TRU SCAN
Secure AI Code — From Day One
Open Source. Built for community
TRUSCAN helps developers detect AI-specific security risks while building AI systems or applications. It runs directly in your development workflow—so issues are caught early, fixed faster, and never make it to production.
Free
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Free to use
No licenses, no usage limits, no paywalls.
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Auditable by design
Understand exactly how detections work.
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Community-driven
Built in the open, improved by contributors.
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No vendor lock-in
• Use it locally, in CI, or extend it for your stack. costs
ONE SCANNER. END-TO-END Coverage
Works Across your development workflow
IDE Plugin
Real-time AI security feedback as you code
- Inline warnings with clear severity levels
- Context-aware explanations of the risk
- Suggested fixes and safer patterns
- Scan on save or run manually
Pull Request Scanning
Catch risky AI changes before they merge
- Automatic scans on every PR
- Findings added as review comments
- Inline remediation guidance
- Optional severity-based merge checks
CI / CD Friendly
Enforce AI security in automation
- Works with GitHub Actions, Jenkins, GitLab CI, CircleCI, and more
- Structured outputs for scripting and tooling
- Configurable severity thresholds
- Fail builds on critical AI risks
Purpose-Built for AI Security
Critical

- Prompt Injection
Untrusted input flowing into prompts without isolation or controls.

- Indirect Data Exfiltration
Agent and tool paths that could leak sensitive data.

High

- Sensitive Data Exposure
PII or confidential data sent to models or logs.

- Unsafe Output Usage
LLM responses used in SQL, shell commands, or APIs without validation.

Cost Efficiency

- Over-Privileged Agents
Excessive tool access or missing approval steps.

- Weak Guardrails
System prompts vulnerable to jailbreaks or bypasses.

AI ASSURANCE PLATFORM
What sets us truly apart.
Cutting-Edge AI Research, Applied
Trusys.ai is built on a foundation of advanced research, bringing state-of-the-art AI safety and evaluation directly to your enterprise. Combines proprietary research with open-source strategies, offering far more depth than standalone OSS tools.
Advanced Hallucination Detection
Curated Models & Datasets
Multilingual Voice Evaluation
Pioneering Research Integration
Multimodal, End-to-End Evaluation
Evaluate AI across text, voice, image, video, RAG, and agentic applications—all in one seamless platform.
Human in the loop
Human in the loop
Human in the loop
Human in the loop
Human in the loop
Human in the loop
Human in the loop
Low-confidence outputs are auto-routed to human reviewers, enabling consensus scoring that blends expert judgment with LLM-based metrics.
Designed for Teams, Not Just Engineers
A no-code, intuitive interface with built-in workflows—no steep learning curve or complex setup.
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