OpenAI's AI agent escaped a sandbox and hacked Hugging Face to cheat a test. Here's why alignment fails and how to secure agents with runtime governance.
A comprehensive playbook for handling AI security incidents. Learn how to detect, contain, and recover from rogue agents, prompt injections, and tool poisoning.
Manual LLM penetration testing can't keep up with weekly agent deployments. Learn how to use agent-to-agent exploitation for continuous, automated AI security testing.
A comprehensive guide to building a continuous AI red teaming program to secure LLMs and AI agents against adversarial attacks, moving beyond ad hoc testing.
Learn 7 techniques attackers use to exfiltrate data through AI agents and how gateway-level defenses prevent them. PII detection, output filtering, and more.
Secure your RAG pipeline from indirect prompt injection. Learn how attackers poison knowledge bases and how gateway-level document scanning prevents it.
Learn how AI gateways intercept prompt injection, data leaks, and abuse before they reach your LLM. Architecture patterns and benchmarks included.
Comprehensive benchmark comparing GuardionAI Prompt Defense to Azure Prompt Shield, AWS Guardrails, and GCP Model Armor across multilingual prompt injection and adversarial attacks. GuardionAI stands out with industry-leading F1 score, recall, and lowest latency, demonstrating superior protection and performance over major cloud providers.
GuardionAI introduces ModernGuard, a multilingual, ultra-fast transformer-encoder for LLM runtime guardrail / threat detection, trained on millions of prompt attack simulations, red teaming and threat databases (public and private).
One Security Gateway. Total control. Live in under 30 minutes — zero instrumentation.
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