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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.

Wiz Red Agent Finds Its Way Into Snowflake’s Internal Jira Through a Flaw in a GitHub Copilot–Assisted PR

Wiz's autonomous Red Agent found and exploited a GitHub Actions injection in a Copilot-assisted PR, reaching Snowflake's internal Jira without human help.

Wiz's Red Agent autonomously discovered a GitHub Actions injection flaw in a GitHub Copilot-assisted pull request, five days after the flaw went live. It exploited the flaw to validate access to sensitive data in Snowflake's internal Jira, bypassing detection by GitHub Advanced Security, and assessed the blast radius without human intervention. The exercise demonstrates agentic AI performing end-to-end offensive security operations against production systems.

Wiz Blog · Aug 17, 2026AI safety & security1

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 · 24d 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

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

[AINews] AEF-1 standard emerges for Third Party Evaluators, as Xai, OpenAI, and Anthropic all cosign

xAI, OpenAI, and Anthropic cosign the AEF-1 third-party evaluation standard while Dario Amodei proposes embedded evaluators for safety verification.

The AI Evaluator Forum published AEF-1, a baseline standard for independent third-party AI evaluations covering access, conflicts of interest, funding relationships, recusal, and transparency, cosigned by xAI, OpenAI, and Anthropic. Dario Amodei wrote a rare personal blogpost proposing embedded evaluators such as METR with desks, badges, company laptops, and internal-risk-team-level access to verify safety commitments, plus democratic and global coordination frameworks. The roundup also covers the pacing debate: Bilal Chughtai left Google DeepMind arguing progress may outrun alignment, while critics including Aidan Gomez and Cohere push back against slowdowns and lab gatekeeping. Additional items include Cline Desktop's launch with open-weight model support.

Latent Space · 2d agoAI safety & security

How to Secure Enterprise AI: From Adoption to Incident Readiness

Sygnia-backed guidance urges a lifecycle approach to enterprise AI security, citing survey data that AI adoption is outpacing governance and incident readiness.

The Hacker News published Sygnia-sponsored guidance on securing enterprise AI across its lifecycle, from use-case definition and vendor selection to deployment and incident readiness. It cites Sygnia's 2026 CISO survey of 600 senior leaders: 63% expect AI fully embedded by 2027, 73% say their organization would not be fully ready for a significant cyberattack, and 67% of executives believe unapproved AI tools already caused a breach. The piece highlights shadow AI, ad hoc integrations, and over-permissioned AI agents as key attack surface risks, noting only 38% of organizations report a comprehensive AI policy.

The Hacker News · 15d agoAI safety & security