Agentic AI: New Security Approach Needed, Says SDxCentral

Organizations are making a costly mistake by allowing AI to operate without proper control. This mirrors past issues with cloud adoption, but with potentially greater consequences. Here's the thing: The evolution of AI has seen three distinct waves. The first involved predictive analytics, where security focused on protecting sensitive data. The second wave, generative AI, brought systems that produce natural language and content, making AI a strategic priority. However, many organizations treated all AI models the same, overlooking different security needs. What's interesting is that one-third of organizations still lack a process to assess the security of AI tools before deployment. And 34% cite data leaks from generative and agentic AI as a top cybersecurity risk. Now, the third wave, agentic AI, is fundamentally changing the threat landscape. This AI connects directly to business environments, often making decisions with limited human supervision. While its use is currently moderate, adoption is expected to surge. The bottom line is that missing governance and security guardrails are creating significant gaps that legacy security approaches cannot address.