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Microsoft Copilot Personal Flaws Could Let One Click Exfiltrate Data From Connected Apps

Varonis discloses CoSnitch (CVE-2026-24301), three Microsoft Copilot Personal flaws enabling one-click exfiltration of connected-app data; patched August 18, 2026.

Varonis Threat Labs found that an undocumented autorun=1 parameter, paired with the q parameter, lets an attacker-supplied prompt run automatically on page load in a victim's authenticated Copilot session, then exfiltrate data from connected services such as mail, calendar, Google Drive, chat history and the memory store via Copilot's built-in URL fetch to an attacker webhook. A separate memory-poisoning path through web summarization lets a crafted page persist attacker instructions in the user's memory, surviving password changes, session revocation and device re-enrollment. Microsoft shipped patches on August 18, 2026, tracked as CVE-2026-24301, and Varonis found no evidence of in-the-wild exploitation. The flaws were found via 'meta-hacking', asking Copilot itself to reveal the autorun parameter and its protections.

Microsoft Investigating Microsoft 365 Copilot Access Issues Under Incident CP1470554

Microsoft is investigating a Microsoft 365 Copilot access disruption tracked as incident CP1470554, with no root cause or recovery timeline published.

Microsoft is investigating reports that users cannot open Microsoft 365 Copilot or encounter errors when interacting with it, tracked under Service Health incident CP1470554 in the Microsoft 365 admin center. The company has not disclosed a root cause, affected regions, or estimated recovery time. It follows several distinct Copilot availability failures between late August and September 10, including an authentication-configuration outage and a Copilot Chat configuration fault. Microsoft says the issue is not a breach or cyberattack and directs tenant admins to the Service Health Dashboard.

Cyber Security Newsupdated · 23h agofirst · 6d agoAI industry 2 sources1

The Outsized Shadow: Why 5% of AI Users Are Your Biggest Security Risk

Akamai's 2026 Enterprise AI Usage report finds the top 5% of AI power users create outsized shadow AI, data leakage, and agent security risks.

Akamai's State of the Internet: Enterprise AI Usage Risk Report 2026, based on real-world usage telemetry, finds the top 5% of enterprise AI power users interact with AI models at 12 times the rate of the bottom 50% of the workforce. 47.11% of enterprise AI conversations occur through personal identities rather than corporate-managed accounts, and 14.4% run through corporate email addresses tied to personal freemium subscriptions. 17.7% of employees at midsize enterprises use AI browser or IDE extensions, of which 16.31% contain known CVE vulnerabilities and nearly 75% request high or critical permissions. The report also describes emerging attack vectors including Vibe Hacking, CursorJacking, and CometJacking indirect prompt injection.

The Hacker News · 23d agoAI safety & security1

Microsoft says virtually nobody was grabbing NYT articles through its chatbot

Microsoft files summary judgement briefs in NYT copyright lawsuit, arguing only 59,545 of 8.2M Copilot logs show substantial overlap with news content.

Microsoft filed new legal filings in the consolidated copyright lawsuit brought by The New York Times, authors, and publishers against Microsoft and OpenAI, arguing for summary judgement. Analysis of 8.2 million Copilot chat logs found only 59,545 contained at least 16 words in common with news content, with just 24 responses showing at least 30 matching words in the authors' case. Microsoft argues the numbers support fair use, claiming Copilot rarely reproduces substantive chunks; the Times says discovery shows Microsoft and OpenAI stole from it, and the Trump administration filed a statement of interest supporting OpenAI.

The Verge · AI · 12d agoAI policy2

Opaque recurrence, and other AI terms that you should probably know

TechCrunch updates its plain-English glossary defining common AI terms from AGI and agents to chain-of-thought reasoning.

TechCrunch maintains a regularly updated glossary of AI terminology, defining terms such as AGI, AI agents, API endpoints, chain of thought, coding agents, compute, deep learning, and diffusion. It highlights 'opaque recurrence', the reasoning technique in OpenAI's new Astra model that has drawn attention from AI safety researchers. The piece is an educational living document rather than new research or a product announcement.

TechCrunch · AI · 9d agoAI industry1

Who's governing your AI? A trust framework for enterprise agents and models

DigiCert pitches AI Trust framework using PKI, DNS policy records and workload identity to govern shadow AI agents across enterprises.

The Register-sponsored piece outlines DigiCert's AI Trust framework for governing AI agents, built on PKI, DNS, and attestation, citing IBM's 2026 Cost of a Data Breach report that 68% of organizations lack AI governance or shadow AI detection. The approach treats agent identity as workload identity aligned with IETF WIMSE, NIST CSF 2.0, and SPIFFE/SPIRE, using short-lived credentials instead of static API keys. DigiCert also proposes DMARC-style DNS agent policy records and an AI Agent Passport cryptographically binding agent identity to approved operations, with a unified kill switch.

The Register · Security · 1d agoAI safety & security1

Most Organizations Skip Permissions Reviews Before Deploying AI Tools

Syskit survey of 327 US/UK IT leaders finds 76% deployed M365 AI tools but only 43% reviewed permissions and oversharing risk first.

