AI News

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19 Sept 20268 Rabiʻ II 1448 AH

Unified visibility strengthens connected infrastructure security

Bashir Mousa from Nozomi Networks explains how unified visibility across IT, OT, and IoT, supported by AI-driven detection, can help Middle Eastern organizations manage cyber risks. Unified visibility is crucial for mitigating potential threats, allowing organizations to monitor all aspects of their infrastructure comprehensively. By integrating data from IT and OT systems, threat response can be significantly improved.

Business

19 Sept 20268 Rabiʻ II 1448 AH

FVC advances cyber and AI resilience through partner ecosystem

K. S. Parag, Managing Director of FVC, outlined how the company assists partners in delivering cost-effective solutions in cybersecurity, asset intelligence, patch management, and AI application testing. These initiatives are part of FVC's strategy to support regional enterprises in tackling the increasing challenges in cybersecurity, focusing on enhancing partners' capabilities to provide innovative solutions. These efforts reflect FVC's commitment to strengthening cyber resilience and AI in the region, creating new opportunities for enterprises to improve security and operational efficiency.

Agents

19 Sept 20268 Rabiʻ II 1448 AH

Unity launches official plugins for Claude Code and OpenAI Codex to stop AI agents from using outdated tutorials

Unity has announced the launch of official plugins for Claude Code and OpenAI's Codex. These plugins aim to enhance the developer experience by providing modern tools and continuous updates, helping to avoid reliance on outdated tutorials. This move is significant amid increasing competition in software development, as Unity seeks to offer innovative solutions that support developers in effectively utilizing AI technologies. The new plugins will provide improved APIs to facilitate integration with AI tools.

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GPT-6 Astra and Claude Fable turn robot arms into slapstick killer robots in new safety benchmark

What are the potential risks of using AI models in robotics?

Models

Vals, backed by Andreessen Horowitz, is looking to become the gold standard for AI benchmarking

19 Sept 20268 Rabiʻ II 1448 AH

Models

19 Sept 20268 Rabiʻ II 1448 AH

Vals, backed by Andreessen Horowitz, is looking to become the gold standard for AI benchmarking

Vals AI is striving to make AI benchmarking a more neutral and trustworthy resource. The company aims to provide accurate standards that enhance transparency in performance evaluation among various models. Given the increasing number of AI models, this initiative is a significant step towards building trust in benchmarking results. Vals AI is developing evaluation mechanisms that go beyond traditional standards, allowing them to deliver reliable information to users. By focusing on transparency, the company hopes to mitigate biases that may affect evaluation outcomes. This move comes at a time when the demand for effective AI models is on the rise.

Governance

The AI regulation smackdown isn’t over

19 Sept 20268 Rabiʻ II 1448 AH

Governance

19 Sept 20268 Rabiʻ II 1448 AH

The AI regulation smackdown isn’t over

At the beginning of this week, leading figures in AI appeared to agree on the need for regulating technology development. Anthropic CEO Dario Amodei proposed a three-step plan to slow AI advancement, which includes embedding third-party evaluators in labs and coordinating efforts across the domestic industry. Notably, OpenAI CEO Sam Altman, Google DeepMind co-founder Demis Hassabis, and SpaceX CEO Elon Musk expressed their support for various aspects of this plan. This consensus marks an unprecedented alignment among major companies in the AI sector regarding the importance of regulation.

Business

Seclore elevates persistent data protection for AI-driven enterprises, says Justin Endres

19 Sept 20268 Rabiʻ II 1448 AH

Business

19 Sept 20268 Rabiʻ II 1448 AH

Seclore elevates persistent data protection for AI-driven enterprises, says Justin Endres

Justin Endres, Chief Revenue Officer at Seclore, discusses how persistent data protection is reshaping corporate priorities. The growing use of AI tools has increased risks associated with moving sensitive data beyond traditional organizational boundaries. Protecting intellectual property and personally identifiable information has become a major priority, as companies must ensure regulatory compliance while safeguarding critical digital assets. Endres highlights the role of strategic partners in addressing complex customer requirements.

Agents

Google Deepmind's Dream-RSI helps AI agents improve by “dreaming” about past attempts

19 Sept 20268 Rabiʻ II 1448 AH

Agents

19 Sept 20268 Rabiʻ II 1448 AH

Google Deepmind's Dream-RSI helps AI agents improve by “dreaming” about past attempts

Google and DeepMind have launched Dream-RSI, a system that enables AI agents to "dream" through past search attempts to test new strategies without incurring costly recalculations. In tests, Dream-RSI matched or exceeded existing results, reducing iterations by a factor of up to 2.43. The system adapts only the search strategy while keeping the underlying AI model unchanged. Dream-RSI represents a significant advancement in enhancing the efficiency of AI agents, allowing them to explore new strategies more quickly and cost-effectively, which could positively impact the future development of AI technologies.

Governance

Forget the AI Slowdown—the Vulnerability Explosion Is Already Happening

19 Sept 20268 Rabiʻ II 1448 AH

Governance

19 Sept 20268 Rabiʻ II 1448 AH

Forget the AI Slowdown—the Vulnerability Explosion Is Already Happening

AI labs are exploring the possibility of reaching an industry-wide agreement to slow the pace of AI development. This discussion arises amid growing concerns about security, as widely available chat tools demonstrate their ability to uncover numerous security flaws. These developments highlight the need for a balance between innovation and safety, presenting decision-makers with new challenges in managing the risks associated with AI technologies.

Models

AI conference ICLR is drowning in abstracts, with roughly 50,000 submissions before the deadline

19 Sept 20268 Rabiʻ II 1448 AH

Models

19 Sept 20268 Rabiʻ II 1448 AH

AI conference ICLR is drowning in abstracts, with roughly 50,000 submissions before the deadline

ICLR 2027 has received approximately 50,000 abstracts, a significant increase from 19,500 at ICLR 2026. This surge is driven by the AI hype, publication-related pay incentives, and the speed at which AI enables paper production. This influx exacerbates existing quality issues with submissions and reviews, as the sheer volume of abstracts makes accurate evaluation challenging. This trend is expected to continue as reliance on AI for writing research papers grows.