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How Agentic AI Will Shape the Autonomous SOC at Scale at ISC West 2026
SOCs, a relatively new phenomenon in the field of security, have seen steady, incremental improvements since their inception in the 90s. Fast forward to today, and the architecture of threat detection and response has dramatically outpaced the teams responsible for its oversight.
SOCs, a relatively new phenomenon in the field of security, have seen steady, incremental improvements since their inception in the 90s. Fast forward to today, and the architecture of threat detection and response has dramatically outpaced the teams responsible for its oversight. Alerts, generated from both physical and digital sources, overwhelm operators and demand an increasingly meaningful portion of their workday, regardless of their authenticity.
Agentic AI, characterized by its ability to learn and make decisions toward a long-term goal autonomously, represents a potentially enormous step forward for SOC efficiency. This technology will be front and center at ISC West 2026, not only as the newest development in a rapidly evolving, widely useful field, but also as a solution to the problems that scale has inflicted on SOC operators.
Agentic AI vs. AI co-pilots
Most common applications of AI involve a prompt-and-response arrangement. The AI is asked to do something, given specific input data to draw from, and generates an answer that a human can then interpret and act upon. In SOCs, this includes detecting suspicious activity in network data or video security feeds and escalating these findings to staff, who can then decide on next steps.
This system works and keeps humans in the loop, but it is fundamentally difficult to scale due to its reliance on confirmation. Ultimately, AI co-pilot alerts become another entry on a long list that operators have little time to address, creating more noise.
Agentic AI reasons through iteration, making decisions within defined parameters, including executing response workflows with integrated tools. Instead of generating an alert, agentic systems:
- Interpret multiple data sources and contexts to assign priority
- Execute actions that align with permissions and long-term goals
- Adapt their approach based on the success of past actions and feedback loops
Humans remain privy to the logic it develops and can always override commands, keeping them firmly in the loop and addressing the accountability and transparency concerns that come with automated decision-making.
At ISC West 2026, the focus will be on agentic AI. This advanced form of AI is an existing, practical solution to combat SOC fatigue and alleviate workforce strain, representing a significant evolution beyond traditional data analysis tools.
Developing a truly autonomous SOC
Presently, the burden of validation, investigation and escalation is placed on operators.
While optimizing workflows through dashboard improvements and integrated analytics has helped reduce the average ticket completion time, it has simply not kept pace with the monumental growth in IoT devices and security infrastructure at managed sites. Motorola Solutions will present an alternative solution at ISC West 2026 with its cloud-based SOC automation software Operator.
A machine making decisions at any level can be scary to some, but consider that in some industries, false positives can account for 63 to 99% of all security alerts. The presence of humans and the time wasted investigating both the false alert and its cause are purely detrimental to the overall efficiency and productivity of a SOC, not to mention the team's morale.
First-level automation in this context does not supplant human expertise; rather, it allows it to be directed where it can deliver the most value. In this model:
Anomalies across touch points (video, access controls and other security systems) are detected via the same processes they normally are
Agentic AI intercepts the alert, connecting multiple alarms to the same security incident and analyzing contextual data to determine risk and authenticity
If the incident is determined to be genuine, the AI then activates response workflows, such as alerting on-site staff for rapid containment
Thanks to how common false alarms are, these first-level tasks tend to pile up on operators' desks. Agentic AI provides a standardized, consistent triage system that can resolve non- and minor issues without needing direct human supervision, and without succumbing to fatigue.
As organizations scale, the variance of human performance becomes more noticeable. More sites and more devices either mean hiring more experienced analysts or piling the work onto existing teams, neither of which is ideal in the current recruitment drought.
Autonomous SOCs will be positioned as a solution that relieves cognitive burnout without expanding teams, turning analysts into supervisors whose primary first-level concern will be the oversight of AI agents like Operator.
What comes next for autonomous SOCs
Discussion at ISC West 2026 will move beyond hypotheticals and into the realm of practical autonomous solutions that coordinate at scale. This adaptive, resilient technology will form a new baseline security layer for SOCs.
Motorola Solutions will be exhibiting Operator and wider safety technologies at booth #14059 during ISC West 2026. Security leaders planning to attend are invited to book a consultation to discuss their key operational priorities and request a tailored demo of Motorola Solutions' safety and security ecosystem.
Click here to book a consultation.