MSSPs can’t treat human risk as a training checkbox. The real gap is what users do under pressure, and whether security teams can spot risky behavior before it turns into a compromise.
A threat-based detection model gives MSSPs a clearer way to show coverage, prioritize real risks across clients, and prove how protection improves over time.
Clients expect proof that systems can be restored quickly and operations can continue during an attack, pushing MSSPs to focus on recovery speed, automation, and real-world resilience.
New offering centers on execution, using AI and a unified control plane to reduce alert noise, speed response, and standardize security operations across environments.
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