AI Zero-Day Factory
Defensive Discovery Pipeline
Defensive discovery pipeline - reduce noise, surface real candidates, and produce evidence packs for triage and engineering workflows.
At a Glance
Discover vulnerabilities before attackers do. Input your codebase or binary, and the AI-driven engine outputs prioritized findings with PoC snippets and remediation guidance - all logged for audit.
The Problem
Vulnerability discovery tools generate mountains of noise. Security teams waste cycles on false positives, lack context for triage, and struggle to hand off actionable findings to engineering. Most 'zero-day' claims are marketing - not reproducible, not defensible.
The Solution
AI Zero-Day Factory focuses on defensive value, not exploitation. It surfaces real vulnerability candidates with full evidence packs - context, reproducibility steps, and engineering-ready handoff. Every finding is logged, traceable, and designed to integrate into your existing triage and remediation workflows.
Capabilities
Production-ready features designed for enterprise integration.
Defensive Focus
Prioritizes findings by defensive value and remediation path, not exploitability hype.
Evidence Packs
Every finding includes context, reproduction steps, and engineering handoff materials.
Triage Integration
Outputs designed to slot into existing vulnerability management and ticketing systems.
Pattern Clustering
Groups similar findings to reduce noise and identify systemic issues.
Toolchain Hooks
Integration points for fuzzers, scanners, and custom analysis pipelines.
Audit Logging
Full JSONL audit trail for every decision, finding, and workflow step.
Evidence & Proof Points
Hard numbers and verifiable outputs for your due diligence.
Sample Outputs
Integration
Clear inputs and outputs for seamless integration into your stack.
Inputs
- Fuzzer outputs (AFL, libFuzzer, custom)
- Scanner results (SAST, DAST)
- Code repositories (for context enrichment)
- Historical vulnerability data (optional)
- Custom analysis pipeline outputs
Outputs
- Evidence packs per finding
- Triage-ready reports (JSON/PDF)
- Pattern cluster summaries
- Engineering handoff documents
- Webhook notifications
- JSONL audit trail
Ideal For
Best-fit buyer profiles and use cases.
Integrate discovery into your SDLC with actionable, engineering-ready outputs.
Scale discovery efforts with evidence-backed findings, not noise.
Add zero-day discovery as a differentiating feature with audit trails.
Pre-triage submissions with pattern matching and evidence validation.
Reduce false positive burden and accelerate remediation handoffs.
Deliver reproducible findings with professional evidence packs.
Ready for a Deep Dive?
Schedule a 20-minute technical walkthrough to see AI Zero-Day Factory in action and discuss integration options.