Agentic AI: Ally or Enemy of Cybersecurity?

A new generation of systems is taking the evolution initiated with AI one step further: Agentic AI. This approach is based on agents capable of acting autonomously to achieve specific objectives. They can make real-time decisions and interact with different systems without constant human intervention. What happens to cybersecurity when AI stops being limited to answering queries and begins to act on its own?

Because the potential of agents is enormous. From automating complex processes to coordinating tasks across multiple platforms. But equally great are the challenges companies face with them.

A new surface of risk

Every technology that expands capabilities increases responsibilities. In this case, the possibility of executing autonomous actions generates obvious benefits for organizations, but it also means that Agentic AI creates new exposure scenarios.

Unlike traditional AI models, which operate within more limited frameworks, intelligent agents move freely, even executing processes or making decisions based on context. If these environments are not properly governed, any vulnerability has the potential to multiply its impact.

At the same time, cybercriminals are incorporating AI into their operations. Automation allows them to develop more sophisticated campaigns, adapt attacks in real time, generate more convincing fraudulent content, and significantly increase the scale of threats. In other words, the same technology that strengthens defensive capabilities can also enhance offensive ones.

Therefore, the implementation of Agentic AI must be accompanied by other considerations, especially how it is deployed, under what controls, and with what supervision mechanisms.

Agentic AI as a defense tool

In a sort of balancing act, Agentic AI also offers unprecedented opportunities to strengthen organizational security.

Cybersecurity teams face massive volumes of data, alerts, and events daily that are impossible to process manually. Intelligent agents can analyze large amounts of information in real time. Thus, they are able to detect anomalous behaviors, correlate seemingly isolated events, and prioritize incidents according to their level of risk.

This reduces detection and response times, two critical factors when it comes to minimizing the impact of an attack. In many cases, it is even possible to automate initial containment actions before a threat spreads through the infrastructure.

Predictive capability also plays a fundamental role. Thanks to continuous analysis of patterns and behaviors, it becomes possible to identify early risk signals and act before an actual breach occurs. The focus shifts from exclusively reacting to anticipating.

Security by design and AI governance

The adoption of Agentic AI requires a change in approach. It is no longer enough to incorporate controls once solutions are implemented. Security must be part of the design from the very beginning.

This means defining what actions agents can execute, what levels of access they will have, how their decisions will be audited, and what human supervision mechanisms will be in place. Autonomy must not be confused with lack of control.

Governance frameworks that allow risk management, regulatory compliance, and traceability of every action performed by intelligent systems are essential. As agents gain decision-making capacity, transparency becomes indispensable.

The human factor remains decisive. Technology can automate tasks and accelerate processes, but building a security culture still depends on people. Those who operate these systems must understand the benefits and risks associated with AI use. This is a key piece for organizations to responsibly harness the potential of this technology.

The final challenge: Building resilience

The emergence of Agentic AI marks a new chapter in technological evolution. As happened with the cloud, automation, or advanced analytics, the true differentiator will not be adopting the technology, but doing so strategically.

At Nubiral, we support companies in this process. We integrate AI, automation, and cybersecurity capabilities so that the incorporation of agents advances securely. Underestimating risks, in this case, means leaving a much broader surface of exposure than anticipated.

In the era of intelligent agents, the real challenge is achieving cyber resilience: the ability to anticipate, withstand, respond to, and recover from cybersecurity incidents without compromising business continuity.

Does your organization need to implement intelligent agents with the requirement of doing so reliably and with governance? We look forward to your contact to start helping you: Schedule your meeting!