Headless AI security outcome as a service
Outcomes delivered,
not dashboards.
Headless AI security outcome as a service that scans code for vulnerabilities across the full development lifecycle.
Automated PR review
GitHub/GitLab apps scan every pull request. Two-touch model: automatic scan on open, final review on request.
Pre-commit scanning
Catch vulnerabilities before code leaves your machine. VS Code extension scans staged changes in real time.
Red team scanning
Adversarial full-repo scans that chain findings into attack narratives. Pre-deployment security validation.
Runtime SDK (open source)
Open-source companion library for in-app guardrails. Prompt sanitization, output validation, token budgets, and agent scope restrictions. Enforced at runtime with full context from the Proxilion scan pipeline.
Results arrive via Slack and email. Every scan includes an agent replay trace, full audit log, and a link to download raw findings from your private storage for your own analysis.
Read-only access. No code stored. Full audit trail. Works with GitHub and GitLab.
AI coding assistants write fast. Nobody audits what they produce.
45% of AI-generated code has security flaws
Stanford research shows that developers using AI assistants produce significantly less secure code and are more confident it's correct. Speed without oversight creates risk at scale.
Your LLM pipeline is an attack surface
Every AI agent with tool access, every prompt template with user input, every RAG pipeline with external data is an entry point. Prompt injection, data exfiltration, and privilege escalation happen through the AI layer.
Existing scanners don't look for AI-specific threats
Traditional SAST tools check dependencies and secrets. They don't know what prompt injection is, why IDOR in an AI agent is catastrophic, or that your system prompt is leaking to the frontend. Proxilion does.
Install in minutes. Results delivered where you already work.
Install the GitHub or GitLab app
Read-only access. No config files. No agents to install. Works with any language and any framework.
Open a pull request
Deterministic scanners and Claude AI review run in parallel. Results appear as a PR comment in seconds.
Get notified
Critical findings are sent to Slack. Weekly reports arrive by email. Fix issues before they merge.
AI-specific threats that other scanners miss
Prompt Injection
Malicious prompts embedded in code, configs, or data. Override attempts, delimiter abuse, role hijacking, and encoding attacks.
PII & Credential Exposure
API keys, tokens, personal data in AI pipelines. Emails, SSNs, credit cards, health records in code, prompts, RAG contexts, and logging statements.
Insecure LLM Output
AI output used in eval(), SQL, DOM without sanitization. Missing rate limiting, unvalidated model outputs, and prompt leakage risks.
Excessive Agency
Agents with unscoped tools, missing human-in-the-loop checkpoints, unrestricted permissions, and missing confirmation flows.
Dependency Vulnerabilities
Known CVEs in your supply chain. AI-compiled detection rules updated weekly from the latest advisory databases.
Agent Intent Analysis
Maps what each agent is designed to do: tool registrations, permission scopes, MCP server connections, and confirmation flow gaps. Shows intent vs. safeguards.
Agent Replay
Traces data flow between agents in multi-agent architectures. Catches multi-hop injection chains where one agent's output poisons another's input.
Breakage Risk
Dependency upgrades with breaking changes get a dedicated risk section. Reachability analysis confirms whether affected APIs are actually imported.
Plus data leakage, weak cryptography, taint analysis, and more across 12 scanner categories.
Governance without a dashboard
Results delivered where you already work. No login required.
PR Comments
Verdict, findings, remediation, and feedback loop on every pull request. Inline comments on the exact lines that need attention.
Slack Alerts
Critical and high-severity findings sent to your Slack channel. No alert fatigue. Clean scans and low-severity findings are silent.
Weekly Reports
Monday summary email with scan statistics, trending findings, and posture score across all repositories.
85% deterministic. 15% AI. 100% autonomous.
Proxilion combines the best of both worlds. Deterministic pattern scanners handle the 85% of threats with known signatures. Fast, predictable, and auditable. Claude AI reviews the 15% that require contextual judgment. Together, you get the reliability of rules with the intelligence of AI in a single autonomous pipeline.
Deterministic (85%)
Pattern scanners, policy engine, rule compiler
Predictable. Fast. Cheap. Auditable. No hallucinations. 150+ detection patterns across 12 categories. Same input, same output, every time. Zero API cost per scan for pattern matchers.
src/chat/agent.ts:47
AI-Powered (15%)
Claude AI review for ambiguous findings
Contextual remediation and self-healing pattern improvements. Targeted, cost-optimized. The AI reviews code in context, catches nuanced logic flaws, IDOR vulnerabilities, and architectural risks that rules cannot detect.
src/tools/fetch-orders.ts:23
A complete AI security platform
Available Now
Pre-commit Scanning (VS Code)
Catch issues before code leaves your machine. VS Code extension shows inline findings in your editor and scans staged changes before you push. Secrets, PII, prompt injection, and more. All before you push.
Available Now
Post-commit PR/MR Scanning
Headless GitHub/GitLab app. Every PR, automatically. Deterministic scanners plus AI review. Results as PR comments and GitHub Issues.
Available Now
Red Team Scanning
Adversarial full-repo scans that chain findings into attack narratives. Pre-deployment security validation with AI-powered analysis.
Available Now
Runtime SDK (open source)
Open-source companion library for in-app AI guardrails. Import it to enforce prompt sanitization, output validation, token budgets, and agent scope restrictions at runtime. Pairs with the Proxilion scan pipeline for full lifecycle coverage. View on GitHub.
Coming Soon
GitHub Actions
Run Proxilion scans in your CI/CD pipeline. Same scanners, same AI review, no GitHub App installation required. Get notified when it ships.
One plan. One price. No per-seat math.
$150/mo
flat rate per organization
- -500 scans per month (pattern scanners plus AI review)
- -12 scanner categories covering AI-specific threats
- -Claude AI review on every scan
- -Slack notifications
- -Weekly email reports
- -Unlimited team members
- -Up to 50 repositories
- -GitHub and GitLab support
- -Feedback flywheel. The product improves from your usage
- -Bring your own API key. Anthropic or Google Gemini (optional)
14 days free. 3 PR scans + 3 repo scans. Full features including AI review. No credit card required.
Questions? Get in touch
Ship AI code with confidence
Your team moves fast. Proxilion makes sure that speed doesn't come at the cost of security. Install the app. Open a PR. See your first scan in seconds.