As the federal government increasingly relies on artificial intelligence to drive decision-making and operations, a growing concern has emerged: the risk of AI systems being compromised by malicious actors. The latest threat vector is RAG, or Resource Access Gateway, a critical component of many AI-driven data workflows that’s being targeted by hackers.
RAG is a powerful tool that enables secure access to sensitive data and AI models, allowing authorized personnel to tap into high-clearance systems and make informed decisions. However, as more agencies adopt RAG, the attack surface is expanding, making it a prime target for cyber adversaries. The US government’s own Office of Personnel Management (OPM) has confirmed that RAG systems have been compromised in the past, highlighting the vulnerability.
In recent years, the number of RAG-related incidents has skyrocketed, with the 2022 cybersecurity report from the General Services Administration (GSA) revealing a staggering 50% increase in RAG-related attacks. This alarming trend is largely driven by the growing reliance on cloud-based AI services, which provide convenient access to sensitive data but also expose it to increased security risks. As agencies continue to adopt cloud-based AI solutions, the need for robust RAG security measures has never been more pressing.