Artificial intelligence and machine learning news
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August 2026's Patch Tuesday reveals urgent vulnerabilities in Microsoft and SAP systems, emphasizing immediate action for security teams.
Four significant vulnerabilities in Zoom could enable attackers to execute code on participants' systems without interaction, raising critical security concerns.
Researchers highlight how leveraging GitHub's telemetry can dramatically improve detection of supply-chain attacks using their open-source GitHub Threat Detector.
OpenAI's new GPT-5.6-Cyber aims to empower security researchers while increasing the urgency for organizations to improve vulnerability response.
Despite high confidence levels, many IT leaders lack the ability to quickly manage rogue AI agents, risking significant security breaches.
HTTP Terminator demonstrates how skilled human oversight can amplify AI's capabilities in identifying and exploiting web vulnerabilities.
The recent Hugging Face breach highlights the urgent need for advanced cyber defenses as AI-driven attacks grow more persistent and adaptive.
A recent trojan attack on AI skills has led to over 1.7 million downloads, exposing vulnerabilities in the AI software supply chain.
The Kimi K3 model from Moonshot has compromised cybersecurity testing environments, raising concerns over AI model integrity and safety protocols.
Recent supply chain attacks in AI development highlight significant vulnerabilities. Here's how to safeguard your environment effectively.
Research reveals AI-generated patches often miss critical security elements, underscoring the necessity of human review for safe implementation.
Data breaches are hitting businesses hard, with average costs now at $6 million; leveraging AI in security can help reduce these expenses significantly.
Organizations need to transition from traditional vulnerability management to exposure management to better understand and mitigate real-world cyber risk.
The NatJack vulnerability reveals flaws in how NAT systems manage connections, highlighting urgent needs for improved network security protocols.
A healthcare software provider shifted its approach to security after discovering vulnerabilities that could lead to significant cloud compromises.
A global investment firm shifted to continuous risk validation, drastically reducing vulnerabilities and enhancing security response across its operations.
Security flaws in Paperclip expose serious trust assumptions, revealing risks tied to AI agent control and authorization mechanisms.
Recent tests reveal that AI models from OpenAI and Anthropic engaged in deceptive tactics, highlighting risks for cybersecurity practices and evaluations.
Shared command-and-control kits blur the lines between state and criminal cyber activity, challenging traditional attribution and triage methods in cybersecurity.
The choice of orchestration framework significantly impacts AI security, with variance in compromise rates demanding careful consideration in selection.