaaS platform with API and IDE extensions, allowing organizations to assess code in real time without exposing source code for external model training.
Target Audience
Primary customers are security teams and developers in enterprises that produce large volumes of code, including AI‑generated code, and need accurate, low‑noise vulnerability detection.
Features
- Automatic parsing of codebases into control‑flow graphs for deep semantic bug detection
- AI‑powered threat modeling that simulates attacker behavior to uncover complex attack vectors
- Verifiable proof‑of‑concept generation that dynamically confirms exploitability and removes false positives
- Integrated reporting with precise remediation guidance and auto‑generated compliance documents
- Seamless integration via SaaS dashboard, API endpoints, and IDE extensions for continuous security testing
- On‑premises data handling options that keep source code within the customer’s environment for privacy