What are the next steps for security leaders in this new age of frontier AI? We answer the top 10 questions customers are asking.

The post Frontier AI and the Future of Defense: Your Top Questions Answered appeared first on Unit 42.

Unit 42 research on multi-agent AI systems on Amazon Bedrock reveals new attack surfaces and prompt injection risks. Learn how to secure your AI applications.

The post When an Attacker Meets a Group of Agents: Navigating Amazon Bedrock's Multi-Agent Applications appeared first on Unit 42.

Unit 42 uncovers a "double agent" flaw in Google Cloud's Vertex AI, demonstrating how overprivileged AI agents can compromise cloud environments.

The post Double Agents: Exposing Security Blind Spots in GCP Vertex AI appeared first on Unit 42.

Unit 42 research reveals AI judges are vulnerable to stealthy prompt injection. Benign formatting symbols can bypass security controls.

The post Auditing the Gatekeepers: Fuzzing "AI Judges" to Bypass Security Controls appeared first on Unit 42.

Uncover real-world indirect prompt injection attacks and learn how adversaries weaponize hidden web content to exploit LLMs for high-impact fraud.

The post Fooling AI Agents: Web-Based Indirect Prompt Injection Observed in the Wild appeared first on Unit 42.

We discuss a novel AI-augmented attack method where malicious webpages use LLM services to generate dynamic code in real-time within a browser.

The post The Next Frontier of Runtime Assembly Attacks: Leveraging LLMs to Generate Phishing JavaScript in Real Time appeared first on Unit 42.

Model Context Protocol connects LLM apps to external data sources or tools. We examine its security implications through various attack vectors.

The post New Prompt Injection Attack Vectors Through MCP Sampling appeared first on Unit 42.

The line between research tool and threat creation engine is thin. We examine the capabilities of WormGPT 4 and KawaiiGPT, two malicious LLMs.

The post The Dual-Use Dilemma of AI: Malicious LLMs appeared first on Unit 42.