ABOUT

A small project focused on one practical security question.

When a security team has hundreds of findings, which handful deserve action first — and can the analyst explain why?

THE PROJECT

Independent and early stage.

AttackPath AI is an independent cybersecurity tooling project currently in prototype development. The intended first users are security engineers and small security teams that already have findings but need a more contextual way to decide what to investigate or remediate first.

The project is intentionally narrow. It is not trying to replace every scanner, SIEM, EDR or CNAPP. It is focused on the correlation step between a finding and the security path around it.

01

Make the reasoning visible

Security priorities should be reviewable, challengeable and supported by evidence.

02

Start with read-only analysis

The initial architecture favors safe imports and approved integrations before any response automation.

03

Design for smaller teams

The workflow should be useful even when a security team does not have a large platform engineering function.

FOUNDER

Shubham S.

Founder / Product Lead

Building the first version around defensive security analysis, evidence-linked prioritization and practical remediation workflows.

shubhams@attackpathai.website ↗

ROADMAP

Now

Core data model

Assets, findings, identities, relationships and explainable priority factors.

Next

Imports & connectors

Reliable ingestion from commonly used security exports and approved read-only integrations.

Then

Path validation

Better evidence handling, path-break verification and analyst feedback loops.