AISafe Labs

Overview

AISafe Labs is an autonomous security assessment platform that provides on-demand penetration testing and source code auditing for web applications. By utilizing parallel AI agents, the platform rapidly analyzes codebases, detects complex logic vulnerabilities, and executes safe live-environment exploits. It streamlines DevSecOps workflows by delivering audit-ready reports tailored for SOC 2 and ISO 27001 compliance without scheduling delays.

What it does

• - Parses and audits uploaded source codebases via automated agents to identify logic flaws and vulnerabilities
• - Executes white-box and black-box penetration testing against live environments to validate real-world exploitability
• - Tracks dependencies and performs comprehensive source-to-sink data flow analyses across the application stack
• - Generates audit-ready security reports complete with proof-of-concept exploits and patch recommendations.

Who it's for

• Software Developers
• Security Engineers
• DevSecOps Teams
• Bug Bounty Hunters

Why it works

• Replaces slow, expensive manual penetration testing engagements with rapid, on-demand autonomous agent execution cycles
• Eliminates broad static analysis false positives by reasoning through application logic and threat modeling like human experts
• Integrates smoothly into existing CI/CD pipelines, GitHub, GitLab, Jira, and Linear workflows
• Provides actionable vulnerability writeups and precise patch diffs to accelerate developer remediation time.

Founder story

AISafe Labs was founded by Fineas Silaghi (CEO) and Dragos Albastroiu (CTO) to fix traditional application security processes that are too slow and expensive. Based in Timisoara, Romania, the team built an elite autonomous platform that brings expert-level penetration testing and source code auditing to every software development team.

Alternatives

• Snyk
• HackerOne
• Semgrep
• GitHub Advanced Security

Comparison overview

• Traditional security scanners rely on rigid rule-based pattern matching and frequently produce high volumes of false positives.
• AISafe Labs deploys autonomous AI agents to reason through application context, reducing noise and validating live exploitability.