Reveal Security, a preemptive identity security company, is helping enterprises prevent identity-based threats with its ML- and AI-powered identity behavior analytics. According to Gartner, this approach is crucial for securing emerging AI attack surfaces. Reveal Security's solution brings visibility, precision, and automation to identity security, allowing companies to stop threats before they cause harm.
The Security Operations Insights Report reveals that three-fourths of security leaders considering SIEM alternatives are looking for Intelligent SecOps, a model that leverages AI, automation and cloud-native scale to support modern security needs. 90% of security leaders see AI as crucial in their decision-making process, seeking tools that not only collect data but also provide actionable insights faster and smarter. Intelligent SecOps offers Smarter Triage, Automated Investigations and Contextual Enrichment, Proactive Threat Detection with Behavioral Analytics, Accelerated Response Through Automation, and Cross-Environment Correlation and Real-Time Normalization to support security teams in their fight against evolving threats.
Semperis, a privately owned company headquartered in Hoboken, New Jersey, offers EntraGoat to help security professionals identify and exploit vulnerabilities in cloud-based identity management systems. The company's AI-powered technology protects over 100 million identities from cyberattacks, protecting hybrid and multi-cloud environments that include Active Directory, Entra ID, and Okta.
The US is exploring the use of location trackers for AI chips, with an official stating that such technology could be used to improve the efficiency and accuracy of AI systems. The development comes as the country seeks to enhance its position in the global AI market.
The US is exploring ways to improve location-tracking capabilities in AI chips as part of efforts to curb semiconductor exports to China, according to a senior official. The move aims to counter China's growing influence in the global chip industry and limit its access to advanced technology.
The American Arbitration Association (AAA) is hosting a transformative event that brings together global legal and AI experts to discuss the implications of Artificial Intelligence (AI) for dispute resolution. The conference, scheduled for October 9-10, 2025, will explore data ethics, regulatory trends, and real-world applications of AI in Alternative Dispute Resolution (ADR). The event is part of the AAA's Future Dispute Resolution program, which aims to foster innovation and collaboration among ADR professionals, developers, and technologists. Following the conference, a Hackathon on October 10 will be held at the AAA-ICDR's Midtown Manhattan office, where interdisciplinary teams will create solutions to improve dispute resolution processes in collaboration with Wolters Kluwer and its Kluwer Arbitration team.
The Productivity Commission has found that a combination of artificial intelligence (AI) and better use of personal data could deliver a $200 billion boost to Australia's economy over the next decade, with potential productivity growth rate increases of 4.3% and an additional $10 billion in annual benefits through higher productivity. However, the commission warns that there may be job losses due to AI, particularly painful transitions for those whose jobs are made redundant, and advises against binding regulations on AI, citing concerns it could limit growth opportunities.
The development of large-scale AI data centers faces challenges due to legacy decisions on location selection, which often prioritize existing infrastructure over clean energy sources or heat reuse networks. In response, there's a growing trend towards modular, energy-efficient builds that can reduce environmental impact and support flexible deployment. However, retrofitting older sites with high capacity requirements remains difficult, and collaboration between government, energy providers, and infrastructure is still fragmented, hindering the progress of critical AI workloads.
A researcher's work on machine vision and intelligent control systems is enhancing road design with AI-driven models that can adapt to their environment, reducing human error and evolving as needed, benefiting from his academic focus on these areas.