Introduction
LLMs are entering cybersecurity at full speed. Some see them as copilots that make the journey safer, while others warn they could put the entire flight at risk. Advocates of Radware Link shared their perspectives on the role of LLMs, and their voices paint a picture that feels a lot like being on a plane in turbulent skies.
Autopilot and the Promise of Convenience
For many, the appeal is obvious. LLMs can take over repetitive SOC duties, such as ticket classification, alert correlation, and report drafting. Antonio Martinez, Chief Information Officer at Corpacero Colombia, said:
"The greatest opportunity for using LLMs, in my view, is the automation of repetitive incident handling. It allows teams to focus on strategic analysis instead of drowning in alerts."
Much like an aircraft’s autopilot on a clear day, the system keeps things steady and saves the pilot’s energy. Analysts are freed to focus on navigating the bigger picture.
We also heard this optimism from Gianluca Tranelli, Head of Information Security Office at Inarcassa:
"I see major opportunities for LLM in cybersecurity, especially in enhancing how we monitor and respond to threats."
Confidence in the Machine
Yet here lies the danger. Autopilot works so smoothly that pilots can grow complacent. Arian Mirena, Senior Network System Engineer at Cancom Managed Services GmbH, warned:
"There is a risk of overconfidence. Models can generate convincing but incorrect explanations, and people may take them at face value."
Trusting an autopilot blindly when turbulence hits can be disastrous. Trusting an LLM without validation can have the same effect during a live incident.
Adding another perspective, Haris Ishaq, Network Reliability Engineer at Hutchison 3G UK, emphasized:
"The biggest opportunity for using LLMs in cybersecurity is the speed and consistency they bring, but we must stay alert to avoid overdependence."
Catastrophe in Turbulence
What happens when the smooth flight suddenly shakes? Cyberattacks are the turbulence of our industry. Christian Vega, IT Infrastructure Specialist at Banco de Credito de Bolivia, pointed out:
"If sensitive data is fed into a model, we must be sure it is not leaked or reused outside our environment."
Here, the autopilot analogy reaches its limit. It is the human pilot, the experienced analyst, who must take back control to avoid catastrophe.
The Unexpected Role: Flight Attendant
But LLMs are not only autopilots. They can also be flight attendants in the cabin. They translate turbulence into calm words for passengers and guide the junior crew to act with confidence. In cybersecurity terms, LLMs can explain complex threats in business language for executives and coach less experienced analysts through investigation process.
This dual role, silent autopilot and supportive attendant, is where many Radware Link advocates see the real promise of LLMs.
Landing the Plane
So where do we land? LLMs are powerful, but they are not the captain. They can automate routine work, support analysts, and even explain risks in plain language. But ultimate responsibility, steering through turbulence and making critical calls, must remain with humans.
As Antonio Martinez, CIO at Corpacero Colombia, summed it up:
"The value is in complementing human expertise, not replacing it."