Today, agentic AI has stepped into the spotlight. More intelligent and dynamic than its predecessors, this next-gen approach you take on more sophisticated security tasks, anticipate emerging threats, and automatically adjust defenses in real-time. This class of superior AI systems is designed to work independently, making decisions and taking actions to achieve specific goals with little to no mortal monitoring. The major difference is that agentic AI uses innovative logic, agility, and learning capabilities to freely explore difficult tasks rather than relying on existing AI’s human approval and guidance to make decisions.
It’s an astonishing step ahead, combining the power of large language models ( LLMs) and real-time data processing to act as a proactive “agent ” in dynamic environments without human intervention. But questions dwell. Does the AI take over full processes? And if so, was the lack of a individual in the loop cause sudden issues? For example, does an agentic Artificial stop or stop a legitimate business deal because the broker thinks it ’s fraud? Additionally, could the agent inadvertently create a risk that can be exploited?
Understanding the potential of agentic AI
For CISOs, agentic AI represents both a revolutionary opportunity and a strategic move. As digital threats grow in speed and intelligence, CISOs are pressured to maintain or improve their corporate endurance while managing resource constraints and/or worker burnout. That’s where agentic AI can make its mark – stepping in as a force multiplier, automating decision-making, adapting to evolving threats, and enabling CISOs to evolve from reactive defenders to architects of business-aligned security strategies.