SC-300: Entra ID Identity Protection : Complete Tutorial скачать в хорошем качестве

SC-300: Entra ID Identity Protection : Complete Tutorial

Entra ID Identity Protection is a Machine learning based service designed to safeguard your organization's digital assets by detecting, investigating, and responding to identity-based risks. It leverages advanced machine learning and intelligence to analyze user behavior and identify potential threats. Timestamps: 00:01 Introduction – Overview of Entra ID Protection and Zero Trust 00:16 Service Overview – Machine learning-based risk detection 00:40 Continuous Monitoring – Tracks user activity for anomalies 00:55 Risk Detection – Based on location, devices, and behavior 01:14 Heuristics – Establishes behavior baselines 01:29 Anomaly Detection – Flags deviation as risk 01:50 Statistics – Data analysis, trends, and risk scoring 02:57 Risk Assessment – Risk levels: Low, Medium, High 03:17 Automated Response – Conditional actions based on risk 04:01 Real-World Example – Detecting anomalies like VPN, location 04:29 Investigation & Remediation – Security team actions 04:48 Benefits Summary – Proactive defense and automation 05:28 Portal Setup Intro – Opening Entra portal and license need 06:03 Licensing Note – Entra ID P2 is required 06:31 Identity Protection Setup – Navigating to policy section 06:49 Sign-In Risk Policy – Configure conditions and user scope 07:26 Action Types – MFA or block based on risk level 07:55 Enforcement – Enable policy with hard control 08:11 ML Learning Phase – Detection requires usage time 08:43 Risk Simulation – Using Tor to simulate risky sign-in 09:23 Detection Triggered – Sign-in blocked as identity is hidden 10:03 Wrap-Up – Monitoring unusual authentication patterns 10:14 Conditional Access Tips – Customize policies per group/risk 10:42 Conclusion – Summary and call to subscribe How it Works Continuous Monitoring: Identity Protection constantly monitors user activities, looking for anomalies and suspicious behaviors. Risk Detection: It identifies potential risks based on various factors such as sign-in locations, device types, and user behavior. It uses a blend of Heuristics and Statistics Heuristics: Heuristics are used to establish baseline user behavior patterns based on factors like login locations, device types, and access times. Anomaly Detection: Any deviation from the established baseline is flagged as a potential anomaly. For instance, a login from an unusual geographic location or a sudden spike in failed login attempts can trigger a heuristic-based alert. Statistics Statistics play a crucial role in gathering and analyzing vast amounts of user data that includes login attempts, authentication failures, and other relevant information. Pattern Recognition: Statistical models identify patterns and trends in user behavior. For instance, statistical analysis can reveal if there's an increase in phishing attacks targeting specific user groups. Risk Scoring: Statistical methods are used to assign risk scores to users and sign-in events. This scoring is based on various factors, including the frequency of password changes, the number of compromised accounts within a group, and other relevant metrics. this Combined Approach of Heuristics and statistics plays crucial role in Enhanced Accuracy, Adaptive Learning and Risk Prioritization. Risk Assessment: The system assesses the detected risks and assigns a risk level (low, medium, high) to each user or sign-in event. Automated Response: Based on predefined policies, Identity Protection can automatically take actions such as blocking access, requiring multi-factor authentication, or sending alerts. Investigation and Remediation: Security teams can use detailed reports and insights provided by Identity Protection to investigate incidents and take corrective actions. Key Benefits Proactive Threat Detection: Identifies potential threats before they escalate into breaches. Reduced Risk of Identity Theft: Protects against credential theft and unauthorized access. Improved Security Posture: Strengthens overall security by providing a comprehensive view of identity risks. Automated Response: Saves time and resources by automating response actions. Enhanced Investigation Capabilities: Provides detailed insights for efficient threat investigation. Want to learn more or connect with us? Visit our official website: https://www.cloud360.co Subscribe for more tutorials:    / @cloud360_solutions   Connect with us on LinkedIn:   / cloud360-solutions   Like our page on Facebook: https://www.facebook.com/profile.php?... Stay updated and join the conversation!