AI News

Fake GTA 6 download goes after Steam logins and crypto wallet data Cynet researchers followed a “GTA 6 EXE file download” link from a Google Colab notebook to a ZIP archive and found a WARDEN Stealer loader inside. The malware takes saved passwords, browser cookies, Steam and Roblox credentials, and cryptocurrency wallet data from the machine it runs on. A Google Colab notebook promotes a fake GTA 6 executable download (Source: Cynet) Grand Theft Auto VI l

GPT-6.1 Terra meets OpenAI’s Critical cyber threshold, and it’s cheaper than GPT-5.6 Terra OpenAI released GPT-6.1 Terra, a model that operates desktop software, to all Plus, Pro, Enterprise, and Edu users in ChatGPT Work and Codex, and to developers through its API as gpt-6.1-terra. API prices are 50 percent below those of GPT-5.6 Terra and GPT-6.1 Sol: $1 per million input tokens, $0.05 per million cached input tokens, and $5 per million output tokens. T

71% of vulnerability exploitation starts within a week of disclosure Attackers are exploiting newly disclosed security flaws within days, leaving organizations little time to respond, according to Rapid7’s Q3 2026 Quarterly Threat Landscape Report. The company reported an average of three days between public disclosure and exploitation of high-severity vulnerabilities, with 71% of tracked exploitation occurring within the first week. Cumulative exploitatio

Several AI security market categories are headed for bigger platforms In this interview with Help Net Security, Jonathan Care, Lead Analyst and Practice Lead AI at KuppingerCole Analysts, compares AI security startups to the early fraud market he helped define at Gartner. He explains which categories will survive as products and which will become features inside bigger platforms. Care talks about Q3 funding going to fewer, larger rounds, Israel’s share of

Bellini Capital CISO on AI security governance and the limits of patching faster In this Help Net Security interview, Brian Blakley, CISO at Bellini Capital and ConnectSecure, explains why AI makes finding vulnerabilities faster while fixing them still takes time. He argues that “patch faster” is not enough and that teams need to cut exposure while remediation is pending. Blakley describes a shared metric for CIOs and CISOs, how his team tests for silent m

Upwind secures $400 million to protect AI across endpoints, code, and cloud Upwind Security has raised $400 million in Series C funding to expand its cloud and AI security platform, bringing the company’s total funding to more than $800 million. Bessemer Venture Partners led the round, with participation from all existing Upwind investors, including Greylock Partners, Cyberstarts, Craft, Salesforce Ventures, Alta Park, Picture Capital, Swish Ventures, Cerc

I underestimated how fast security teams would trust AI to act in the SOC For most of my career, I have watched new security platforms work through enterprise programs at a slow pace, so when AI began showing up in security operations tools, I assumed it would follow the same path. I expected AI adoption in the SOC to lag behind almost every other category of security technology, because I’d always viewed the tension between moving quickly on innovations a

Google says Gemini 4 Carbon beats its predecessors at finding and fixing security flaws Google’s Gemini 4 Carbon is a frontier AI model designed for software engineering and cybersecurity tasks, with safeguards built on those of its predecessor, Argon. SEC-bench Pro (Source: Google) Google says its teams have seen Carbon spend days investigating and fixing bugs across large codebases and low-level systems. The model was also trained to handle complex tasks

Researchers broke the browsers built into VS Code, Cursor, Copilot, Codex and Claude Desktop Forever Security found ways out of the built-in browsers in five AI coding assistants: Cursor, GitHub Copilot, OpenAI’s Codex, Microsoft’s VS Code and Anthropic’s Claude Desktop. In all five, a web page or a local file reached the computer behind the browser. Cursor ran attacker code, Copilot showed a fake address, and Codex, VS Code and Claude Desktop let a single

