I utilize the advanced threat hunting feature. With advanced threat detection, I have a platform to analyze and dig into my logs. Recently, the innovation around advanced threat hunting is the introduction of AI called Security Copilot, which streamlines threat hunting and analysis. Previously, I had to use the query language KQL to analyze logs, but now, I can interact naturally with the AI, and it will write the query for me. Once the AI writes the query, I can run it, saving time for threat hunting and developing junior analyst skills in writing Kusto Query Language. Because Microsoft Defender for Business is a native solution to Microsoft 365, it has contributed to my organization's proactive defense strategies by saving time on integration. If I were to use a different security solution from another vendor, I would have to manage the integration costs. The integration also helps avoid siloed tools; using different security solutions would require a unified platform, which is not necessary with Microsoft. With the Microsoft XDR platform, I have endpoint security, cloud security, identity security, and email security all in one place, including Microsoft SIEM, which is now part of the Microsoft XDR platform. They introduce AI across these tools, reducing the hours analysts need to spend on detecting and responding to security threats. I assess the usefulness of built-in threat analytics in enhancing my cybersecurity strategies by considering the attack disruption feature in Microsoft Defender. It automatically neutralizes active alerts and incidents. If an attacker successfully penetrates my organization and moves laterally, the threat analytics can disrupt this attack. It looks at compromised entities and can revoke sessions, enforce password resets, disable compromised accounts, or isolate identities automatically based on the active threat analysis. During a recent penetration test, we utilized an automated tool and compromised certain accounts, and Microsoft Defender identified the lateral movement and neutralized the compromised accounts. Customizable security policies in Microsoft Defender for Business help me tailor protections to my needs by allowing me to write custom detection rules within the platform. I understand my organization better, including business processes and risks, which helps me build hypotheses about what to look for in my environment. By using KQL, I can execute those custom detection rules for better security detection. Even those who don't understand query language can still build custom detection rules and automation to respond to security threats quickly. Building automation playbooks allows me to execute specific actions swiftly before the analyst reviews everything, saving time in threat response.
