New tools, products, platforms, funding rounds, and company developments in AI security.
Shadow AI refers to unapproved AI tools that employees use at work without IT oversight, often gaining access to corporate data through quick login approvals that bypass traditional security monitoring. The article explains that 80% of employees use unapproved generative AI applications, and most companies lack formal AI governance policies, creating a visibility gap for security teams. The source describes a five-step program to manage this risk by discovering which tools are running, creating employee-friendly policies, and establishing approved alternatives.
Fix: The source explicitly recommends a five-step program: (1) discover all AI tools in use by auditing OAuth (authorization tokens that grant app access to data) connections, scanning for browser extensions, identifying AI features in already-approved tools, and surveying employees; (2) write a practical policy listing approved tools, specifying which data categories (customer records, source code, financial information) should never enter AI tools, confirming data training opt-out status for sensitive tools, and defining a process for requesting new tools; (3-5) [the source text is incomplete and does not provide steps 3-5]. Implement steps 1-2 to give security teams visibility while providing employees a clear approved path for AI tool adoption.
BleepingComputerElon Musk lost a court case against OpenAI and Sam Altman because a jury decided he waited too long to file the lawsuit, not because his claims were false. Musk had accused Altman and OpenAI of breaking an agreement to keep the AI company as a nonprofit charity, but the court ruled the case fell outside the three-year deadline (statute of limitations) for bringing such claims. Musk plans to appeal the decision.
A California jury dismissed Elon Musk's lawsuit against OpenAI and CEO Sam Altman, ruling that Musk had waited too long to file his claims (the statute of limitations, a legal deadline for when lawsuits must be filed, had expired). Musk had accused Altman of breaching a non-profit agreement by converting OpenAI to a for-profit company after Musk donated $38 million early in the company's history. The jury's decision means the case was dismissed on timing grounds rather than on the actual merits of Musk's accusations.
This article reports on a legal case between Elon Musk and Sam Altman, where a jury decided that Musk's claims were invalid either because the statute of limitations (the legal deadline for filing a lawsuit) had expired or due to case dismissals. The jury's decision was advisory (meaning it was only a recommendation to the judge), but the presiding judge accepted their verdict anyway.
Google is attending its annual I/O developer conference as the third-place competitor in the foundation model (large AI systems trained on broad data) race, having fallen behind Anthropic's Claude and OpenAI's systems, particularly in coding capabilities. The article previews expected announcements in three areas: a potential comeback attempt in AI coding tools, continued strength in AI for science (where Google won a Nobel Prize), and moves in health and medicine AI. While Google's internal teams reportedly needed to use competitors' tools to stay productive, major breakthroughs at the conference are unlikely.
Amazon has added a new feature to Alexa Plus (its upgraded AI assistant) that lets users generate podcasts on nearly any topic by simply describing what they want. The AI creates two AI-generated hosts that discuss the chosen topic, and users can preview and customize the podcast before it's created.
According to Stanford economist Mordecai Kurz, tech billionaires are concentrating technological power in a way that weakens democracy, similar to patterns seen during industrialization and the first Gilded Age. Kurz argues that tech moguls often see themselves as superior beings meant to reshape society, citing examples like Anthropic's CEO claiming AI could become a transcendent good while potentially causing mass unemployment.
OpenAI and Dell Technologies are partnering to let businesses use Codex (an AI tool that writes and understands code) in their own private data centers and hybrid environments (networks that combine on-site systems with cloud services) rather than only in the cloud. This allows companies to keep sensitive data secure while using Codex across their existing tools and workflows for both coding tasks and broader business automation.
Organizations buy many security tools to address threats, but this approach fails because companies lack visibility, a unified understanding of their entire IT environment and what each tool is actually monitoring. Attackers exploit the gaps between tools by moving through systems using legitimate access rather than breaking through defenses, meaning the real security problem isn't inadequate tools but an incomplete map of what's happening across all systems.
This article covers a legal dispute between Elon Musk and Sam Altman over OpenAI's conversion from a nonprofit to a for-profit company. Musk founded OpenAI in 2015 with Altman to prevent Google from monopolizing AI technology, but sued in 2024 claiming they violated their commitment to keep it nonprofit, while Altman argues no such commitment was ever made. The article focuses on their trial testimony rather than any technical AI issue or security concern.
