End-to-end protection against AI threats—from prompt injection and LLM denial of service (DoS) to malicious URLs and training data poisoning.
AI Security protects your generative AI applications at both the model layer and the usage layer.
Implement runtime protection against LLM threats, model scanning, and continuous red teaming; with AI Access Security, gain visibility into generative AI usage, manage access, and protect data.
The most common risks in generative AI
Prevent attacks at the generative AI layer before they occur.
A security technology that detects and blocks LLM-focused threats at runtime, while analyzing model and integration risks.
Technological capabilities:
- Model / integration scanning: Makes risks visible before production
- Runtime protection: Anomaly detection in live traffic and policy-based blocking
- Continuous attack simulation (continuous testing / red teaming): Continuously measures and improves resilience
- Deployment via API / Gateway: Integrates quickly into existing architectures
Gain visibility into enterprise generative AI usage, manage it, and secure it.
A security layer for generative AI applications that answers who/what/where is being used, governs access through policies, and protects data.
Benefits:
- Comprehensive visibility: An organization-wide usage map and risk view
- Access control: User-based policies and authorization
- Data protection: Reduces the risk of sensitive data being transferred into generative AI
- Governance: Compliant and auditable usage aligned with enterprise standards
Benefits of AI Security
Let’s work together to design a security layer tailored to your team—along with the right architecture (API/Gateway) and licensing (credit-based or user-based).