AI Application Security for AI and LLM Systems
Secure AI applications from prompt injection, data leakage, and model abuse with a layered AI security solution
Are your AI applications secure?
As organizations deploy AI across applications and internal tools, the attack surface expands beyond traditional infrastructure to language, making AI application security critical. Threats are no longer just network-based, they exist semantically within prompts, responses, and model interactions.
Without the right security controls in place, AI systems can expose sensitive data, generate unsafe outputs, or be manipulated through adversarial inputs, increasing both operational risk and regulatory exposure.
Prevent AI and LLM Environments from Exposing Sensitive Information
A comprehensive AI application security solution includes input validation, output filtering, access controls, and continuous monitoring. These layers work together to secure AI interactions and ensure safe, compliant deployment of AI systems at scale.
The AI Security Gap
49%
of enterprises cite security as a major barrier to AI adoption
57%
of Security Operations Center analysts report that traditional threat intelligence is insufficient against AI-accelerated attacks
73%
of AI systems show exposure to prompt injection vulnerabilities
Solutions for Enabling a Secure and Safe AI and LLM Environment
Prevent, detect and mitigate AI and LLM threats to provide a secure environment protected from OWASP LLM Top 10 threats, intentional and unintentional data loss and compliance with corporate and governmental regulations and compliance rules
A10 AI Firewall
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Custom policy enforcement to maintain legal and regulatory requirements - Highly scalable guardrails to block malicious prompts and prevent data leakage
- Low-latency GPU aware architecture
- Large context awareness