AI-Powered Customer Applications
Protect chatbots and AI assistants from prompt injection attacks that could expose sensitive data or provide unauthorized responses.
The only purpose-built solution to secure AI applications for homegrown GenAI. Prevent data leakage and mitigate AI cybersecurity threats with real-time machine learning defenses that seamlessly integrate into any hybrid cloud environment.
Launch GenAI-driven applications knowing you have proactive protection against AI security risks like prompt injection and reputational damage. Secure your brand while you innovate.
Maintain strict regulatory compliance and user trust. Our AI application security manages unique LLM threats so you can focus purely on business growth and digital transformation.
Consolidate AI threat protection with proven web application, API, and bot defenses through Imperva's unified WAAP platform, enabling single-pane-of-glass visibility and policy-as-a-service management.
Dynamically detects and neutralizes user inputs intended to manipulate AI behavior, ensuring your LLM acts only as intended while blocking jailbreaking attempts in real-time.
Unlike generic security tools, Imperva AI Application Security is engineered for the unique architecture of LLMs. It fills the critical gap at the interface where traditional WAFs miss AI security risks, protecting your proprietary models.
Reviews all AI responses before they reach users to stop unsafe content. It detects abusive patterns to prevent “runaway AI costs” and denial-of-service, ensuring your infrastructure remains efficient.
Analyzes model inputs and outputs to block, mask, or alert on accidental exposure of PII and sensitive data. It prevents system prompt leakage, keeping your generative AI security posture and intellectual property invisible to attackers.
AI Application Security operates as a SaaS reverse proxy positioned between your applications and Large Language Models, analyzing all inputs and outputs while preserving application performance. Every interaction is evaluated against multiple security guardrails with adaptive risk scoring for precise threat detection.
Protect chatbots and AI assistants from prompt injection attacks that could expose sensitive data or provide unauthorized responses.
Ensure AI applications meet strict data protection requirements and prevent costly regulatory violations from AI-related breaches.
Secure AI applications with seamless integration into existing cloud infrastructure without operational complexity.
AI Application Security refers to the specialized tools and processes used to secure AI applications and Large Language Models (LLMs) from unique threats. Unlike traditional network security, it focuses on preventing AI cybersecurity threats like prompt injection, model theft, and data leakage.
AI Application Security is not a traditional firewall, WAF, or network security solution. It’s purpose-built specifically to defend the LLM or GenAI powering your homegrown business applications, addressing the unique security gap at the application’s AI interface that legacy tools cannot protect.
By inspecting data after application-level modifications, AI Application Security has a unique vantage point for identifying malicious or noncompliant behavior with greater precision. This positioning provides more signals to filter, increasing security efficacy and enabling better protection against LLM threats.
Yes, AI Application Security supports any major LLM provider, whether third-party or self-hosted, ensuring flexible, environment-agnostic deployment with minimal integration effort.
Yes. Imperva AI Application Security allows you to keep sensitive data within specific geographic boundaries, helping you meet strict enterprise compliance requirements like GDPR, HIPAA, and SOC2.
No. AI Application Security is designed for seamless integration without operational overhead or performance trade-offs while maintaining enterprise-grade protection.
AI Application Security addresses five of the top 10 OWASP LLM threats including prompt injection, sensitive information disclosure, system prompt leakage, improper output handling, and unbounded consumption attacks.
AI Application Security integrates with just one line of code and works across any environment. You can establish security guardrails immediately with out-of-the-box policies.
Traditional security wasn’t designed for AI-specific threats like prompt injection, model tampering, or system prompt leakage. These unique attack vectors require purpose-built detection and prevention capabilities.