Radware’s report, “The Internet of Agents: The Next Threat Surface,” explores cybersecurity risks associated with the rising use of agentic AI systems, particularly those powered by large language models (LLMs). Unlike traditional chatbots, these AI agents autonomously execute tasks and collaborate using protocols like Model Context Protocol (MCP) and Agent-to-Agent (A2A). This automation expands attack surfaces, creating complex access pathways to sensitive resources that current security measures struggle to manage. The report highlights emerging threats, including prompt injection, which can manipulate AI agents to exfiltrate data without user consent. Additionally, dark AI ecosystems lower crime barriers, allowing less experienced attackers to exploit vulnerabilities quickly. As autonomous AI agents become integral to business operations, organizations must adopt robust security frameworks, viewing these entities as privileged actors. The study urges businesses to enhance governance and security oversight to mitigate risks while leveraging the operational efficiencies these AI systems can provide.
Source link
