Threat detection identifies suspicious activity early, limiting attacker dwell time and damage when logs, alerts, and response procedures are maintained.
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Threat detection is the defensive process of finding signs that an attacker may be present or attempting to gain access. In a threat model, it is a monitoring control that uses endpoint, identity, network, application, and cloud telemetry—often enriched with threat intelligence—to identify suspicious behavior, such as credential misuse, unexpected privilege changes, or lateral movement. Its purpose is to reduce the time an attacker can operate and limit the scope of an incident; missing logs, evasive activity, and unmonitored assets can leave important attacks unseen.
The most relevant practice is to design detections around credible attack paths and the organization’s highest-value systems, then protect and retain the logs needed to investigate them. Detections should be tested against realistic activity, tuned to reduce false positives, and linked to clear triage and containment actions. Alert volume, poor data quality, or unvalidated rules can overwhelm analysts and delay response, so coverage and detection effectiveness should be reviewed as systems and attacker behavior change.
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Google Cloud incorporates key Wiz capabilities into an agentic defense platform to automate threat detection and remediation against AI attacks.
"Shield-6G" will combine AI threat detection, digital twins, honeypots, and more, to help carriers protect 6G networks against the threats of tomorrow.
This acquisition will bring Onum's real-time data pipeline to CrowdStrike's Falcon Next-Gen SIEM platform to deliver autonomous threat detection capabilities.
The deal will combine Securonix's SIEM platform with ThreatQuotient's threat detection and incident response (TDIR) offering to build an all-in-one security operations stack.
AI is increasingly embedded into threat detection and response tools, but hallucinations can lead to false positive and inaccurate guidance. The AI-associated risk can't be completely eradicated, but SecOps teams can take steps to at least limit the effects.
AI transforms secure access service edge (SASE) deployments, automating security policies and threat detection while coaching users on data protection.
Google Unified Security brings together threat detection, AI-powered security, secure browser features, and Mandiant services, the company said at its Cloud Next conference.
Cortex Cloud integrates Prisma Cloud with CDR to provide a consolidated security posture management and real-time threat detection and remediation.
The cybersecurity artificial intelligence (AI) model and agent will help organizations improve threat detection and incident response.
By staying vigilant, agile, and prepared, organizations can turn TDIR from a defensive strategy into a proactive enabler of security and operational excellence.
Adaptive Shield is the third security posture management provider the company has acquired in the last 14 months as identity-based attacks continue to rise.
Application security teams from Fortune 500 companies are already using Noma's life cycle platform, which offers organizations data and AI supply chain security, AI security posture management, and AI threat detection and response.
Sophos CEO Joe Levy says $859 million deal to acquire SecureWorks from majority owner Dell Technologies will put the Taegis platform — with network detection and response, vulnerability detection and response, and identity threat detection and response capabilities — at the core.
Threat detection tools yield too many false positives, security pros say, leading to burnout and resentment.
By enhancing threat detection, enabling real-time risk assessment, and providing predictive insights, AI is empowering organizations to build more robust defenses against cyber threats.
By enhancing threat detection, enabling real-time risk assessment, and providing predictive insights, AI is empowering organizations to build more robust defenses against cyber threats.
The guidance is part of a coordinated, global effort to eradicate living-off-the-land techniques used against critical infrastructure.
The industry is evolving from one of conventional threat detection toward a strategy that emphasizes context and preempts user behavior.
The collaboration focuses on helping security teams detect and address cloud threats more effectively.