Posts about Prompt Injection

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.

Learn how to map and defend against AI agent attacks using the MITRE ATLAS framework. Discover the agent kill chain and how to secure the AI runtime.

Build a unified AI security pipeline for PII detection, prompt injection, and content moderation. One middleware stack, one request lifecycle.

Move beyond regex and LLM-as-judge for prompt injection detection. Learn how ML classifiers provide sub-millisecond, accurate prompt injection defense at the gateway.

Discover how AI agents reading Jira tickets, GitHub PRs, and internal docs can be exploited via indirect prompt injection, and how to secure developer workflows.

Discover how prompt mines cause 0-click data corruption in Salesforce Einstein and learn how to secure your CRM's AI agents against novel injection threats.

As AI agents increasingly rely on third-party plugins and MCP tools, the attack surface expands exponentially. Learn how to secure your AI ecosystem against prompt injection, tool poisoning, and malicious execution.

Explore the expanding attack surface of multimodal LLMs and learn how gateway-level inspection protects AI pipelines against visual prompt injection, malicious documents, and audio threats.

Learn how the Model Context Protocol (MCP) exposes AI agents to indirect prompt injection and tool poisoning, and how to secure your integrations using an AI Gateway.

Explore the technical reasons why AI safety classifiers fail in production, from training overfit to adversarial blind spots, and learn how attackers bypass LLM guardrails.

Cataloging the 0-click attack pattern across AI agents—how untrusted content triggers autonomous actions leading to data theft or RCE, and how to defend against it at the gateway layer.

Learn how to build robust, adversarial-resistant AI guardrails by understanding common bypass techniques and red teaming strategies for production LLM classifiers.

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).