Organizations are spending more to account for widespread security operation center (SOC) challenges including growing security management complexity, increasing analyst salaries, security engineering and management outsourcing costs, yet are still dissatisfied with the outcomes, Ponemon Institute and FireEye reveal. Companies are also boosting investments in new SOC tools like Extended Detection and Response (XDR) and…

Academics at UCL and other institutions have collaborated to develop a machine learning tool that identifies new domains created to promote false information so that they can be stopped before fake news can be spread through social media and online channels. To counter the proliferation of false information it is important to move fast, before…

Enterprises of the future will be built on a foundation of artificial intelligence (AI), analytics, machine learning, deep learning and automation, that are central to solving business problems and driving innovation, Wipro finds. Most businesses consider AI to be critical to improve operational efficiency, reduce employee time on manual tasks, and enhance the employee and…

To close security gaps caused by rapidly changing digital ecosystems, organizations must adopt an integrated cloud-native security platform that incorporates artificial intelligence, automation, intelligence, threat detection and data analytics capabilities, according to 451 Research. Cloud-native security platforms are essential The report clearly defines how to create a scalable, adaptable, and agile security posture built for…

A desire to remain compliant with the European Union’s General Data Protection Regulation (GDPR) and other privacy laws has made HR leaders wary of any new technology that digs too deeply into employee emails. This is understandable, as GDPR non-compliance pay lead to stiff penalties. At the same time, new technologies are applying artificial intelligence…

Change is constant in cybersecurity — continual, rapid, dynamic change. It’s impossible to maintain an effective defensive posture without constantly evolving. Security measures that worked in the past will not be effective today, and today’s security controls will not be effective tomorrow. Many factors contribute to this rapid pace of change. Attacks are on the…

Artificial intelligence – more specifically, the machine learning (ML) subset of AI – has a number of privacy problems. Not only does ML require vast amounts of data for the training process, but the derived system is also provided with access to even greater volumes of data as part of the inference processing while in…

Security, privacy and ethics are low-priority issues for developers when modeling their machine learning solutions, according to O’Reilly. Major issues Security is the most serious blind spot. Nearly three-quarters (73 per cent) of respondents indicated they don’t check for security vulnerabilities during model building. More than half (59 per cent) of organizations also don’t consider…