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Category: Real Time Threat Detection

AI for IT operations, AI network security, anomaly detection algorithms, Global Security News, graph theory cybersecurity, graph-based anomaly detection, IPFIX graph analytics, lateral movement detection, machine learning network monitoring, ML-driven network insights, network anomaly detection, network behavior analysis, network data relationships, network performance optimization, network topology modeling, Real Time Threat Detection, relational anomaly detection, Security, Security Bloggers Network

Tech Talk- AI Engine: A look at Transformative AI for Deep Insight into Anomalous Traffic

Graph-based anomaly detection transforms how network operators uncover threats and service issues by providing a deeper, relationship-driven understanding of all network activity traversing the eco-system. Unlike traditional methods that analyze isolated data points or rely on predefined rules, a graph-based approach leverages AI, ML, and graph theory to map and analyze the intricate relationships between…

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Cybersecurity Risk Management, EU Product Liability Directive (PLD), Europe, European Commission Amendments, Global Security News, Real Time Threat Detection, Security Bloggers Network, Software Compliance EU, Software Defects and Compensation, Software Security Liability, Zero-Day Exploits Liability

How the EU Product Liability Directive (EU PLD) is Changing Software Security | Contrast Security

Companies that sell software that can be used or downloaded by anyone in the European Union are facing a major new liability. Late last year, the European Commission finalized fundamental changes to the EU Product Liability Directive (PLD) — changes that have far-reaching ramifications. While the changes won’t apply broadly until 2026, they will likely…

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