Security News
Microsoft has introduced an AI-driven ransomware attack detection system for Microsoft Defender for Endpoint customers that complements existing cloud protection by evaluating risks and blocking actors at the perimeter. As human-operated ransomware attacks are characterized by a specific set of methods and behaviors, Microsoft believes that they can use a data-driven AI approach to detect these types of attacks.
In 2021, over 59 million Americans said they lost money as a result of phone scams, with an average reported loss of $502. "Fraud is a major consideration in the telecom industry," said Dr. Gadi Solotorevsky, CTO at Amdocs cVidya, an AI solutions provider. In past practice, the telecom industry handled fraud complaints manually.
Could an emphasis on ethics in AI go the same route? Or should organizations realize the risks-as well as their responsibilities-in putting powerful AI applications into use without addressing ethical concerns? Or is there another way to deal with yet another area of quality without the excessive burden? AI starts out with no understanding of the impact of factors such as race, so if programmers haven't limited how data can be used by the AI, you can wind up with racial data being used, thus creating AI bias.
According to Darktrace's 2021 Ransomware Threat Report [PDF], ransomware attacks are on the rise. Ransomware recovery company Coveware reports that the median number of employees among ransomware victims stood at 200 in Q2 2021, and has actually dropped since the end of 2020.
The EU Parliament has voted in favor of a resolution that essentially calls for the ban of AI-powered biometric mass surveillance technologies such as facial recognition systems in the continent. With today's decision, the European Parliament asks for a permanent ban on the automated recognition of individuals in public spaces, and the prohibition of predicting policing based on behavioral data.
The potential for cloud technologies to break down silos and enable more contextualized views of data is having a dramatic impact on enterprise investment priorities for operations. When asked to identify investment priorities for operations over the next five years, organizations ranked cloud highest, followed by wireless connectivity and artificial intelligence and machine learning, according to a recent Future of Operations survey from IDC. At the same time many enterprises have yet to move their operational data from on-premises to the cloud.
Dell has announced new features for its ProSupport Suite IT software, and new AI-powered Trusted Device security capabilities, both of which should make businesses with large pools of remote workers take notice. "The rapid shift to remote work, increased use of cloud applications and new ways of addressing employee productivity needs have created new threat vectors at the endpoint," Dell said.
Communication Service Providers are making AI deployments an immediate priority to improve service experience for customers and reduce operational costs, an Anodot survey reveals. "Instead of waiting for next generation 5G network deployments to invest in AI, the majority of CSPs are already deploying AI on 4G networks now, the infrastructure most of their customers still use," said Anodot CEO David Drai.
In this interview with Help Net Security, Apoorv Agarwal, CEO at Text IQ, talks about the risk of unstructured data for organizations and the opportunity to leverage AI and automation to identify sensitive data at scale. Ideally, organizations should have a handle on where sensitive information is sitting in their data.
Consider re-skilling to meet the company's needs as well as the employees'. How many times have you heard a manager respond to employees about organizational change with the words, "It just made sense"? To workers who are adversely impacted by the change, it might not make sense at all.