Security News

Google announced security enhancements to Google Workspace focused on enhancing threat defense controls with Google AI. At a Google Cloud press event on Tuesday, the company announced Google Cloud's rollout over the course of this year of new AI-powered data security tools bringing zero-trust features to Workspace, Drive, Gmail and data sovereignty.The focus of the new enhancements across Google Drive includes a slew of zero-trust aligned, AI-powered enhancements to its cloud-native architecture, according to Google, which said AI will drive automated data labeling and classification to defend against exfiltration attempts by threat actors.

Successful camera surveillance deployments require a delicate interplay between the security cameras, sensors and other hardware, the video management system, and the network itself. Surveillance installations tend to grow over time, and as the number of cameras increases, the bandwidth limit of the network is reached.

The enterprise perimeter is now a massively decentralized IT landscape characterized by large-scale adoption of cloud platforms, digital services, and an increasingly tangled digital supply chain. Regulators are on the march as new threat actors emerge, exploiting increasingly sophisticated attack vectors to compromise organizations faster.

Cybercriminals employ artificial intelligence to create complex email threats like phishing and business email compromise attacks, while modern email security systems use AI to counter these attacks, according to Perception Point and Osterman Research. Cybercriminals have shown rapid adoption of AI tools to their favor with 91.1% of organizations reporting that they have already encountered email attacks that have been enhanced by AI, and 84.3% expecting that AI will continue to be utilized to circumvent existing security systems.

Cybersecurity expert Kayne McGladrey speaks about why AI cannot do what creative people can, and the important role of generative AI in SOCs. Kayne McGladrey, IEEE Fellow and cybersecurity veteran with more than 25 years of experience, asserts that the human element - particularly people with diverse interests, backgrounds and talents - is irreplaceable in cybersecurity.

Typically, Automatic License Plate Recognition technology is used to search for plates linked to specific crimes. In this case it was used to examine the driving patterns of anyone passing one of Westchester County's 480 cameras over a two-year period.

The new AI cyber challenge will have a number of different phases. Interested would-be competitors can now submit their proposals to the Small Business Innovation Research program for evaluation and, eventually, selected teams will participate in a 2024 "Qualifying event." During that event, the top 20 teams will be invited to a semifinal competition at that year's DEF CON, another large cybersecurity conference, where the field will be further whittled down.

To counteract new and emerging threat methods enhanced by artificial intelligence, specialized email security vendors are leveraging a synergy of AI and human insights to enhance email security, according to IRONSCALES and Osterman Research. Over 74% of respondents have experienced an increase in the use of AI by cybercriminals in the past six months, and over 85% believe that AI will be used to circumvent their existing email security technologies.

Analysis Despite the hype around criminals using ChatGPT and various other large language models to ease the chore of writing malware, it seems this generative AI technology isn't terribly good at helping with that kind of work. In two reports published this week, Trend Micro and Google's Mandiant weigh in on the buzzy AI tech, and both reach the same conclusion: internet fiends are interested in using generative AI for nefarious purposes, though in reality, usage remains limited.

Code development, content creation and analytics are the top generative AI use cases. A little over half of businesses have experimented with AI. Surveyed companies using generative AI employed it in content generation, analytics insights summary, analytics insights generation, code development and process documentation.