In late 2022, the introduction of ChatGPT marked the rise of AI as a handy chatbot, but the landscape has evolved significantly with Agentic AI, capable of performing multi-step tasks, coding autonomously, and making decisions. This advancement poses substantial security risks, as demonstrated by vulnerabilities in major software like Microsoft Copilot and Salesforce’s Slack tool, which were exploited to exfiltrate data.
In 2025, protocols like Anthropic’s Model Context Protocol (MCP) emerged to address AI agent capabilities, yet they raised concerns about issues like prompt injection and permission misuse. As AI agents are integrated into various enterprise workflows—enhancing productivity by up to 79%—the need for robust governance and risk management becomes critical. Organizations must implement pilot programs, control agent autonomy, and train teams on secure usage patterns. Embracing AI agents as core infrastructure is imperative for maximizing benefits while mitigating risks in today’s rapidly evolving tech landscape.
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