See, Secure, and Govern Every AI System — Before It Becomes a Breach
From GenAI agents to embedded models in production — Rakshan gives you real-time visibility, attack detection, and runtime enforcement across your AI landscape.
Security Challenges in AI Governance
Security leaders face unique challenges when governing AI systems.
Shadow AI Proliferation
Shadow AI used without approval across business units creates security blind spots.
Exposed GenAI Agents
No visibility into GenAI agents exposed to the internet creates attack vectors.
Prompt Injection & Jailbreaking
Prompt injection, jailbreaking, or LLM misuse risks compromise sensitive data.
Comprehensive AI Security
Our platform provides end-to-end security for AI systems.
Total AI Visibility
- Discover all models, pipelines, and agents — from SaaS to infra
- Identify risky deployments, orphaned endpoints, and drift
AI-Specific Runtime Security
- Detect hallucinations, prompt manipulation, data leakage, and output misalignment
- Apply policy enforcement, kill switches, and security guardrails
GenAI Red Teaming
- Run tests from the OWASP LLM Top 10 playbook
- Simulate jailbreaks and manipulation across models, APIs, and agents
Audit-Ready Evidence
- Track AI threats, violations, and response activity
- Generate reports for internal audit, regulatory response, or vendor due diligence
Results You Can Expect
Unified Security View
Unified security view across GenAI, ML, and embedded models.
Attack Surface Management
AI-specific attack surface management, drift detection, and runtime control.
Faster Response
Faster response to threats with built-in AI posture alerts.
Regulatory Evidence
Evidence and control mapping for regulators or board.
The AI Attack Surface Is Growing. So Should Your Visibility.
Stop guessing and start governing AI security with Rakshan.