Security teams have spent years trying to detect threats faster. AI is changing the harder part: how much time defenders have left to act.
Advanced AI models can now help attackers discover vulnerabilities, generate exploit code, and move through weaknesses faster than traditional security processes were built to handle.
The challenge is no longer just finding another vulnerability or
AI is officially mainstream in security operations. According to Prophet Security's State of AI in Security Operations 2026 report (produced from ViB’s survey of 250+ cybersecurity pros), 40% of security teams now use AI daily. Another 56% are currently testing it out, and only 4% have no plans to adopt it.
For the teams already using AI, what is actually changing? Here are the ten biggest
The SOC we've always known was built around a model that guarantees most of the alert queue will never receive analyst review. There's never time. In a traditional SOC, the typical progression follows a well-known pattern: an alert arrives; a detection engine assigns a severity score. The issue then waits for a human to decide if it should escalate to an investigation.
Given the volume of
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