Unsupervised Learning

A Conversation with Patrick Duffy from Material Security


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➡ Secure what your business is made of with Martial Security: 
https://material.security/

In this episode, I speak with Patrick Duffy from Material Security about modern approaches to email and cloud workspace security—especially how to prevent and contain attacks across platforms like Google Workspace and Microsoft 365.

We talk about:

• Proactive Security for Email and Cloud Platforms
How Material goes beyond traditional detection by locking down high-risk documents and inboxes preemptively—using signals like time, access patterns, content sensitivity, and anomalous user behavior.

• Real-World Threats and Lateral Movement
What the team is seeing in the wild—from phishing and brute-force attacks to internal data oversharing—and how attackers are increasingly moving laterally through cloud ecosystems using a single set of compromised credentials.

• Customizable, Context-Aware Response Workflows
How Material helps teams right-size their responses based on risk appetite, enabling fine-grained actions like MFA prompts, access revocation, or full session shutdowns—triggered by dynamic, multi-signal rule sets.

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Chapters:

00:00 - Welcome & High-Level Overview of Material Security
02:04 - Common Threats: Phishing and Lateral Movement in Cloud Office
05:30 - Access Control in Collaborative Workspaces (2FA, Just-in-Time, Aging Content)
08:43 - Connecting Signals: From Login to Exfiltration via Rule Automation
12:25 - Real-World Scenario: Suspicious Login and Automated Response
15:08 - Rules, Templates, and Customer Customization at Onboarding
18:46 - Accidental Risk: Sensitive Document Sharing and Exposure
21:04 - Security Misconfigurations and Internal Abuse Cases
23:43 - Full Control Points: IP, Behavior, Classification, Sharing Patterns
27:50 - Integrations, Notifications, and Real-Time Security Team Coordination
31:13 - Lateral Movement: How Attacks Spread Across the Workspace
34:25 - Use Cases Involving Google Gemini and AI Exposure Risks
36:36 - Upcoming Features: Deeper Remediation and Contextual Integration
39:30 - Closing Thoughts and Where to Learn More

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Unsupervised LearningBy Daniel Miessler

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