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About ProjectCredits & Architecture

Build. Break. Verify. Fix.

BreachLabs is an autonomous application-security engineer. It inspects source code, tests running sandboxes, investigates tainted data paths with contextual reasoning, executes scoped verification probes, drafts precise root-cause patches, and proves fixes hold with automated retests.

OPEN SOURCE MIT Licensed
01 Project Credits

Creator & Lead Architect

Engineered with a vision to transform security from a noisy post-hoc alert pipeline into an autonomous, trustworthy pair-programming invariant.

AS

Aayush Srivastava

CREATOR & LEAD ENGINEER

Full-Stack Security Engineer & AI Systems Architect. Creator of BreachLabs, the Model Context Protocol (MCP) security tooling suite, and the autonomous vulnerability verification engine.

© 2026 BreachLabs · Built & Engineered by Aayush Srivastava. All rights reserved.
MIT License Zero Telemetry Leakage Deterministic Evidence
02 Why BreachLabs Exists

Security tooling produces noise. Engineers need verified answers.

The bottleneck in modern application security is not detection—it is the chasm between static alert spam and actionable, verified root-cause fixes. BreachLabs closes this distance.

Autonomous Position

Operates directly inside the build and pair-programming loop as a specialized subagent, rather than a slow compliance scanner that reviews after deployment.

Deterministic Method

Combines multi-language AST taint analysis, secret detection, dynamic scoped HTTP probes, and contextual AI investigation to correlate signals into verified findings.

Honest Confidence

Zero unverified assertions. Suspected issues remain labeled as suspected, and verified findings are accompanied by exact reproducible exploit steps and diffs.

03 Engineering Principles

Four invariant rules guiding the system.

01

Measure deterministically.

Security detection must not vary stochastically between runs. Language models reason over evidence, but deterministic scanners and probes perform the physical measurement.

02

Trace every finding to source.

Every finding provides its exact origin: source file line number, tainted argument trace, HTTP request payload, and response signature.

03

Verify before asserting.

Findings are categorized with strict confidence levels (VERIFIED, SUSPECTED, DISMISSED) and retested in sandbox isolation after applying fixes.

04

Enforce strict sandbox boundaries.

Authorized targets only, isolated container environments, allowlisted MCP tools, and zero data leakage to external telemetry services.

Give every application its own security engineer.