mission
Introducing Hawk
COOKIE POLICY
Find Vulnerabilities Before They Ship
AI powered code analysis that traces untrusted inputs, detects chain poisoning, and catches zero-days before your code hits production.
The Problem
Why Hawk?
Traditional scanners match patterns against yesterday's CVE databases. They miss chain poisoning attacks, novel zero-days, and complex vulnerability flows that span multiple files and dependencies. By the time a signature exists, the exploit is already in production. Hawk doesn't wait for signatures. It traces how untrusted input flows through your entire codebase architecturally and catches what no scanner has seen before.
Hawk in Action
Architecture
How Hawk Works
Six layers working in sequence from raw code ingestion to AI-generated patches.
01
Code Ingestion Layer
Collects and normalizes code from repos, APIs, or direct uploads into a unified analysis pipeline.
02
Preprocessing & Segmentation
Breaks code into functions, classes, and meaningful chunks for targeted analysis.
03
Lightweight Filtering
Rapidly scans and filters low-risk code using fast, low-cost models. Saves compute for what matters.
04
Core AI Engine
Deep semantic analysis using quantised LLMs for complex pattern detection and risk scoring.
05
Static Analysis Engine
Rule-based and syntax level checks for known vulnerabilities and coding standard violations.
06
Vulnerability Intelligence Layer
Enriches findings with threat intel, CVE context, and real-world exploit data.
Hidden Vulnerability Detection
Traces how untrusted input flows across your entire codebase. Finds vulnerability chains invisible to static scanners.
Chain Poisoning Detection
Tracks how compromised inputs propagate across interconnected components and dependencies.
Zero-Day Pattern Recognition
Identifies unknown or anomalous exploit patterns across code flows before any database lists them.
Diffusion-Based SLM Analysis
Isolates micro-patterns in code rather than processing large contexts. High accuracy on complex, noisy codebases.
CVE/CWE Taxonomy Mapping
Automatically maps detected vulnerabilities to nearest known CVE and CWE classifications for compliance.
AI-Generated Patches
Transformer-based module generates contextual, secure code fixes tailored to each vulnerable segment.
Key Capabilities
What Hawk Detects
Six core detection engines working in concert across your entire codebase.
Dashboard

Built For
Who Uses Hawk
DevSecOps Teams
Integrate Hawk into your CI/CD pipeline. Every commit scanned, every vulnerability caught before merge.
Government Code Audits
Sovereign, on-premise analysis for classified and sensitive codebases. No data leaves your infrastructure.
CI/CD Security Gates
Automated quality gate that blocks vulnerable code from reaching production. Ships clean or doesn't ship.