Recent advancements in AI are rapidly transforming software development, yet security measures lag behind. A significant wake-up call came from Oligo Security, which revealed ShadowMQ vulnerabilities in major AI inference frameworks like Meta’s Llama and Nvidia’s TensorRT-LLM. These flaws, stemming from insecure deserialization with ZeroMQ, allow remote code execution (RCE) and threaten enterprise security.
A critical risk involves the Model Context Protocol (MCP), now integral for AI tools. Attackers can exploit compromised MCP connections to gain elevated privileges and conduct data exfiltration undetected. Traditional security tools, such as SAST and DAST, are inadequate against these emerging threats due to their outdated assumptions.
PointGuard AI addresses these challenges with enhanced visibility into MCP traffic, real-time defenses against RCE attacks, and supply chain security measures. As organizations embrace AI, PointGuard facilitates innovation while ensuring robust security, crucial as attacks become more sophisticated moving into 2026.
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