Cybersecurity 101
Explore the Essentials of Cybersecurity and Learn About the Most Important Topics, Threats, and Trends with Our Extensive Learning Center.
Identity Security
Threat Intelligence
Most Viewed Cybersecurity Articles
Identity SecurityWhat is Identity Access Management (IAM)?
Identity Access Management (IAM) governs user access. Explore how IAM solutions can enhance security and compliance in your organization.
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CybersecurityWhat is Ransomware? Examples, Prevention & Detection
Explore the ransomware definition, history, and impact on businesses. Learn how ransomware spreads, its types, and ransomware prevention and detection best practices to keep your organization secure.
Read MoreCybersecurityWhat is Machine Learning (ML)?
Machine Learning (ML) enhances threat detection. Discover how ML algorithms improve cybersecurity defenses and automate responses.
Read MoreThreat IntelligenceWhat is an Advanced Persistent Threat (APT)?
Advanced Persistent Threats (APTs) pose long-term risks. Understand the tactics used by APTs and how to defend against them effectively.
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ServicesWhat is Penetration Testing (Pen Testing)?
Penetration testing identifies vulnerabilities before attackers do. Learn how to conduct effective penetration tests to strengthen your security.
Read MoreServicesWhat is Managed Threat Hunting?
Managed Threat Hunting is a proactive cybersecurity strategy that involves the proactive identification and mitigation of potential threats. It is a collaborative effort between an organization and a team of cybersecurity experts who use specialized tools and techniques to detect, investigate, and mitigate threats. This approach differs from traditional cybersecurity measures, which typically rely on reactive responses to incidents.
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XDRUnderstanding the Difference Between EDR, SIEM, SOAR, and XDR
EDR, SIEM, SOAR, and XDR are distinct security solutions: EDR focuses on endpoint detection, SIEM on log analysis, SOAR on automation, and XDR on extended detection and response, each addressing unique security challenges and requirements in the modern threat landscape.
Read MoreXDRWhat is XDR (Extended Detection and Response) | XDR Security
XDR or Extended Detection and Response (XDR) is a unified cybersecurity solution that detects, investigates, and responds to threats. Find out how it extends EDR's capabilities and enhances cloud security.
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ServicesMSP vs. MSSP: Key Differences and How to Choose the Right Partner
Understand the differences between MSP vs. MSSP. See why they both matter in advanced cyber security and how they detect and respond to various threats.
Read MoreCybersecurityDefense in Depth AI Cybersecurity: A Layered Protection Guide
Learn defense-in-depth cybersecurity with layered security controls across endpoints, identity, network, and cloud with SentinelOne's implementation guide.
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Cloud SecurityWhat is Cloud Forensics?
Learn the basics of cloud forensics and what it actually is. See how you can deepen investigations, trace threat origins, map out security incidents, and quarantine issues early.
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Data and AIAI in Cloud Security: Trends and Best Practices
AI in cloud security changes the way how you deal with emerging threats. Learn how to allocate resources better, optimize workflows, protect users, assets, and more
Read MoreData and AI9 AI Cybersecurity Trends to Watch in 2026
Learn about the top AI cybersecurity trends to watch out for in 2026. Stay protected and defend against the latest threats.
Read MoreServicesIncident Response Steps & Phases: NIST Framework Explained
Learn what incident response entails. Explore its key steps, phrases, and understand the NIST incident response lifecycle. Detect, contain, and mitigate cyber incidents fast.
Read MoreThreat IntelligenceCyber Threat Intelligence Lifecycle
Learn about the cyber threat intelligence lifecycle. Explore its different stages, how it works, and know how to implement it. See how SentinelOne can help.
Read MoreData and AIGenerative AI Security Policy Templates and Best Practices
Discover ready-to-use generative AI security policy templates and best practices that account for AI-specific security threats and regulation requirements.
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