Dataminr, Crisis24 Integrate AI for Faster Security Response

Key Takeaways

• Dataminr and Crisis24 merged AI tools to analyze over 1 million data sources in 150 languages for security teams.
• Dataminr Advanced for Corporate Security uses 60 fine-tuned models and a 10-year event archive for autonomous threat prediction.
• Helen Toner, former OpenAI board member, warned that rapid AI development requires caution to prevent societal risks.
• Financial expert Bill Cohen views recent AI warnings from tech CEOs as a critical wake-up call for the industry.
• OpenAI launched a new ad format in ChatGPT allowing users to chat directly with brand AI agents.
• Alphabet partnered with Avid to integrate Gemini Enterprise tools into Google Cloud's Media Composer.
• ByteDance secured a $29.6 billion loan to support its AI infrastructure and development plans.
• MercadoLibre is investing in machine learning and natural language processing to boost e-commerce efficiency.
• Experts suggest businesses should use internal sales data rather than external dashboards for AI search visibility.
• Investment in AI data centers is growing due to real demand, with experts dismissing the idea of an infrastructure bubble.

Dataminr and Crisis24 merge AI tools for security

Dataminr and Crisis24 announced a new partnership at the Global Security Exchange conference to combine their security technologies. The integration adds Dataminr's Multi-Modal Fusion AI to the Crisis24 Horizon platform, which reads text in 150 languages and analyzes images, video, and audio from over 1 million data sources. This system maps intelligence against client offices and employees to catch hyper-local incidents that country-level alerts might miss. The new tools include ReGenAI Live Briefs, Agentic Context, Agentic Corroboration, and Near-Term Predictive Intelligence to help security teams act faster. Crisis24 supports this with its team of more than 230 intelligence analysts who manage alerts and coordinate responses.

Dataminr uses AI to predict and verify security threats

Dataminr has launched new features for its Advanced Corporate Security product that use agentic AI to predict and verify threats automatically. The company now offers Agentic Corroboration, which uses AI agents to check event details at machine speed instead of waiting for human analysts. Agentic Context scans public information and a 10-year event archive to explain why an event matters to a specific user. Near-Term Predictive Intelligence analyzes past data to guess how a threat might evolve in the future. These tools are now generally available and will soon include new features like tailored live briefs and advanced API capabilities.

Dataminr brings autonomous AI intelligence to enterprises

Dataminr released Dataminr Advanced for Corporate Security, a new platform that uses autonomous real-time intelligence for enterprise security teams. The system uses more than 60 fine-tuned large language models trained on a 10-year archive of events to ensure speed and accuracy. It combines three main AI capabilities: Agentic Corroboration for fast verification, Agentic Context for understanding event significance, and Near-Term Predictive Intelligence for forecasting risks. This approach avoids the errors and delays often found in general-purpose AI models. Customers can access these tools now and will receive additional features like custom alerts and a watchlist agent in upcoming updates.

Helen Toner warns about AI safety risks on TV

Helen Toner from Georgetown University joined a TV show to discuss serious concerns about the safety of artificial intelligence. As the executive director of the Center for Security and Emerging Technology and a former board member at OpenAI, she emphasized that warnings from tech CEOs should be taken very seriously. She called for a slowdown in the rapid development of AI technology to prevent potential dangers. The discussion also covered the ongoing competition between the United States and China regarding AI capabilities. Toner believes that ignoring these safety warnings could lead to significant problems for society.

Financial expert says AI warnings are a wake-up call

Bill Cohen, an author and financial expert, reacted to recent warnings from major technology CEOs about the dangers of artificial intelligence. He told CBS News that he takes these warnings very seriously and views them as a wake-up call for the industry. Cohen wrote a book called Money to Burn and has been watching the rapid pace of AI development closely. He believes the current speed of innovation might be too fast and could lead to negative consequences if not managed carefully. His comments highlight growing concern among experts about the need for better oversight of AI technology.

Native App AI converts web sites to Android apps

Native App AI helps businesses turn websites or AI-built web apps into Android apps ready for the Google Play Store. This tool allows founders to avoid rebuilding their products from scratch by packaging existing web experiences for mobile devices. Users can paste a website URL into the platform to generate APK and AAB files that support features like push notifications and AdMob monetization. The process simplifies distribution for SaaS companies and creators who want to reach Android users without starting a new development project.