What exactly is ISOC? And what does it mean for you? Gartner recently released a new category of assessing security tools: the Integrated Security Operations Center (ISOC). Even though SIEM isn’t going anywhere, a rapidly evolving threat landscape is forcing a shift in industry logic that is reflected in the emergence of this new category. For years, SIEM has dominated as an all-encompassing category. But SIEMs are no longer sufficient to collect data, sup

Open-weight AI model GLM-5.3 cheated its way to correct answers Irregular evaluated Zhipu AI’s open-weight model GLM-5.3 across 13 offensive cyber scenarios using CyScenarioBench, the company’s framework for measuring an LLM’s ability to plan and execute multistage attacks under realistic constraints. The model refused none of the tasks and completed three scenarios at least once each, carrying attacks through dependent stages to reach objectives in simula

Claude Code extension poisoned with persistent SSH backdoor A tampered build of Anthropic’s Claude Code extension for VS Code-compatible editors planted an SSH backdoor on developers’ machines, researchers at macOS security firm Phorion have found. The company spotted the malicious package, version 2.1.313, on Open VSX, an open-source marketplace for VS Code extensions run by the Eclipse Foundation. VS Code’s default extension store is Microsoft’s Visual S

Ransomware gang talked AI agents into doing much of its dirty work The group behind the Aur0ra ransomware has been using AI agents to move through victim networks, collect credentials and work its way up to domain administrator access, according to Sophos. AI-assisted intrusion workflow (Source: Sophos) The company, which tracks the group as GOLD OGRE, recovered artifacts from the Cursor AI coding assistant in late August that show the attackers handing th

The recent explosive growth of Large Language Models (LLMs) has showcased their exceptional performance across a spectrum of natural language processing tasks. However, this advancement comes with challenges, primarily stemming from their expanding size, which presents hurdles for deployment and sparks concerns regarding their environmental footprint and economic implications due to heightened energy demands. In response to these challenges, one popular st

In recent times, video generative models have emerged as a focal point of attention, unlocking a realm of fresh creative opportunities. Despite this, the velocity of these models remains a significant obstacle to their broader adoption. State-of-the-art generative models, while impressive in their capabilities, are hampered by sluggishness and computational demands due to their iterative diffusion processes. To address this issue, in a new paper AnimateDif

The Transformer architecture has emerged as a pivotal tool in numerous domains, excelling particularly in tasks like speech recognition, machine translation, and document summarization. Yet, its efficacy often hinges on expanding the model’s size to tackle increasingly intricate challenges, thereby imposing substantial computational burdens. In the pursuit of alleviating the computational strain associated with Transformers, the exploration of linear atten

AlphaFold2 (AF2), crafted by DeepMind, stands as a beacon in the realm of artificial intelligence (AI), boasting the remarkable ability to predict the three-dimensional (3D) structures of proteins from amino acid sequences with unprecedented atomic-level precision. While lauded as a revolutionary advancement in protein folding, its training regimen has long been hampered by its laborious nature, failing to reap significant benefits from the scaling up of c

Ensuring that Large Language Models (LLMs) align with human values and preferences is crucial for their utility and safety. Yet, devising effective tools for this alignment presents significant challenges, particularly with the largest and most sophisticated LLMs, which often boast tens or hundreds of billions of parameters. In a new paper NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment, a team of researchers from Nvidia introduces NeMo-Aligne

From text and proteins to audio, images, and state sequences, decoder-only generative models have proven their ability to generate new sequences across various modalities. However, integrating multiple generative foundation models, especially those trained on different modalities, into a cohesive and superior system presents significant challenges. In a new paper Zipper: A Multi-Tower Decoder Architecture for Fusing Modalities, a Google DeepMind research t

AI is experiencing a transformative shift with significant advancements driven by the integration of multiple large language models (LLMs) and other complex components. Consequently, developing systematic and automated optimization methods for these compound AI systems has become a critical challenge and is essential for harnessing AI’s full potential. In response to this need, a research team from Stanford University and Chan Zuckerberg Biohub has introdu