Understanding how threat hunting differs from reactive security provides a deeper understanding of the role, while hinting at how it will evolve in the future.
AI-based security detection automates the analysis of large, complex data sets to uncover threats in real time. These systems not only flag potential risks but can also trigger automated response ...
Cyber attacks are growing smarter and faster. Hackers use advanced techniques to target businesses of all sizes. Traditional defenses often struggle to keep up, leaving networks and data at risk. If ...
Long gone are the days of only discovering the existence of cyber threats and deciding what to name each of them. Cyberthreats grow—not only in complexity but in frequency, and one of the things that ...
Peter Dunn is a seasoned technology and cybersecurity leader with over 25 years of experience driving digital transformation, AI integration and zero-trust initiatives across federal agencies and ...
The rapid evolution of digital environments has underscored the risks posed by insider threats—malicious actions initiated by authorised individuals that exploit internal access and trust. This field ...
Artificial intelligence and machine learning projects require a lot of complex data, which presents a unique cybersecurity risk. Security experts are not always included in the algorithm development ...
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