1684 matches found
PT-2026-34832
Critical vulnerability in Anthropic Mythos and reported NSA adoption CVE-2026-21841 https://t.co/ZwHNBc0RF8 machinelearning ai...
AI-powered defense for an AI-accelerated threat landscape
We are at an inflection point in cybersecurity. Recent advances in AI model capabilities are changing how vulnerabilities are discovered and exploited. AI models can autonomously discover weaknesses, chain multiple lower-severity issues into working end-to-end exploits, and produce working...
AI Tools Are Helping Mediocre North Korean Hackers Steal Millions
One group of hackers used AI for everything from vibe coding their malware to creating fake company websites—and stole as much as $12 million in three months...
Wiz at Google Next: Machine-Speed Defense for Any Cloud, Any Platform, Any AI
Announcing new capabilities at Google Cloud Next that extend and deepen Wiz AI-APP coverage: From the first line of AI-generated code, across AI and agent studios, to the edge of the cloud...
AVISE: Framework for Evaluating the Security of AI Systems
As artificial intelligence AI systems are increasingly deployed across critical domains, their security vulnerabilities pose growing risks of high-profile exploits and consequential system failures. Yet systematic approaches to evaluating AI security remain underdeveloped. In this paper, we...
The Ungoverned Workforce: Cybersecurity Insiders Finds 92% Lack Visibility Into AI Identities
Washington D.C., USA, 21st April 2026, CyberNewswire...
HONEYPOTX-AI-Powered-Cyber-Threat-Detection-System
No d...
Understanding Password Preferences, Memorability, and Security through a Human-Centered Lens
Passwords remain the primary authentication method, yet user-created passwords are often the weakest due to the security-usability trade-off. Although AI-based password generators are emerging, little is known about their effectiveness and user perceptions. This eye-tracking study examined how...
Insights into Security-Related AI-Generated Pull Requests
Recent years have experienced growing contributions of AI coding agents that assist human developers in various software engineering tasks. However, this growing AI-assisted autonomy raises questions about security and trust. In this paper, we analyze more than 33,000 AI-generated pull requests P...
AgentSOC: A Multi-Layer Agentic AI Framework for Security Operations Automation
Security Operations Centers SOCs increasingly encounter difficulties in correlating heterogeneous alerts, interpreting multi-stage attack progressions, and selecting safe and effective response actions. This study introduces AgentSOC, a multi-layered agentic AI framework that enhances SOC...
How to Remove Objects from Video: AI Tools & Pro Tips (2026)
Remove unwanted objects from video effortlessly with AI in 2026. Learn step-by-step methods, best tools, and pro tips to clean up your footage like a professional...
The AI Threat Multiplier: Why Architectural Flaws Are the New Frontier
AI has put an end to the era of evaluating CVEs in isolation. The most critical risks now emerge when legacy state machines meet asynchronous execution...
ExploitIQ
⚡ ExploitIQ Autonomous AI-Powered Penetration Testing Assis...
CVE-2026-6597
A weakness has been identified in langflow-ai langflow up to 1.8.3. Impacted is the function removeapikeys/hasapiterms of the file src/backend/base/langflow/api/utils/core.py of the component Flow Using API. This manipulation causes unprotected storage of credentials. The attack can be initiated...
CVE-2026-6596
A security flaw has been discovered in langflow-ai langflow up to 1.1.0. This issue affects the function createuploadfile of the file src/backend/base/Langflow/api/v1/endpoints.py of the component API Endpoint. The manipulation results in unrestricted upload. It is possible to launch the attack...
Explainable Attention-Based LSTM Framework for Early Detection of AI-Assisted Ransomware Via File System Behavioral Analysis
Ransomware continues to evolve as one of the most disruptive cyber threats, with recent variants increasingly leveraging automated and AI-assisted techniques to evade traditional signature-based defenses. Early detection of such attacks remains a significant challenge, particularly when malicious...
Server-side Request Forgery (SSRF)
Overview @nocobase/plugin-ai is a Create AI employees with diverse skills to collaborate with humans, build systems, and handle business operations. Affected versions of this package are vulnerable to Server-side Request Forgery SSRF via the workflow HTTP request and custom request plugins, which...
Important: Red Hat Security Advisory: Red Hat AI Inference Server 3.3.1 (ROCm)
Red Hat AI Inference Server 3.3.1 ROCm is now available. Red Hat® AI Inference Server...
Important: Red Hat Security Advisory: RHTAS 1.4 - GA Release of Model Transparency
The GA release of the RHTAS Model Transparency CLI image. For more details please visit the product documentation at https://access.redhat.com/documentation/en-us/redhattrustedartifactsigner/1.4 The RHTAS Model Transparency CLI image can be used to sign and verify AI/ML workloads...