Xalgorix
Xalgorix builds an autonomous offensive-security engine for developers and security teams. It runs a 22-phase penetration test against an app, repository, or authorized target, then exploits and independently verifies findings so reports contain evidence-backed vulnerabilities rather than scanner guesses.
At a Glance
- Founders and SaaS companies
- Development and engineering teams
- AppSec and security teams
- MSSPs and penetration-testing consultancies
- +3 more
AI Tools by Xalgorix
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Xalgorix
Autonomous AI pentesting
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Latest News
Published Weekly AppSec Threat Digest covering actively exploited Cisco ISE and Secure Email Gateway issues, GitLab traversal, Issabel JWT, Unbound DNSSEC, VMware vCenter ransomware, and agentic-browser attacks.
Published Weekly AppSec Threat Digest covering Magento RCE, N-able N-central, SAP, Check Point VPN, Chrome V8, PaperCut, and NASA command-injection disclosures.
Published analysis of Anthropic's reported real-world agentic-security incidents and lessons for scope enforcement, egress controls, credential boundaries, and safe autonomous pentesting.
Published security briefing on Gitea, NetScaler, Zimbra, Snowflake CI injection, and agent isolation; the changelog also records the August 31 security briefing and hosted-versus-self-hosted comparison updates.
Products & Services
Apache-2.0-licensed, self-hosted AI penetration-testing platform distributed as a Go binary, Docker image, or source build. It provides a local Web UI and CLI for authorized testing, with browser automation, terminal tooling, 22 phases, live telemetry, finding management, CVSS scoring, and PDF reports.
Managed hosted security-testing platform with a dashboard, full 22-phase scans, exploit verification, branded PDF reports, schedules, team sharing, REST API, webhooks, multi-target scans, and managed model/infrastructure usage.
Free, diff-scoped pull-request security review. It automatically comments findings and concrete fixes on PR diffs, updates the same review comment on new commits, and can be rerun with @xalgorix review.
CI/CD integration for launching scans against deployed targets or source repositories, receiving signed scan.completed webhooks, and failing builds when reproduced findings exceed a configured severity threshold.
Market Position
Xalgorix positions itself as an open-source/self-hostable and managed-cloud alternative to conventional vulnerability scanners and pentesting agencies, emphasizing proof rather than detection: it exploits candidates, independently re-verifies them, and reports only evidence-backed results. Its differentiation is the combination of a 22-phase autonomous pentest engine, production-safe controls, PR-native GitHub reviews, and a free self-hosted option; the broader buying set includes autonomous pentesting platforms such as Horizon3.ai, XBOW, Penligent, and Pentera, plus continuous AppSec/DAST products such as StackHawk.
Leadership
Founders
Krishna Kumar
Founder and lead security engineer (LinkedIn describes him as Founder & CEO); web-application penetration tester and bug-bounty hunter with 5+ years in offensive security. He is the GitHub user @xalgord, author of a widely used web-app pentesting and bug-bounty methodology guide with more than 1,800 GitHub stars, and creator of the Xalgorix engine.
Executive Team
Krishna Kumar
Founder & Lead Security Engineer
Web-application penetration tester, bug-bounty hunter, open-source security author, and creator of the Xalgorix engine; LinkedIn identifies him as Founder & CEO.
Founding Story
Xalgorix grew out of Krishna Kumar's own bug-bounty workflow. The initial vision was to automate repetitive engagement work such as reconnaissance, injection sweeps, and evidence collection, while preserving human attention for difficult, high-value logic bugs; the first Go CLI was used internally on bug-bounty engagements.
Business Model
Revenue Model
Xalgorix Cloud uses credit-based billing for managed infrastructure and model usage: monthly subscriptions replenish scan credits, and one-time credit packs are sold for occasional work or top-ups. Team and enterprise customers receive custom workspaces, pooled credits, concurrency, identity, invoicing, and support. The self-hosted engine is free and open source; customers self-manage infrastructure and LLM costs.
Pricing Tiers
40 scan credits/month, 1 concurrent scan, all 22 phases, 90-day findings retention, branded PDF reports, schedules, API access, and email support.
120 scan credits/month, 3 concurrent scans, 180-day retention, custom-logo reports, password-protected share links, schedules, API access, and priority email support.
400 scan credits/month, 5 concurrent scans, 365-day retention, custom-logo reports, password-protected links, schedules, API access, and priority email/chat support.
10 credits for $10, 50 for $40, 200 for $150, or 1,000 for $700; credits do not expire.
Organization workspaces, RBAC, pooled credits, higher concurrency, SAML/SSO and SCIM, audit logging, annual invoicing, custom retention, and dedicated support.
Target Markets
- Founders and SaaS companies
- Development and engineering teams
- AppSec and security teams
- MSSPs and penetration-testing consultancies
- Compliance and risk teams
- Bug-bounty hunters
- Developers and engineering teams securing pull requests and CI/CD releases
- Founders and solo CTOs needing pre-launch or recurring application testing
- Application-security engineers seeking continuous baseline coverage
- MSSPs and security consultancies running recurring, multi-client assessments
- Compliance and risk teams producing dated evidence for SOC 2, ISO 27001, and PCI reviews
- Bug-bounty hunters automating reconnaissance and early-scope testing