AI Security at Every Layer

Whether you use third-party AI or build your own or even Shadow AI in your organization,
SuperAlign ensures you never have to sacrifice safety for agility.

Safeguard Internal AI Interactions
in Real Time Automatically detect and mitigate risks from external AI tools, APIs, and third-party integrations.

Safeguard Internal AI Interaction
Monitor and control all internal AI activities within your network—ensuring sensitive prompts and data remain protected.

Prompt Monitoring & Logging

Track internal AI usage and detect risky prompts

AI Tool Detection

Identify and block unauthorized third-party AI apps

Data Masking & Anonymization

Prevent sensitive data exposure within your internal AI tools

Risk Scoring & Threat Database

Benchmark external tools against live risk intelligence

User Behavior Analysis

Detect unusual or suspicious AI prompt patterns.

Real-Time Policy Enforcement

Block or restrict high-risk external AI interactions

Stronger AI demands even stronger security measures

Purpose-Built for AI Security

Traditional security tools miss AI-specific vulnerabilities. SuperAlign fills the gap.

Proprietary Risk Intelligence

Log and analyze every AI interaction—internal or external—for complete visibility

Comprehensive AI Monitoring

Our AI Risk Database benchmarks external AI tools against real-world threat data

In House AI Application Security

Protect your AI-powered applications and APIs from adversarial attacks, jailbreaks, and injection attempts.

  • Mitigated Risks:
  • Prompt Injection & Jailbreaks
  • Output tampering vulnerabilities
  • Excessive agency and AI abuse

Third-Party AI Risk Mitigation

Detect and regulate unauthorized AI usage across public tools like ChatGPT, Gemini, and Claude. Ensure real-time policy enforcement to prevent data leaks and misuse.

  • Mitigated Risks:
  • Data exposure through external AI tools
  • IP and Copyright breaches
  • Malicious or inaccurate AI outputs

Enterprise LLM & Copilot Protection

Secure your internal AI deployments (e.g., Copilots) by
detecting misconfigurations, fortifying trust boundaries, and ensuring compliance with AI regulations.

Mitigated Risks:

  • Misconfiguration vulnerabilities
  • Privacy and regulatory breaches
  • Insecure prompt handling

In House AI Application Security

Protect your AI-powered applications and APIs from adversarial attacks, jailbreaks, and injection attempts.

Mitigated Risks:

  • Prompt Injection & Jailbreaks
  • Output tampering vulnerabilities
  • Excessive agency and AI abuse