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Dark Reading
New cybersecurity startup Aurascape emerged from stealth today with an AI-native security platform to automate security policies for AI applications.
The Hacker News
Wing Security announced today that it now offers free discovery and a paid tier for automated control over thousands of AI and AI-powered SaaS applications. This will allow companies to better protect their intellectual property (IP) and data against the growing and evolving risks of AI usage. SaaS applications seem to be multiplying by the day, and so does their integration of AI
ZDNet Security
The Singapore-led initiative aims to provide a standard set of benchmarks to assess generative AI products, pooling resources from big market players that include Anthropic, Google, and Microsoft.
Dark Reading
ChatGPT usage growing 25% monthly in enterprises, prompting key decisions to block or enable based on security, productivity concerns.
Check Point Research
Key Points Introduction Infostealers commonly target browser passwords, session cookies, and cryptocurrency wallets. This malware combines those established capabilities with dedicated collection routines for AI applications and development tools. Its targets include Claude, ChatGPT Desktop, Codex, Cursor, Windsurf, and GitHub Copilot, alongside cloud credentials and sensitive files from local development environments. This expanded targeting reflects […] The post appeared first on . Infostealer riding the AI Train Check Point Research
The Hacker News
Threat actors are exploiting a critical security flaw in Langflow, according to an alert from Previdian. Langflow is an open-source platform that allows developers to build artificial intelligence (AI) applications and agentic workflows. In February 2025, DataStax, the parent company of Langflow, was acquired by IBM. The vulnerability in question is CVE-2026-105740 (CVSS score: 9.9), a case of
Dark Reading
The 'Breaking' News: The OpenAI–Hugging Face Incident - A Technical Reconstruction and Its Implications for AI At this Black Hat USA 2026 talk, OpenAI security engineers and researchers will reconstruct the OpenAI-Hugging Face incident and examine its implications for AI security, cyber resilience, and alignment. Throughout the session, they will share insights that address key topics raised by the Black Hat Review Board, including model safeguards, evaluation and containment practices, defensive use cases for AI, and the broader implications of increasingly autonomous systems for the cybersecurity community. The session will trace the models' attack path, including how frontier models are sandboxed during evaluations, how the models exploited a zero-day vulnerability to gain internet access, and how they identified and leveraged a remote code execution path on Hugging Face infrastructure. Drawing on the joint investigation, the speakers will explain how the activity was detected, contained, and investigated. They will also discuss the changes OpenAI is making to strengthen evaluation environments, containment controls, and monitoring capabilities, as well as the role AI systems played in supporting the investigation and response. In addition to the technical reconstruction of the incident, the session will address broader questions relevant to the security community, including lessons for improving AI system security, defensive applications of AI in incident response, and approaches to mitigating emerging risks associated with increasingly capable models. The discussion will also examine alignment challenges associated with long-running agents, including reward hacking, shifts in model behavior and persona over extended trajectories, and information sharing across multi-agent systems. Finally, the speakers will explore what this incident suggests about emerging AI cyber capabilities and how organizations can use AI to strengthen prevention, detection, investigation, and response efforts.
Bleeping Computer
Threat actors are exploiting an unauthenticated remote code execution vulnerability (CVE-2026-0768) in Langflow, an open-source framework for building AI applications, to steal credentials, tokens, and keys. [...]
The Hacker News
As many as 144 npm packages associated with the Mastra namespace ("@mastra/*"), a popular open-source JavaScript and TypeScript framework for building artificial intelligence (AI) applications, have been compromised as part of a software supply chain attack codenamed easy-day-js, per findings from JFrog, SafeDep, Socket, and StepSecurity. "A single npm account (ehindero) mass-published more
The Hacker News
Shadow AI used to mean employees pasting things they shouldn't into ChatGPT. It now means something bigger: employees building full applications with AI, wiring them into production systems, and publishing them on the open internet. Without Security or IT in the loop. The artifact moved from a prompt to a product. The risk surface moved with it. In The Shadow Builders report (get it here), a