News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.
AegisAI, a startup founded by former Google security executives, has raised $36 million in Series A funding to combat AI-driven spear phishing. The company uses AI agents to analyze emails for subtle anomalies that traditional rule-based systems miss. Battery Ventures led the round, with Accel and Foundation Capital also participating.
Glow, a cybersecurity startup founded by former Meta and Snowflake executives, emerged from stealth with a $1.2 billion valuation after raising $180 million in Series A funding. The company is building an AI-powered endpoint security platform designed to prevent risky software, AI agents, and developer tools from entering enterprise environments, challenging established players like CrowdStrike and Microsoft.
Google has released three new Gemini models: 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber. The 3.6 Flash model offers improved coding and knowledge work with 17% fewer output tokens and lower costs. The 3.5 Flash-Lite is the fastest in the series at 350 tokens per second, designed for high-throughput agentic tasks. The 3.5 Flash Cyber model, available only to governments and trusted partners via CodeMender, focuses on finding and fixing cybersecurity vulnerabilities. Google also noted that Gemini 3.5 Pro is being tested with partners and that pre-training for Gemini 4 has begun.
Google DeepMind has introduced three new Gemini models: 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber. The 3.6 Flash model offers improved coding and multimodal performance with 17% fewer output tokens and lower cost. The 3.5 Flash-Lite is the fastest in its series at 350 output tokens per second, designed for high-throughput agentic tasks. The 3.5 Flash Cyber, fine-tuned for cybersecurity, will be available exclusively to governments and trusted partners via the CodeMender agent.
Wirestock announced a $23 million Series A funding round to expand its data supply business for AI labs. The company, which pivoted from stock photography distribution, now provides images, videos, design assets, gaming, and 3D content from over 700,000 artists. It serves six major foundation model makers with $40 million annual run-rate revenue.
Seattle startup CopilotKit has secured $27 million in Series A funding to advance tools for deploying AI agents directly in applications. The round, led by Glilot Capital, NFX, and SignalFire, supports development of its AG-UI protocol and enterprise toolkit. Backed by major providers like Google and Microsoft, the open-source protocol enables dynamic interfaces beyond text chats.
Parallel Web Systems, founded by ex-Twitter CEO Parag Agrawal, raised $100 million in Series B funding at a $2 billion valuation. Sequoia led the round, with participation from Kleiner Perkins, Index Ventures, Khosla Ventures, First Round Capital, Spark Capital, and Terrain Capital. This follows a $100 million Series A five months ago at $740 million valuation, bringing total funding to $230 million.
AI infrastructure startup Upscale AI is negotiating its third funding round since starting operations seven months ago. The proposed raise of $180 million to $200 million would set the company's value at around $2 billion, according to Bloomberg. Earlier rounds included a $200 million Series A in January and a $100 million seed in September, backed by investors like Tiger Global Management.