The study, titled “Agentic AI and the Quest for Artificial General Intelligence” published in Arxiv, marks a new era in the evolution of artificial intelligence. The authors suggest that Agentic AI systems offer much more autonomous, goal-oriented, and proactive structures compared to traditional generative AI models.
What is Agentic AI?
Agentic AI is a system that not only generates responses to perform specific tasks; At the same time, it refers to systems that can define goals, plan, and make decisions by analyzing their environment. These systems can, for example, create subtasks to achieve a goal, organize their resources accordingly, and optimize themselves by learning from mistakes in the process.
Relationship with AGI
The authors argue that such systems are closer to human-like cognitive abilities. Agentic AI’s capabilities such as planning, decision-making, and dealing with uncertainty position it as the pioneer of Artificial General Intelligence (AGI).
“Agentic AI is not just a system that mimics intelligence; a structure that can take the initiative for its own purposes.”
Ethics and Safety Debates
The high autonomy of agentic systems raises serious questions:
- How much can these systems be controlled?
- If he begins to set his own goals, will he move away from human surveillance?
- Are these systems friendly or a risk in cybersecurity?
What Does It Mean for Cyber Security?
Agentic AI has the potential to revolutionize areas such as threat detection, incident response, and threat intelligence, in particular. For example:
- It can not only detect incidents, but also create a step-by-step plan on how to intervene.
- It not only provides support to SOC teams, but can take action independently when necessary.
- It can reduce alarm fatigue by providing decision priority within high volumes of data.
Agentic AI is not just a technological innovation; At the same time, it is an approach that can transform security processes at the strategic level. As Infosec, we closely monitor this transformation and develop solutions on adaptive and responsible artificial intelligence architectures.
