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Introducing Adaptive Intelligence: Undermining the economics of every bot attack

Cloudflare launches Adaptive Intelligence, an engine that autonomously learns live-traffic meta-signals and deploys disposable rules to raise bot attack costs.

Cloudflare introduced Adaptive Intelligence, a bot-management engine that autonomously learns meta-signals from live traffic and deploys disposable detection rules. The company says static, deterministic rules historically let bot operators keep attacks cheap by using cheap proxies and rapid retooling. The new approach aims to make automated bot attacks economically unsustainable to sustain.

Cloudflare Blog · 16d agoTools

National Life Group CISO expects more vulnerabilities in six months than in thirty years

National Life Group CISO Becky Palmer says agentic AI resolves four of five SOC investigations and urges AI-speed patching practices.

In a Help Net Security interview, National Life Group CISO Becky Palmer argues frontier AI will uncover more vulnerabilities in the next six months than in the last thirty years, compressing time from disclosure to weaponized exploit from weeks to hours. She reports agentic AI in her SOC resolves 4 of 5 investigations without human escalation, saving hours daily on enrichment and summarization. She also details compensating controls such as virtual patching, least-privilege restrictions, and heightened monitoring, plus procurement questions to separate working AI products from wrappers.

Help Net Security · 14d agoIndustry

Skild AI Taps NVIDIA Physical AI to Teach Robots New Tasks From a Single Video

Skild AI launched its S1 robot foundation model, built on NVIDIA infrastructure, that learns long-horizon industrial tasks from a single video.

Skild AI's S1 model uses in-context learning from one video demonstration to execute unfamiliar multistep tasks lasting up to 10 minutes without weight updates or task-specific post-training. In tests on new tasks it achieved about 66% per-step success versus 9% for a comparable AI system, and one video demonstration was estimated to match roughly 380 hands-on training examples. The company reached a $100 million annual revenue run rate with more than 60 deployment partnerships, and with NVIDIA and Foxconn deploys the Skild Brain on dual-arm manipulators assembling NVIDIA Blackwell systems. Training and validation rely on NVIDIA Isaac Lab, Isaac Sim, Omniverse, Cosmos and the Newton physics engine.

NVIDIA Blog · 6d agoModel release

NETSCOUT expands Adaptive DDoS Protection with outbound attack mitigation

NETSCOUT extended Adaptive DDoS Protection to detect and mitigate outbound DDoS traffic at source, targeting IoT botnet attacks like Turbo-Mirai.

NETSCOUT announced an extension of its Adaptive DDoS Protection (ADP) for service providers to automatically detect and mitigate outbound DDoS traffic from compromised subscriber devices such as broadband routers and IoT devices. The capability addresses Turbo-Mirai-class botnets capable of multi-terabit attacks and integrates with Arbor Sightline, Arbor Threat Mitigation System, the ATLAS Intelligence Feed, and ASERT analysts. Source-side mitigation aims to reduce outages, transit costs, peering damage, and abuse complaints at ISPs.

Help Net Security · 29d agoTools

Show-Harness: Just a VLM Agent Can Play Robots

Show-Harness enables VLM agents to control robots via a semantic action interface, achieving zero-shot frontier control and few-GPU-hour adaptation of small VLMs.

Show-Harness exposes discrete semantic action units that VLMs reason over, with embodiment-specific interpreters deterministically grounding them into local robot actions. It enables zero-shot closed-source frontier VLM control and adapts small open-source VLMs for low-cost deployment with a few GPU-hours of fine-tuning. The companion GUMI interface extends the same semantic action space to GUI-based demonstration collection without teleoperation hardware, and Show-Harness-equipped agents outperform representative agentic and VLA paradigms.

Hugging Face daily papers · 7d agoAI research

Citrix adds AI-powered browser activity analysis to SecurAccess

Citrix launched Session Insights for SecurAccess with Chrome Enterprise, using AI to record and analyze browser activity from users and autonomous agents.

Citrix Session Insights adds automatic session recording and AI-powered risk detection for browser activity by human users and autonomous AI agents within Citrix SecurAccess with Chrome Enterprise. The capability creates visual forensic records, highlights risky behavior for faster investigations, and recommends policy adjustments or changes to agent authority levels. It is designed to support audits and governance as enterprise AI agent workflows expand.

Help Net Security · 7h agoTools

The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement

Position paper maps recursive self-improvement across autonomy levels from execution to meta-improvement, connecting RSI research to science, robotics, and software engineering.

The paper introduces the Headroom-Closed Index (HCI) to reveal limitations of existing LLMs for recursive self-improvement (RSI), then lays out a roadmap spanning improvement-execution, improvement-strategy, experience-acquisition, and environment-adaptation autonomy up to recursive meta-improvement. It examines RSI across scenarios such as scientific discovery, embodied intelligence, and software engineering, highlighting distinct requirements and development speeds. Drawing on industry practices and preliminary empirical evidence, it identifies key challenges to achieving genuine RSI.

