Inspect user inputs and AI responses in real time, block malicious prompts, and allow only safe requests to reach the model.
Why AI Security & Infrastructure
Validation Matter
As AI adoption accelerates, new security risks
are emerging just as quickly.
Rapid AI Adoption without Visibility or Control
Generative AI tools such as ChatGPT, Claude, and Gemini are spreading rapidly across organizations.
AI is Becoming a New Attack Surface
Existing security solutions do not adequately protect against AI-specific attacks.
AI Models Must Be Validated Before Deployment
AI models must be evaluated not only for functionality, but also for security and safety before deployment.
Infrastructure Misconfigurations Create Hidden Risk
Server and database misconfigurations are a major source of security vulnerabilities and incidents.
Compliance is Essential, Not Optional
Security regulations and audit requirements continue to grow in scope and complexity.
Model Scanning & Red Teaming
Protect the AI supply chain by verifying model integrity and security before deployment.
- Combine static and dynamic scanning
- Detect malware and vulnerabilities
- Detect signs of model tampering
- Validate model defenses through adversarial attack scenarios
AI Firewall
Inspect interactions between users and AI models in real time.
- Block policy violations in real time
- Detect and mask sensitive information
- Alert users when security risks are detected
AI Lens
Gain visibility and control over AI usage across your organization.
- Monitor the use of LLMs, AI assistants, and copilots
- Detect Shadow AI
- Enforce consistent governance with role-based policies
CSSCAN
Perform agentless security checks across servers and databases.
- Support for Windows, Linux, and major databases
- Run security assessments without installing agents
- Streamline compliance with AI-generated reports