Artificial Intelligence

Vulnerabilities

Issued by: Help Net Security

Intelligent processes and tech increase enterprises’ competitiveness

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…

Cloud Security

Issued by: Help Net Security

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…

Vulnerabilities

Issued by: Help Net Security

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…

Network Security

Issued by: Help Net Security

Over 40% of privacy compliance technology will rely on artificial intelligence (AI) by 2023, up from 5% today, according to Gartner. The research was conducted online among 698 respondents in Brazil, Germany, India, the U.S. and the U.K. “Privacy laws, such as General Data Protection Regulation (GDPR), presented a compelling business case for privacy compliance…

Network Security

Issued by: Security 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…

Network Security

Issued by: Security Intelligence

Threat management, or cyber threat management, is a framework often used by cybersecurity professionals to manage the life cycle of a threat in an effort to identify and respond to it with speed and accuracy. The foundation of threat management is a seamless integration between people, process and technology to stay ahead of threats.

Network Security

Issued by: Help Net Security

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…

Network Security

Issued by: Help Net Security

AI development has major security, privacy and ethical blind spots

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…