SOCs swap alert queues for AI-driven hypothesis engines
Security operations centres (SOCs) are shifting from human-led alert triage to agentic AI that can investigate signals in seconds, upending decades of queue-based workflows.
Source: The Hacker News · August 26, 2026 at 1:01 PM · AI-assisted report
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KUALA LUMPUR, 26 AUGUST 2026 —
Security operations centres (SOCs) are shifting from human-led alert triage to agentic AI that can investigate signals in seconds, upending decades of queue-based workflows.
Market Impact
Until now, SOCs have relied on analysts to sift through backlogs of alerts flagged by detection engines. Severity scores determined priority, but most alerts were never reviewed because human capacity could not keep pace with network telemetry volumes. Threat hunting offered an alternative—hypothesis-driven searches—but still hit the same ceiling: limited analyst time.
Agentic SOCs invert the model. Instead of queuing alerts for human review, embedded AI agents immediately validate detections, correlate events, and build evidence-based verdicts. They operate asynchronously and in parallel, removing the manual investigation step before a case reaches an analyst. According to Corelight, a provider of network detection and response (NDR) platforms, this approach scales continuous investigation without adding staff.
The shift also changes the starting point of security work. Traditional SOCs begin with “what was detected?” and assign priority scores. AI-driven SOCs begin with “what is the attacker doing?” and test hypotheses against raw network evidence. For example, an agent can pursue a weak signal, confirm or refute a hypothesis, and escalate only when evidence supports it—often faster than a human could triage the same case.
Corelight’s Open NDR Platform integrates high-fidelity network telemetry with multi-layered detection and AI-powered investigation across hybrid, cloud, and on-premises environments. The company argues that agentic triage reduces the attack surface by shortening the window between detection and decisive action.
For Malaysian businesses, the implications are immediate. Organisations that adopt agentic SOCs can handle higher alert volumes without proportional increases in security headcount, improving return on cybersecurity spending. Early adopters may also reduce dwell time for sophisticated threats that evade traditional rules-based detection.
Related: Corelight · Kuala Lumpur