Syskit's State of Microsoft 365 Governance Report 2026, based on a survey of 327 IT and security decision-makers at US and UK organizations with 500+ employees, shows most enterprises deploy AI tools like Copilot without thorough permissions reviews. Only 22% have a formal policy defining what AI agents may access, and 9% let agents inherit the deployer's full permissions. 90% report experiencing or suspecting a security incident tied to M365 misconfigurations or over-permissioned access in the past two years.

Infosecurity Magazine · 6d agoAI safety & security2· 1 read

Meta bets on AI agent Muse to catch up in AI race

Meta launched Muse, a free personal AI agent in the US that autonomously shops, emails, and plans trips, powered by its in-house Muse Spark model.

Meta unveiled Muse, a consumer personal AI agent that handles tasks like online shopping, emailing, and trip planning, continues working in the background, and requests approval for purchases. It launches in the US on iOS, Android, and muse.ai, is free for most users with unspecified paid tiers, and runs on Meta's in-house Muse Spark model. Muse executes on a cloud virtual machine with a Sentinel agent policing outbound actions, and Meta promises an encrypted confidential VM later this year plus 1Password, Shop Pay, and Stripe Link support. The launch is positioned as the centerpiece of Meta's effort to catch up with OpenAI, Anthropic, and Google.

The Verge · AI · 8d agoAI industry 3 sources1

Seattle Times and Newsday sue OpenAI and Microsoft for infringement

The Seattle Times and Newsday sued OpenAI and Microsoft for copyright infringement, seeking destruction of datasets and models trained on their journalism.

The Seattle Times and Newsday allege OpenAI used their journalism as training data without permission and that its chatbots reproduce passages of their reporting, seeking destruction of copies of their works, training datasets, and AI models that incorporate them. Microsoft is named as co-defendant because Copilot is built on OpenAI technology. The suit follows similar actions by The New York Times, Ziff Davis, Merriam-Webster, Encyclopedia Britannica, and nearly 400 local newspapers.

The Verge · AI · 10d agoAI policy1

Microsoft’s Project Zenith is a ‘distraction-free Windows experience’ for developers

Microsoft branded its developer-optimized Windows setup Project Zenith, with 64GB+ memory devices from AMD that run 30B+ parameter AI models locally.

Microsoft named its developer-focused Windows configuration Project Zenith, targeting new hardware with 64GB or more of unified memory. AMD unveiled the first Project Zenith device at IFA, a miniature PC powered by Ryzen AI Halo chips, with more devices expected in the coming months. The setup ships with a preconfigured Windows install and preinstalled developer tools including Visual Studio Code, GitHub Copilot, PowerToys, WinAppCLI, and Windows Dev Skills. Microsoft says it lets developers run 30B+ parameter models locally and unmetered, reducing reliance on metered cloud tokens.

The Verge · AI · 13d agoAI industry1

Seattle Times and Newsday are the latest publications to sue OpenAI and Microsoft

The Seattle Times and Newsday sued OpenAI and Microsoft over alleged unlicensed use of their journalism for AI training, joining a wave of publisher lawsuits.

The Seattle Times and Newsday filed a copyright lawsuit against OpenAI and Microsoft, arguing generative AI products like ChatGPT and Copilot are 'rapacious consumers' of human-authored journalism that return derivative imitations. The suit follows The New York Times' 2023 case against the companies and other publisher lawsuits. A Microsoft spokesperson said the company was surprised but always happy to explore solutions; the outlets have received Microsoft funding for journalism projects and fellowships.

TechCrunch · AI · 11d agoAI policy2

macOS 27 Golden Gate – Review

Ars Technica reviews macOS 27 Golden Gate, highlighting an unavoidable Apple Intelligence upgrade, new AFM 3 Core models, and dropped Intel Mac support.

macOS 27 Golden Gate delivers the first significant Apple Intelligence upgrade two years after launch, and the toggle to disable the AI features or delete downloaded models is gone. Apple Intelligence runs on a new AFM 3 Core model built in collaboration with Google, while the more capable AFM 3 Core Advanced requires an M3 chip and at least 12GB of RAM. The release drops all Intel Mac support, requiring Apple Silicon, with Sequoia security updates expected to end in fall 2027 and Tahoe's in 2028.

[AINews] 10% worse, 100x cheaper, 10000x faster: Why Simulation is taking over

Latent Space argues AI training pipeline stages—rewards, data, teachers, curricula, environments—are flipping from human-made to model-made simulation.

Latent Space's AINews essay traces how each component of AI training has turned synthetic since 2022: reward models (InstructGPT, RLAIF), synthetic pretraining data (Microsoft Phi, NVIDIA Nemotron-4 340B), model teachers (Alpaca, DeepSeek-R1 distillation), and self-generated curricula (Self-Rewarding Language Models, SPIN). In 2026 it highlights Karpathy's autoresearch loop—700 experiments yielding 20 kept improvements, cutting GPT-2 training time from 2.02 to 1.80 hours—and Z.ai's GLM-5.3 fully synthetic RL environment, judging, and verification stack. It frames these shifts as 'simulation': 10% worse but 100x cheaper and 10,000x faster than human equivalents.

Latent Space · 26d agoAI industry