Can your SOC detect and stop advanced threats before damage is done?
OpenText Core Threat Detection and Response
Empower your security operations center (SOC) to cut through the noise. Proactively find and mitigate advanced persistent threats.
Point of view
Have confidence that your SOC team is catching advanced threats faster and with greater accuracy
What can OpenText Core Threat Detection and Response do for your SOC?
Detection
Proactively identify behavioral risk
Detect insider threats and advanced attacks before they do harm—minimizing business disruptions and protecting sensitive data and IP.
Focus
Streamline threat hunting
Say goodbye to alert fatigue! Focus on the most pressing risks with AI-driven alerts. Automate repetitive, time-consuming detection tasks to save time and resources.
Adaptability
Adapt to evolving threats
Automatically adapt to changes in your threat landscape with AI-powered anomaly detection. Advanced persistent threats evade traditional security measures through changing tactics but can’t hide from anomaly detection.
Compliance
Support compliance initiatives
Reduce the risk of fines and reputational damage from compliance violations by detecting abnormal behavior related to credential misuse or other advanced tactics.
Get a complimentary threat risk assessment from OpenText.
Frequently asked questions
The solution uses unsupervised behavioral analytics to baseline every user and device across Defender for Endpoint and Entra ID telemetry , then flags even slight drift. Peer-group context surfaces malicious, negligent, or compromised insiders early—before privilege abuse or data theft can unfold.
Patented ML pipelines build multi-dimensional behavioral baselines for every entity and update continuously. This adaptive AI uncovers zero-day TTPs, and low-noise anomalies missed by signatures, rules, or SIEMs, delivering higher-fidelity detections with almost no tuning.
SaaS onboarding through native Microsoft APIs is agentless and fast. Point to your tenants, backfill 30 days of history, and actionable detections appear within hours. Full behavioral maturity lands after about two weeks, giving SOCs insight long before traditional rule tuning finishes.
Integrated risk scoring suppresses benign anomalies, clusters related indicators and elevates only high-impact events. The result: up to 90 percent fewer false positives, drastically reduced alert fatigue, and analysts who can focus energy on genuine threats instead of drowning in noise.
Online learning refreshes baselines daily, automatically absorbing role changes, shift rotations, mergers, seasonal peaks, and travel patterns. Detection precision remains tight without rule rewrites, keeping insider-threat coverage accurate as the business and its workforce evolve over time.
Every alert is tagged with ATT&CK tactic, technique, and step; an LLM-generated narrative links precursor activity to follow-on actions. Analysts know their exact kill-chain position, prior context, and recommended next moves, shortening triage and speeding containment.