Hacktron vs Scarlett: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Hacktron and Scarlett — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Hacktron
Hacktron AI
An AI security engineer that reviews every pull request, traces exploitable vulnerabilities and proves them with a working exploit before code ships.
Key features
- Exploit-Proven PR Review: Reviews every pull and merge request on GitHub, GitLab or Bitbucket and only reports a finding when it can attach a working exploit demonstrating real impact.
- Attacker-Path Taint Tracing: Indexes the codebase and traces tainted input through call paths to determine what an attacker can actually reach, rather than pattern-matching on syntax.
- Fix with AI in the Thread: Delivers a remediation prompt and suggested diff inside the pull request comment so the fix happens where the review already is.
- Security Automations: Set trigger conditions once and Hacktron verifies, fixes and tests every matching finding, then notifies the team in Slack or email.
- Whitebox Pentests: Launches a full-scope assessment that deploys a sandbox, builds a call graph, maps the attack surface and validates exploits, delivering an audit-ready SOC 2 or ISO 27001 report in hours instead of weeks.
- Versioned Project Rules: A .hacktron/rules.md file lives and versions with your code, encoding which paths are high risk and which findings to suppress, cutting false positives without going blind to real bugs.
- Threat Models from Your Documents: Upload architecture notes, security policies or past pentest reports and Hacktron builds and updates a versioned threat model for the application.
- Triage as Training: Every finding you accept, dismiss or downgrade teaches the system that codebase's threat model, so reviews sharpen the longer it stays embedded.
- MCP and REST API Access: Pull findings into Cursor, Claude Code or Codex over MCP to analyse and fix, or build custom workflows on the REST API, plus Jira and Linear ticket creation.
Best for
- Pre-Merge Vulnerability Gating: Catching an IDOR or injection introduced by a pull request before it reaches production, with the exploit attached so nobody debates severity.
- Replacing Annual Pentests: Running continuous whitebox assessments instead of relying on a once-a-year engagement that misses everything shipped in between.
- SOC 2 and ISO 27001 Evidence: Producing an audit-ready penetration test report in hours to satisfy a compliance deadline or a customer security review.
- Cutting Scanner Alert Fatigue: Replacing a noisy SAST queue with findings that come with proof, so the security team spends its time on real issues.
- Scaling a Small Security Team: Giving one or two security engineers coverage across every repository and every developer's pull requests.
- Dependency Supply-Chain Checks: Scanning a lock file for malicious packages before they land in the build.
- Fixing Findings from Your Editor: Pulling confirmed vulnerabilities into Claude Code or Cursor over MCP and remediating them without leaving the IDE.
S
Scarlett
Scarlett
AI co-worker in Slack — connects to 3,000+ tools, drafts decks, ships PDFs, writes code and runs scheduled workflows end to end.
Key features
- Slack-Native Colleague: Install from the Slack App Directory and interact with Scarlett in threads like any teammate.
- Own Cloud Workspace: Scarlett has her own cloud computer where she writes and runs code to deliver real outputs (PDFs, decks, dashboards, scripts).
- 3,000+ Integrations: Connects to Salesforce, HubSpot, Notion, Stripe, Linear, Jira, GitHub, Google Drive, Google Calendar, Google Ads, X/Twitter and more.
- Scheduled Workflows: Recurring jobs like Daily Team Brief (7am), Weekly Business Report and Project Status Digest that post straight to Slack.
- Prebuilt Workflow Templates: Meeting Prep Briefing, Customer Feedback Themes, Customer Support Triage and other ready-to-run team ops recipes.
- Autonomous Operations Mode: Run Scarlett as an 'overnight review' agent that manages customers and reports on revenue, signups and churn.
- Fast Onboarding: Set up in under 3 minutes; $50 in free credits to try before committing.
Best for
- Marketing Ops: 'Pull our Meta Ads data and compare vs last month' delivered as a chart-backed Slack update.
- Executive Briefings: Automatic morning briefs summarizing revenue, pipeline and support trends.
- Support Triage: Scan tickets and emails daily, categorize issues, post the queue and summarize recurring problems.
- Meeting Prep: Before an important meeting, pull attendee info, company context and the last email thread into one brief.
- Customer Success: Group customer signals from support, email and Slack into themes, save recommended follow-ups to Notion.
- Deliverables from Chat: Ask Scarlett for a marketing strategy PDF from a meeting recap and receive the file in the thread.