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Security leaders adopted MDR and MSSP programs to gain continuous monitoring, response coordination, and clear ownership across vendors. The model works well when most risk sits on endpoints and the toolset is limited. It also helps new programs stand up 24 by 7 coverage without hiring a full team.
Today the picture looks different. Identity has become the primary attack surface. Environments span cloud, data platforms, SaaS, and remote work. Alert signal now lands across EDR, IdP, cloud, email, and business apps. Human only models struggle to investigate medium and low severity alerts at scale, and that is often where early evidence of compromise lives. Suppression and detection tuning can remove noise but also hide weak signals. Analyst variability adds drift and makes audits harder.
Prophet Security offers an agentic AI SOC platform that investigates at machine speed, follows expert reasoning, and shows every step. It adapts to your investigative procedures and business context on day one. The goal is broader coverage, faster and more consistent determinations, and a fit that does not require ripping out your stack.
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The value they provide include:
When they are a good choice:
These quotes recur in customer conversations and map to consistent pain patterns.
Cost is not always the primary driver, but it matters. Some teams pay for MDR and still staff internal triage for Medium and Low alerts. That double spend invites a review when outcomes do not match expectations.
A fundamental issue with outsourcing the SOC is the loss of context. No matter how experienced a provider is, they lack the organizational knowledge that gives security signals meaning. Without access to internal processes, change management details, or the nuances of how your systems are configured, even skilled analysts are forced to make decisions in the dark.
That missing context shows up everywhere: alerts get closed prematurely, correlations between identity and cloud activity go unnoticed, and legitimate anomalies are dismissed as noise. The provider may see the same telemetry, but not the business logic behind it.
Over time, that distance creates blind spots. New detections are held back because every additional signal risks more false positives for a team that doesn’t fully understand your environment. “Low” or “informational” alerts are ignored because the outsourced team can’t confidently interpret them without local knowledge.
Ultimately, context determines whether an alert is noise or an early warning. Outsourcing removes the people closest to that context who can connect subtle changes in behavior to actual risk.
Prophet AI delivers more accurate and complete investigations by autonomously correlating data across your EDR, Identity Provider (IdP), cloud, email, and SaaS environments, all while leveraging organizational context. This results in significant customer benefits: shorter dwell times, reduced exposure, faster response times, and fewer actions required.
The platform asks the probing questions a senior analyst would ask, in order, without drift. It avoids data entry errors and produces consistent close reasons that stand up to audit.
Customers shape investigations with feedback and through adding their own questions or playbooks. Prophet AI adapts to investigative procedures and business context from day zero. Feedback improves accuracy and trust over time.
Every step is visible. Leaders can review questions asked, evidence used, and how the conclusion was reached.
Integration quality matters more than quantity. Prophet AI fits into your workflows and pushes outcomes back into SIEM, case management, and collaboration tools. No rip and replace.
Request a demo of Prophet AI to see it in action.
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