


Predictive Threat Exposure Management (PTEM) differs from standard CTEM and risk tools by being “threat-first.” While others prioritize lists, PTEM integrates real-time threat intelligence, controls, and business impact to enable actionable, pre-defined business decisions, moving organizations beyond simple exposure management.

Predictive Threat Exposure Management (PTEM) moves beyond severity-based patching by continuously analyzing real-time threats, existing controls, and business impact. It delivers a ranked, dollar-denominated list of material exposures, helping organizations prioritize remediation and define informed risk thresholds.



CVSS scores alone can’t tell security teams what actually matters. Dataminr’s 2026 Mid-Year Threat Landscape Report exposes why patching speed is losing to attacker speed, and why prioritizing by exploitability, exposure, and business impact is the only way to close that gap.

CyberAv3ngers, an Iran-linked threat actor tied to the IRGC Cyber-Electronic Command (CEC), has expanded its operational technology (OT) targeting from Rockwell Automation programmable logic controllers (PLCs) to Schneider Electric and Siemens devices, per a July CISA update. The campaign now includes uploads of malicious project files designed to override safety-critical logic, marking a serious escalation in critical infrastructure risk.



When county, state, federal and partner agencies are working off different pictures, response slows and risk compounds. Here’s how real-time intelligence closes that gap.

Predictive Threat Exposure Management (PTEM) shifts cybersecurity from asset-first to threat-first. Instead of relying on static inventory, PTEM continuously resolves active threat activity, existing compensating control effectiveness, and financial business impact to prioritize what truly matters.

Get a firsthand look at how our AI platform helps you know first, so you can act faster.