SentryPort Technologies Predict. Protect. Prevent.

Department of Homeland Security    DHS Threat Advisory
ELEVATED - Significant Risk of Terrorist Attacks

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What is SRM?
Security Resource Management™ (SRM) is an information system process and technology strategy for collecting, filtering, analyzing, correlating, distributing, storing and effectively utilizing highly relevant, security-centric events in real time from large quantities of disparate system data.

The purpose of SRM is to predict, protect and prevent security breaches by using an active intelligence platform positioned to examine all of an organization’s security monitoring inputs at the enterprise level and relaying only the important items to the relevant individuals and/or systems, allowing these individuals and systems to respond immediately and effectively to key events.

SRM analyzes real time and historical data stemming from operational activities, by interfacing with: internal data repositories (including but not limited to systems for Enterprise Resource Planning (ERP), Human Resource (HR) Administration, Logistics Control, and Identity Management); direct data feeds from physical security management devices (including but not limited to access control readers, intrusion detection sensors, environmental control monitors, and Radio Frequency Identification Tracking (RFID) tags); mobile security devices and mobile information systems, both present and future (for example: handheld biometric devices, border control systems, handheld FR devices, metal detectors, ID verification); Information Technology (IT) security processes (such as methods for network sign-on, identity management, incident and intrusion detection and malicious attack prevention); and any other security devices or security systems that can transmit meaningful streams of numeric data .

Security Resource Management (SRM) analytics comprise all programming that analyzes an enterprise’s security data and presents it so that preemptive decisions can be made by security and business managers. These analytics must be proactive as well as forensic and can be used to predict risk events as well as offering post-mortem guidance.


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