Remove tag risk-based-approach
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Patch Tuesday Fixes Actively Exploited MOTW Vulnerability

eSecurity Planet

Regarding that flaw, Microsoft observed, “An attacker can craft a malicious file that would evade Mark of the Web (MOTW) defenses, resulting in a limited loss of integrity and availability of security features such as Protected View in Microsoft Office, which rely on MOTW tagging.” Prioritizing Fixes.

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How to Implement Microsegmentation

eSecurity Planet

Success in implementing microsegmentation for your organization means tagging traffic, servicing regular business communications, adapting to threats , and denying all other anomalies. . Approaches to microsegmentation. Fabric-Based Enforcement. The first approach is doubling your network fabric for microsegmentation.

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An inspirational week at Data Citizens ‘24: Collibra AI Governance is now live

Collibra

McDonald’s and Expleo tag teamed an insightful session, discussing how GenAI is being used to accelerate both customer and team member experiences. They also dove into why having a foundation in data governance has been a key to their success PRO TIP: Taking a data-centric approach to AI is going to save time, money and heartache.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

It might answer questions about local culture and geography, even personalizing them based on the passenger’s interests. It might suggest a restaurant based on preferences and current popularity. This multi-model approach uses multiple AI models together to combine their strengths and improve the overall output.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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How Machine Learning Can Accelerate and Improve the Accuracy of Sensitive Data Classification

Thales Cloud Protection & Licensing

Traditional approaches to data classification use manual tagging which is labor-intensive, error-prone, and not easily scalable. Traditional approaches to classification might use keywords like “DOB” and “fecha de nacimiento” to layer on context—but this is not easily scalable across different types of documents or global languages.

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Maximize your data dividends with active metadata

IBM Big Data Hub

However, as data volumes continue to grow, manual approaches to metadata management are sub-optimal and can result in missed opportunities. Suppose that a new data asset becomes available but remains hidden from your data consumers because of improper or inadequate tagging. Provide early indicators of data quality.