In terms of cybersecurity, agentic artificial intelligence is emerging as a transformative force that is fundamentally transforming the way digital threats are perceived and handled. It is important to note that, unlike conventional artificial intelligence systems that typically operate within predefined parameters, agentic AI systems can make autonomous decisions by interacting dynamically with digital tools, complex environments, other AI agents, and even sensitive data sets.
There is a new paradigm emerging in which AI is not only supporting decision-making but also initiating and executing actions independently in pursuit of achieving its objective in this shift. As the evolution of cybersecurity brings with it significant opportunities for innovation, such as automated threat detection, intelligent incident response, and adaptive defence strategies, it also poses some of the most challenging challenges.
As much as agentic AI is powerful for defenders, the same capabilities can be exploited by adversaries as well.
If autonomous agents are compromised or misaligned with their targets, they can act at scale in a very fast and unpredictable manner, making traditional defence mechanisms inadequate. As organisations increasingly implement agentic AI into their operations, enterprises must adopt a dual-security posture.
If autonomous agents are compromised or misaligned with their targets, they can act at scale in a very fast and unpredictable manner, making traditional defence mechanisms inadequate. As organisations increasingly implement agentic AI into their operations, enterprises must adopt a dual-security posture.
They need to take advantage of the strengths of agentic AI to enhance their securit
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