machine learning | Breaking Cybersecurity News | The Hacker News

Cybersecurity has been regarded as a necessity for all computer users, especially today when data breaches and malware attacks have become rampant. However, one of the more overlooked aspects of cybersecurity is the prevention of other forms of cybercrime, such as the spread of harmful content and predatory behavior. Most current discussions on cybersecurity revolve around organizations needing to protect customer data or for individual users to prevent their sensitive data from being intercepted. However, given the prevalence of toxic behavior, it's about time the cybersecurity community also gives internet safety, especially for children and younger users, its due attention. Israel-based startup L1ght aims to curb the spread of bad behavior online. It uses artificial intelligence (AI) and machine learning (ML) to detect harmful content, hate speech, bullying, and other predatory behavior in social networks, communication applications, and online video games. The firm

Looking for an automated malware analysis software? Something like a 1-click solution that doesn't require any installation or configuration…a platform that can scale up your research time… technology that can provide data-driven explanations… well, your search is over! Israeli cybersecurity and malware researchers today at Black Hat conference launch a revolutionary machine learning and artificial intelligence-powered malware researcher platform that aims to help users identify unknown malware samples before they strike. Dubbed SNDBOX , the free online automated malware analysis system allows anyone to upload a file and access its static, dynamic and network analysis in an easy-to-understand graphical interface. The loss due to malware attacks is reported to be more than $10 billion every year, and it's increasing. Despite the significant improvement of cyber security mechanisms, malware is still a powerful and effective tool used by hackers to compromise systems because of

As cloud technology evolves, so does the challenge of securing sensitive data. In a world where data duplication and sprawl are common, organizations face increased risks of non-compliance and unauthorized data breaches. Sentra's DSPM (Data Security Posture Management) emerges as a comprehensive solution, offering continuous discovery and accurate classification of sensitive data in the cloud. This informative webinar, " Securing Sensitive Data Starts with Discovery and Classification: SoFi's DSPM Story " unveils the success story of SoFi, a pioneering cloud-native financial services provider, and its journey with Sentra's DSPM. It explores the challenges and triumphs in securing cloud data and a roadmap to implementing effective DSPM strategies in your organization. Expert Panel: Aviv Zisso:  As Director of Customer Success at Sentra, Aviv brings deep insights into data security needs and solutions. Pritam H Mungse:  SoFi's Director of Product Security, Pr

Cyber security is a major challenge in today's world, as cyber attacks have become more automated and difficult to detect, where traditional cyber security practices and systems are no longer sufficient to protect businesses, governments, and other organizations. In past few years, Artificial Intelligence and Machine Learning had made a name for itself in the field of cyber security, helping IT and security professionals more efficiently and quickly identify risks and anticipate problems before they occur. The good news is that if you are a Windows 10 user, Microsoft will now offer you a machine learning based threat intelligence feature via its inbuilt Windows security service, which will improve the security capabilities available on Windows 10 devices. But, the bad news is that it is not free. The company is offering this "differentiated intelligence" feature on its newly added service to Windows 10, dubbed Windows Defender Advanced Threat Protection (WDAT