Internet Traffic Driven By AI Tripled Last Year, Study Shows
Human Security's 2026 State of AI Traffic and Cyberthreat Benchmark Report, based on over 1 quadrillion internet interactions, found AI-driven traffic nearly tripled in 2025, with agentic browser-style traffic growing ~80x year-over-year (though still only 1.7% of AI-driven traffic by December). OpenAI accounted for ~69% of automated traffic, Meta 16%, and Anthropic 11%. The report also flags a 47% rise in malicious scraping and new security challenges as legitimate AI agents increasingly mimic historically suspicious bot behaviors like account creation and transaction completion.
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Anthropic maps 832 AI-enabled cyberattacks, finds MITRE ATT&CK framework inadequate for agentic threats
Anthropic's Frontier Red Team analyzed 832 accounts banned for malicious cyber activity between March 2025 and March 2026, mapping their techniques against the MITRE ATT&CK framework. Key findings: medium-or-higher-risk actors grew from 33% to 56% across the study period; AI use is shifting from initial-access techniques toward post-compromise operations like lateral movement and privilege escalation; and traditional risk signals (technique count, platform used) no longer reliably distinguish threat levels. The report concludes that MITRE ATT&CK lacks coverage for agentic orchestration behaviors—where AI chains attack stages autonomously with minimal human input—which characterize the highest-risk actors, including a state-sponsored espionage operation disrupted in November 2025.
State of Mobile 2026 Report: AI App Revenue Triples to $5B, Downloads Double to 3.8B
Sensor Tower's State of Mobile 2026 report documents explosive growth in mobile AI apps during 2025: global revenue tripled to over $5 billion and downloads doubled to 3.8 billion, with users spending 48 billion hours in AI apps — roughly 10x the 2023 figure. ChatGPT leads downloads, followed by Gemini, DeepSeek, Doubao, and Perplexity; OpenAI and DeepSeek together account for nearly 50% of global AI app downloads. Non-game app revenue exceeded gaming revenue for the first time, driven largely by AI spending. The data provides concrete evidence that AI assistant usage is becoming habitual and mainstream on mobile platforms.
Disrupting Malicious Uses of AI | OpenAI Threat Report February 2026
OpenAI published its latest threat report examining how malicious actors are combining AI models with websites and social platforms for harmful purposes. The report analyzes detection and defense implications of these combined attack vectors. This represents OpenAI's ongoing effort to document and counter adversarial misuse of AI systems.
Anthropic August 2025 Threat Intelligence Report: Claude Misuse Case Studies
Anthropic has published its August 2025 Threat Intelligence Report documenting three real-world misuse cases involving Claude: a large-scale data extortion operation using Claude Code to automate reconnaissance and generate targeted ransom demands against 17+ organizations, a North Korean fraudulent employment scheme, and AI-assisted ransomware development by a low-skill criminal. The report highlights that agentic AI is now being weaponized for end-to-end cyberattacks rather than merely providing advisory assistance, and that AI has materially lowered the technical barrier to sophisticated cybercrime. Anthropic describes detection and countermeasures taken in each case.
Anthropic Frontier Red Team reports early-warning signs of rapid AI progress in cybersecurity and biosecurity capabilities
Anthropic's Frontier Red Team published findings from a year of safety evaluations across four model releases, documenting rapid capability gains in dual-use domains. In cybersecurity, Claude 3.7 Sonnet now solves roughly a third of Cybench CTF challenges (up from ~5% a year ago), and with the Incalmo toolset was able to replicate a large-scale network attack in realistic cyber range environments. In biosecurity, Claude has moved from underperforming virology experts to exceeding them on the VCT benchmark within one year, and exceeds human expert baselines on cloning workflows. Anthropic assesses current models as showing 'early warning' signs but not yet crossing thresholds of substantially elevated national security risk.
Anthropic Launches Economic Index: First Large-Scale Empirical Study of AI's Labor Market Impact
Anthropic has released the Anthropic Economic Index, an initiative tracking AI's effects on labor markets using anonymized data from approximately one million Claude.ai conversations matched to U.S. Department of Labor O*NET occupational tasks. Key findings show AI use is concentrated in software development and technical writing, with 36% of occupations seeing AI use in at least 25% of their tasks, and usage skewing toward augmentation (57%) over automation (43%). The underlying dataset is being open-sourced to enable independent research, and Anthropic is inviting economists and policy experts to contribute to the ongoing initiative. The analysis was enabled by Clio, Anthropic's privacy-preserving internal conversation analysis tool.
Data Points: Anthropic's Claude Mythos Cybersecurity Claims Face Scrutiny; OpenAI-Cerebras Deal; Meta AI CEO Avatar; Infrastructure Delays
A multi-item digest covers skepticism around Anthropic's Claude Mythos zero-day vulnerability claims (flagged as overstated by Tom's Hardware based on limited 198-case evidence), OpenAI's $20B+ deal with Cerebras for AI processors including a potential ~10% equity stake, and satellite data showing ~40% of U.S. AI data center projects are behind schedule. Additional items cover Meta developing an AI avatar of CEO Zuckerberg for internal use, Moody's flagging credit stress in AI-disrupted sectors, and Luma AI launching an AI-driven film production studio using its Uni-1 model.
Anthropic Public Record: First wave survey of 52,000 Americans on AI attitudes
Anthropic released results from its first Anthropic Public Record survey, a nationally representative poll of nearly 52,000 Americans conducted in November–December 2025. Key findings: 64% fear AI-induced job loss (top fear in every state), 56% fear cognitive dependency, over 70% support government regulation of AI, and only 15% trust AI companies to self-govern. The survey found broad bipartisan consensus on AI concerns and accountability, with Americans prioritizing legal liability for AI companies and safety over growth. Anthropic plans to repeat the survey regularly and expand internationally.