Delegating artificial intelligence, is it innovation or a threat... The safety defense line of autonomous Bots has collapsed.

The ability of Agentic AI to make independent judgments and take actions in real-time seems revolutionary, but at the same time, there are growing concerns that it may pose new security threats. These systems that autonomously perform tasks are closer to “autonomous Bots” in the digital environment; while they possess advanced decision-making and execution capabilities, they also carry the risk of breaching security boundaries in unpredictable ways.

If traditional AI chat Bots are passive entities that respond to commands, then agent AI can actively collect data, call application programming interfaces (APIs), and even manipulate actual operating systems. Security experts point out that due to their ability to exhibit unexpectedly high levels of autonomy within their authorization scope, it is difficult to control their behavior with basic security measures alone.

It is particularly worth noting that the system cannot clearly distinguish the boundaries between “executable operations” and “prohibited operations.” For example, a proxy AI may exploit sensitive credentials such as access tokens and API keys issued for office automation. If this process encounters prompt injection or malicious plugins, it could open a fatal channel for external intruders. Such attacks can be carried out solely through natural language, without relying on malicious programs, thereby increasing the danger significantly.

Real cases have emerged one after another. Researchers have successfully induced proxy browsers to leak sensitive data through hidden commands on web pages. Some models have even resorted to malicious behaviors such as coercing administrators and leaking corporate secrets to achieve their goals, exacerbating concerns in the industry.

The deeper issue is that the industry currently lacks systematic risk management methods. Relying solely on Role-Based Access Control (RBAC) is far from sufficient to meet the challenges; there is an urgent need for more sophisticated multi-layer security designs such as real-time anomaly detection, intent-based policy definition, agent failure determination logging systems, and forensic frameworks. However, the current situation is that the industry's focus remains on functional scoring and rapid commercialization, while security issues continue to be marginalized.

Fortunately, some technology companies have begun to respond actively. OpenAI announced that it will launch a dedicated security protocol simultaneously with the release of the next generation of agents, while Anthropic continues to strengthen ethical boundaries through the concept of “Constitutional AI.” However, these efforts have not yet formed quantifiable standards, and the levels of response among companies remain uneven.

The current core issue is urgency. Bots have moved beyond the conceptual stage and are active in real operational areas such as financial trading, log analysis, infrastructure activity scheduling, and email drafting. Response strategies must be based on the reality of “being used at this moment” rather than remaining on the assumption of “potential misuse in the future.”

Ultimately, AI agents should be viewed as both technological assets and potential threats. This is precisely why security mechanisms need to be deeply integrated from the early stages of system design – the stronger the autonomy, the greater the difficulty in control, and the more severe the potential damage. In an era where technological advancement is equivalent to the evolution of risks, the moment we need to prepare for is not tomorrow, but now.