OpenAI launches new chat based ad format for brands

OpenAI introduced a new ad format that lets users click to start a conversation with a brand's AI agent instead of visiting a website. This AI-native advertising approach allows advertisers to attach a branded business agent to their ads within the ChatGPT app. Wayfair is currently testing this feature, which sends users directly into a chat interface to interact with the brand. The new format aims to create a seamless shopping experience inside the chatbot, similar to how Meta Ads connect users to WhatsApp.

Anthony Pompliano discusses AI regulation and tech stocks

Anthony Pompliano, the CEO of ProCap Financial, discussed how the market should regulate artificial intelligence following recent comments by Donald Trump. He analyzed the current state of tech stocks and highlighted the acquisition of Silvia, a new financial AI agent designed to manage wealth for ProCap Financial. The conversation focused on competition within the AI sector and the role of private markets in overseeing these rapid technological changes.

MercadoLibre plans to use AI to boost e-commerce growth

MercadoLibre is investing heavily in artificial intelligence to drive its next phase of growth as an e-commerce company. A report published on Yahoo Finance states that the company will use machine learning and natural language processing to improve its platform. These AI investments aim to increase operating efficiency, boost developer output, and improve search conversion rates for sellers. The strategy also includes using AI to enhance seller support and drive overall sales performance.

Sales calls hold the best data for AI search visibility

Businesses can find the most valuable data for AI search visibility inside their own sales calls and support tickets rather than buying external dashboards. Experts suggest building a measurement baseline from first-party data like win-and-loss debriefs and community threads to understand real buyer questions. This approach creates a reliable panel of queries that reflects actual customer needs instead of relying on modeled samples from vendors. Companies should use these internal questions to audit their AI search performance and track results over time.

AI Data Center Investment Grows Due to Real Demand

Investment in AI data centers is growing fast because of real demand and strategic changes in the industry. Experts say this shift from Bitcoin mining to AI is driven by the need for more power and computing. Large deals and new financing methods are helping companies build these facilities quickly. Most people do not believe there is an AI infrastructure bubble because businesses truly need this technology.

Alphabet Partners with Avid for AI Cloud Editing Tools

Alphabet and Avid have expanded their partnership to bring Media Composer to Google Cloud. This browser-based version uses Gemini Enterprise tools to help creative professionals with their workflows. BigQuery AI is also included to support tasks like search, tagging, and content analysis. This deal shows how Alphabet is using AI to make Google Cloud more than just a place for storage and computing.

ByteDance Secures 29.6 Billion Dollar Loan for AI Plans

ByteDance, the parent company of TikTok, has signed a 29.6 billion dollar loan agreement with over two dozen banks. This loan is the second largest in Asia this year and will help the company build its AI ambitions. The funding comes as the company had considered spending 70 billion dollars on AI data centers. Lenders showed high confidence by offering a low interest rate of 0.68 percentage points above the benchmark.

Sources

• Dataminr puts real-time intelligence and agentic AI inside Crisis24 Horizon
• Dataminr uses agentic AI to predict and verify security threats
• Dataminr Advanced for Corporate Security Brings Autonomous Real-Time Intelligence to the Enterprise
• Georgetown's Helen Toner on AI safety concerns: We should take warnings from CEOs very seriously
• AI warnings from tech CEOs are a "wake-up call," financial expert says
• How to Convert a Website or AI-Built Web App into a Play Store-Ready Android App in 2026
• OpenAI’s next ChatGPT ad format: click to chat, not to site
• Let the market regulate AI: Anthony Pompliano
• MercadoLibre's AI Investments Are Set to Drive the Next Growth Chapter
• The Most Valuable AI Search Data in Your Business Is Already Sitting in Your Sales Calls
• CLSK: AI data center investment is accelerating, fueled by real demand and strategic industry shifts
• How Is Alphabet (GOOGL) Turning AI Cloud Tools Into Creative Software?
• TikTok parent ByteDance secures $29.6 billion loan as it focuses on AI related development