Hugging Face daily papersupdated · 6d agofirst · 6d agoAI research 2 sources1

NVIDIA Brings Real-Time AI to Broadcast, Sports and Global Streaming at IBC

NVIDIA expanded its AI for Media suite at IBC 2026, adding NIM microservices for synthetic video detection, body pose, frame generation, upscaling and HDR.

At IBC 2026 in Amsterdam, NVIDIA announced a major expansion of NVIDIA AI for Media, a collection of GPU-accelerated SDKs, NIM microservices and blueprints for broadcast and streaming workflows. The Synthetic Video Detector (SVD) NIM microservice reaches 99.3% accuracy on text-to-video and 97.7% on image-to-video content, while Video Frame Generation boosts frame rates 2x-4x and Video Super Resolution adds 10-bit support; TrueHDR converts SDR to HDR at up to roughly 2,000 nits. Partners including Dalet, TwelveLabs, Wowza, Vizrt and Ross Video are integrating the new services into verification, compliance and live-production workflows.

NVIDIA Blog · 7d agoAI industry

[AINews] GPT-6 Astra: OpenAI’s biggest LLM launch of all time

OpenAI launched GPT-6 Astra, its new flagship model, claiming state-of-the-art computer use, software engineering, math, and cybersecurity capabilities.

OpenAI launched GPT-6 Astra as its new flagship model, describing it as its most intelligent and aligned model with state-of-the-art computer use, software engineering, and math/science capabilities. Pricing is $10/$50 per 1M input/output tokens standard ($20/$100 fast tier), rolling out first to limited organizations, then ChatGPT Plus/Pro/Business/Enterprise, the API, and AWS. OpenAI claims 99.9% on ARC-AGI-3, 98% on FrontierMath Tier 4, and 100% on ExploitBench. Artificial Analysis scored Astra 67 on the Coding Agent Index and 61 on the Intelligence Index, behind Claude Fable 5.1, and the system card drew attention for reporting decreased chain-of-thought monitorability despite alignment gains.

Latent Space · 12d agoModel release3

The Money Mule Solution: What Every Scam Has in Common

CYBERA's money mule intelligence, now in Recorded Future's Payment Fraud Intelligence, targets the shared exit point of $450B-$1T annual scam losses.

Scams, especially authorized push payment fraud, do not require a breach; Global Anti-Scam Alliance estimated ~$450B in 2025 losses while CYBERA co-founder Claudio Staub puts the real figure near $1 trillion when underreporting is counted. Every scam needs a mule account to receive funds, so CYBERA uses agentic personas to engage active scammers and extract verified mule account details before payments occur, now available as an add-on to Recorded Future's Payment Fraud Intelligence. CYBERA collected over 16,000 confirmed mule accounts across 72 countries in H2 2025, finding 28% remained active 30 days or more after identification, including one account in 25 engagements. In Europe 51% of mule accounts sat at neobanks and fintechs, while outside Europe 69% were at major banks; regulatory pressure like the UK's APP reimbursement mandate is raising the stakes for institutions.

Recorded Future · 17d agoPhishing & fraud

Physical AI Takes the Wheel: How the World’s Robotaxi Leaders Are Building With NVIDIA Technologies

NVIDIA details a three-computer robotaxi platform that Uber, Lyft, May Mobility, Mercedes-Benz and others are adopting to scale autonomous fleets.

NVIDIA says every major commercial robotaxi program runs on its stack, spanning training (DGX with Alpamayo VLA models), simulation and validation (Omniverse, Cosmos, AlpaSim on RTX PRO), and in-vehicle compute (DRIVE Hyperion 10 with dual DRIVE AGX Thor chips). Adding meta-action and chain-of-thought reasoning data to a VLA model reduced minimum average displacement error by 43%, from 2.08 to 1.18. Uber plans NVIDIA DRIVE Hyperion-based fleets across 28 cities by 2028, partnering with Autobrains, Avride, Lucid, May Mobility, Mercedes-Benz, Momenta, Nissan, Nuro, Pony.ai, Stellantis, Waabi, Wayve, WeRide and Zoox. DRIVE Hyperion 10 combines 14 cameras, nine radars, three lidars and 12 ultrasonics with redundant compute and NVIDIA Halos safety validation.

NVIDIA Blog · 6d agoAI industry

ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents

ScienceBuddy released: interactive scientific agent workspace coupling harness evolution with model reinforcement learning for continual self-improvement across four scientific task families.

ScienceBuddy is an interactive scientific research workspace that turns researcher requests, feedback, and execution evidence into tasks and evaluation rubrics for continual learning. Its recursive-in-recursive self-improvement paradigm couples harness evolution with the model fixed (inner recursion) and model reinforcement learning under the improved harness (outer recursion). Case studies span four scientific task families covering researcher interaction, harness refinement, and model learning. The system is released as a research product at science-buddy.io.

Hugging Face daily papersupdated · 1d agofirst · 1d agoAI research 2 sources