SentinelOne Singularity

Artificial Intelligence

SentinelOne Singularity leverages artificial intelligence to autonomously detect, analyze, and respond to cyber threats in real time. AI continuously monitors endpoint behavior, identifies anomalies, and correlates threat patterns without manual input. This intelligence-driven approach enhances detection accuracy, accelerates decision-making, and significantly improves defense against complex, unknown, or fast-moving attacks across diverse computing environments.

Automated Remediation

SentinelOne Singularity features automated remediation to instantly neutralize threats by executing predefined corrective actions. Once malicious activity is detected, the system can rollback changes, kill processes, or quarantine devices without human intervention. This capability drastically reduces dwell time, limits damage, and ensures swift, consistent threat response across all protected endpoints in the organization.

Behavioral Analysis

Behavioral analysis in SentinelOne Singularity monitors system and user activity in real time to detect anomalies that indicate potential threats. By analyzing deviations from normal behaviors, it identifies malware, ransomware, and fileless attacks. This proactive detection method enhances the platform’s ability to uncover sophisticated threats that bypass traditional signature-based detection techniques.

Data Collection

SentinelOne Singularity continuously collects rich endpoint telemetry, including file activity, process behavior, network connections, and registry changes. This detailed data provides deep visibility into each endpoint, supporting investigation, detection, and response. Collected data is crucial for forensic analysis, compliance audits, and improving the overall accuracy of threat intelligence and machine learning models.

Device Control

SentinelOne Singularity includes device control to manage and restrict peripheral device access such as USBs and external drives. Administrators can enforce policies that prevent data leakage or malware introduction through unauthorized hardware. This feature enhances endpoint security by reducing insider threats and maintaining control over physical interfaces across distributed IT environments.

Endpoint Intelligence

SentinelOne Singularity delivers endpoint intelligence by aggregating and analyzing comprehensive endpoint data. It provides contextual insights into processes, user behavior, and system vulnerabilities. This intelligence enables faster threat detection, effective incident response, and improved security posture by helping teams understand attack vectors and prioritize actions based on real-time endpoint visibility.

Firewall

SentinelOne Singularity offers host-based firewall capabilities to monitor and manage network traffic to and from endpoints. Administrators can create granular rules to block malicious or unauthorized connections. This feature enhances endpoint protection by preventing lateral movement within networks and reducing exposure to external threats through controlled, policy-driven traffic filtering.

Incident Reporting

SentinelOne Singularity generates detailed incident reports that document threat detection, behavior analysis, and remediation steps. Reports include timelines, affected assets, and response actions, supporting compliance and audit readiness. This feature improves situational awareness, streamlines post-incident reviews, and helps security teams communicate findings clearly with stakeholders and regulatory bodies.

Machine Learning

Machine learning in SentinelOne Singularity enhances threat detection by identifying complex attack patterns using algorithms trained on vast datasets. It evolves over time, improving accuracy and reducing false positives. This capability allows the platform to recognize zero-day threats and adapt to new attack techniques without relying solely on predefined rules or signatures.

Malware Detection

Malware detection in SentinelOne Singularity combines static, dynamic, and behavioral analysis with AI to identify and block known and unknown threats. It detects a wide array of malware types, including ransomware, trojans, and rootkits. This multi-layered approach ensures real-time, proactive protection against both traditional and advanced cyber threats targeting endpoints.

Response Automation

SentinelOne Singularity includes response automation to execute remediation tasks such as isolating endpoints, stopping malicious processes, and rolling back system changes. These actions are triggered instantly upon threat detection. Automating responses improves reaction time, reduces manual errors, and ensures consistent and effective mitigation across the entire endpoint environment.

Rule-Based Detection

Rule-based detection in SentinelOne Singularity enables security teams to define custom rules for identifying threats based on specific indicators or behaviors. These rules can be tailored to organizational needs and threat landscapes. This feature adds flexibility to threat detection, complementing AI-driven analysis by allowing targeted, policy-based monitoring of critical systems and activities.

System Isolation

SentinelOne Singularity provides system isolation to immediately disconnect compromised devices from the network. This prevents the spread of threats while allowing forensic investigation and remediation to continue. Isolated endpoints remain under administrative control, ensuring containment without loss of visibility. This feature is essential for stopping attacks in progress and preserving operational integrity.

Threat Hunting

SentinelOne Singularity supports advanced threat hunting by allowing analysts to query historical and live endpoint data to uncover hidden threats. Using behavioral indicators, telemetry, and threat intelligence, teams can identify anomalies and potential breaches. This proactive capability improves detection of sophisticated attacks and enhances the organization’s overall threat awareness and readiness.

Threat Intelligence

SentinelOne Singularity integrates threat intelligence feeds and crowdsourced data to enhance real-time threat detection and context. This intelligence includes information on known malware, attacker tactics, and emerging vulnerabilities. By correlating endpoint activity with global threat data, the platform improves detection accuracy, enriches investigations, and supports faster, more informed response decisions.