Google has introduced Gemini Omni Flash, a new AI model that can generate and edit videos from text, images, audio, or video inputs combined together. The model uses reasoning about physics and real-world knowledge to create realistic videos and allows users to edit them through natural language conversation (giving text instructions rather than using traditional editing tools), with changes building on each other while maintaining consistency in characters, physics, and scene details.
This article covers a legal dispute between Elon Musk and Sam Altman over OpenAI, where Musk has accused Altman of 'stealing a charity.' The trial featured testimony from major tech industry figures and revealed private communications about OpenAI's history and leadership practices. The article focuses on the courtroom drama and business conflict rather than any technical or security issue related to AI systems.
UK regulators (Ofcom) are requiring social media platforms, messaging services, and online forums to follow stricter rules to prevent the spread of intimate image abuse (sharing private sexual images without consent, sometimes called 'revenge porn') and AI-generated deepfakes (fake videos created with AI to show people doing things they didn't do). This comes after a rise in such harmful content, particularly targeting women and girls, including a spike in deepfakes created with AI tools like Elon Musk's Grok.
Fix: Ofcom said it would change its codes of practice to force service providers to detect and quash intimate image abuse and crack down on AI-generated deepfakes.
The Guardian TechnologyAI models are rapidly improving at performing multi-stage penetration tests (simulated attacks where attackers try to break into systems through multiple steps), with the difficulty of tasks they can complete doubling every 4.7 months as of early 2025. The UK government's AI Security Institute measured this by comparing how well AI models could replicate tasks that human cybersecurity experts can complete, finding that the latest AI systems are now showing even greater capability and posing real security risks to organizations with weak defenses.
Anthropic is briefing global financial regulators on Claude Mythos, an AI model with advanced capabilities in finding previously unknown cybersecurity flaws that hackers could exploit. Rather than releasing Mythos publicly, Anthropic has restricted access to selected tech companies and banks to help identify weaknesses, while the UK's AI Security Institute has found the latest version shows a significant capability jump, even completing a difficult autonomous hacking test that no prior model had solved.
Fix: UK regulators and the Treasury released guidance directing firms to 'double down' on 'core cyber hygiene,' which includes reviewing legacy systems, implementing good detection mechanisms, establishing proper governance, planning recovery procedures, and considering insurance coverage.
The Guardian TechnologyAI agents (autonomous programs that can perform tasks with minimal human direction) are becoming sophisticated enough to find and exploit obscure vulnerabilities (weaknesses in software), while at the same time developers are creating enormous amounts of AI-generated code that may contain bugs. This combination is forcing security teams to develop new defense strategies.
Researchers have developed CrossMPI, an image-based prompt injection attack (tricking an AI by hiding instructions in its input) that uses nearly invisible changes to images to manipulate how multimodal AI systems (AI that processes both images and text) interpret user instructions without modifying the text itself. The attack successfully fooled multiple vision-language models (AI systems that understand both images and text) about 66% of the time by targeting the intermediate layers where visual and textual information are combined, posing growing security risks as enterprises increasingly adopt multimodal AI systems.
AI-assisted coding is causing a rapid increase in leaked secrets (authentication credentials and API keys), with AI-related secrets exposed jumping 81% in 2025 alone, because developers prioritize speed and functionality over security reviews. When secrets are discovered, organizations should treat them as security incidents, immediately revoking or disabling the exposed credential, generating a new one, investigating system impact, performing cleanup, and hardening systems, followed by post-mortems to improve processes.
Fix: When a leaked secret is detected, organizations should: (1) activate their incident response process immediately; (2) revoke or disable the secret and generate a new one; (3) have the incident response team and R&D investigate the impact across systems and data; (4) perform cleanup and hardening; and (5) conduct post-mortems and implement necessary updates to systems or policies based on lessons learned. The source notes that the CISO office typically coordinates incidents while the R&D team owns actual revocation and cleanup.
CSO OnlineSouth Korea is using its upcoming local elections as a test case to see whether laws can effectively stop deepfakes (fake videos or audio created using AI to manipulate what people look like or sound like). The country is examining whether regulation can reduce the spread of these manipulated media during elections.
Google has introduced Gemini for Science, a collection of AI tools designed to help researchers work faster and tackle complex scientific problems. The tools include Hypothesis Generation (which uses AI to synthesize research and propose ideas), Computational Discovery (which tests thousands of code variations automatically), and Literature Insights (which organizes and analyzes scientific papers). These tools aim to free up researchers from time-consuming manual work so they can focus on high-impact scientific questions.