machine learning security

CTEM-1-KrishnaG-CEO

Continuous Threat and Exposure Management: An Exhaustive Exploration

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In an era of rapid technological change, cyber risk remains one of the foremost concerns for organisations. Traditional point-in-time security assessments—such as annual penetration tests or quarterly vulnerability scans—fail to keep pace with the dynamic threat landscape, leaving enterprises exposed to novel attack vectors. Continuous Threat and Exposure Management (CTEM) has emerged as a holistic framework that consolidates multiple security disciplines into an ongoing lifecycle, enabling organisations to detect, prioritise and remediate risks in real time.

Secure-GenAI-KrishnaG-CEO

GenAI: Security Teams Demand Expertise-Driven Solutions

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Generative AI (GenAI) refers to a subset of artificial intelligence technologies designed to create new content, such as text, images, videos, and even code, based on patterns and data fed into it. Unlike traditional AI systems that rely on predefined algorithms and data sets, GenAI models learn from vast amounts of data and can generate original outputs that resemble human-created content. These outputs can range from realistic-looking deepfakes to sophisticated malware and phishing schemes, making GenAI a powerful tool for both cyber defenders and attackers.

In the context of cybersecurity, GenAI’s potential is vast. It can be utilised for automating threat detection, creating advanced defence mechanisms, and developing incident response strategies. However, the same capabilities that make GenAI a valuable asset to security teams also make it an attractive tool for cybercriminals, who can use it to create new, more complex forms of cyber attacks.