From writing assistance to intelligent summarization, generative AI has already transformed the way businesses work. But we’re now entering a new phase where AI doesn’t just generate content, but takes independent action on our behalf.
This next evolution is called ‘agentic AI’, and it’s moving fast. Amazon recently announced a dedicated R&D group focused on agentic systems. OpenAI is advancing its Codex Agent SDK to build more capable AI “workers.” And a growing number of businesses are actively experimenting with autonomous agents to handle everything from code generation to system orchestration.
While the potential is significant, so are the risks. These new systems bring fresh challenges for security teams, from unpredictable behavior and decision-making to new forms of supply chain exposure.
Here are five things every security leader needs to know right now.
1. Agentic AI is moving from research to reality
Unlike traditional generative AI, which responds to single prompts, agentic AI systems operate more autonomously, often over longer durations and with less human supervision. They can make decisions, learn from feedback, and complete multi-step tasks using reasoning and planning capabilities.
Some agents even have memory and goal-setting functions, enabling them to adapt to changing conditions and take initiative. This has huge implications for productivity but also opens the door to a new class of operational and security risks.
According to Forrester(1), agentic AI represents a shift “from words to actions,” with agents poised to become embedded across knowledge work, development, cloud operations, and customer-facing systems. Security teams must now consider not just what AI is generating, but what it’s doing.
2. Emerging use cases span development, robotics, and IT automation
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