Description
Hacktron AI is an autonomous code review and security platform that reviews code, detects real vulnerabilities, and writes exploits before code ships. It traces each change through the codebase the way an attacker would, proves impact with a working proof-of-concept exploit, and shows its work directly in the pull request, so teams fix exploitable issues instead of chasing false positives and alert fatigue.
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Teams connect GitHub, GitLab, or Bitbucket repositories in under five minutes, and Hacktron reviews the next pull or merge request, indexing the codebase and asking what a successful exploit would require. Findings arrive with a working exploit and an AI fix, and if impact cannot be demonstrated, no alert is raised. It integrates with Slack for triage, Jira and Linear for automatic ticket creation, and MCP and a REST API to pull findings into Cursor, Claude Code, or Codex. Conditions can be set once so Hacktron automatically verifies and remediates matching findings and notifies the team.
Hacktron learns continuously from a team: project rules version with the code to reduce false positives, triage feedback trains the codebase's threat model, and uploaded architecture notes, security policies, or past pentest reports build and update threat models. It can also launch full white-box, exploit-driven pentests at machine speed, producing audit-ready reports for SOC 2 or ISO 27001. Pricing starts at $40 per developer per month (50 PRs with unlimited scans, no credit card required), with custom enterprise pricing.
- CategoryAI Cybersecurity Tools
- Pricing ModelPaid
- DeploymentCloud, On-premises
- PlatformsWeb
Hacktron AI's Core Features
Autonomous code review that finds exploitable vulnerabilities
Working proof-of-concept exploits attached to each finding
In-pull-request findings with AI-assisted fixes
GitHub, GitLab, and Bitbucket integration in under five minutes
Slack triage, plus Jira and Linear ticket creation
MCP and REST API for Cursor, Claude Code, and Codex
Continuous learning from project rules and triage feedback
Full white-box exploit-driven pentests with audit-ready reports
How to use Hacktron AI?
Connect your repos: Integrate GitHub, GitLab, or Bitbucket in under five minutes.
Let Hacktron review: It reviews your next pull or merge request and traces exploitable paths.
Get proven findings: Receive findings with a working exploit, or no alert if impact cannot be shown.
Fix and triage: Apply AI fixes in the PR and triage in the thread or Slack, teaching Hacktron your threat model.
Automate remediation: Set conditions once so Hacktron verifies and remediates matching findings automatically.
Hacktron AI's Use Cases
- Pre-ship security review
- Pull request security gating
- Automated remediation
- White-box pentesting
- Agent-driven fixes
