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.