Nine AI Security Tools to Counter Prompt Injection and Data Leakage in 2026

Prompt injection and sensitive data leakage remain the two most critical vulnerabilities affecting enterprise large language model deployments, according to the OWASP Top 10 for LLM Applications. Unlike traditional web application firewalls, AI security tools must handle unstructured natural language where instructions and data share the same execution context, making semantic manipulation harder to detect. A defense-in-depth approach combining runtime inspection, data loss prevention, gateway controls, and pre-deployment red teaming is recommended to address these risks. Tools such as Bifrost, Lakera Guard, Protect AI LLM Guard, and AWS Bedrock Guardrails offer runtime filtering, while Promptfoo and NVIDIA Garak automate adversarial vulnerability testing before deployment. Bifrost, an open-source AI gateway built by Maxim AI, is highlighted as a leading enterprise option for its unified traffic routing, dual-stage guardrails, and secrets detection capabilities.
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