Why is Azure so hard to secure? In this episode of the Hunt Club Podcast, Tiffany Nip (Product Marketing) and Aakash Gupta (Product Management) from Vectra AI dive into the core challenges defenders face when securing Microsoft environments. From hybrid attack surfaces to hard-to-parse logs and identity blind spots, this discussion breaks down what’s broken—and what good coverage really looks like.
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00:00 – Intro & Guest Introduction
01:00 – Why Microsoft environments are tough to secure
01:46 – Siloed tools and attack surface blind spots
05:40 – Hybrid deployments & Azure log complexity
06:30 – Metadata inconsistencies in Azure
07:55 – Impact of hard-to-read identity data
09:22 – What “good coverage” really means
12:00 – 3 key takeaways for securing Azure
Learn more about Vectra AI Detections for Azure:
https://www.vectra.ai/blog/introducing-vectra-ai-threat-detection-and-response-for-azure-to-stop-hybrid-multi-cloud-attacks-fast
-- About Vectra AI --
Vectra AI, Inc. is the cybersecurity AI company that protects modern networks from modern attacks. When modern cyber attackers bypass existing controls, evade detection and gain access to customers’ data center, campus, remote work, identity, cloud, and IoT/OT environments, the Vectra AI Platform sees their every move, connects the dots in real-time, and stops them from becoming breaches. With 35 patents in AI security and the most vendor references in MITRE D3FEND, organizations worldwide rely on Vectra AI to see and stop attacks their other tools can’t. For more information, visit www.vectra.ai.