Cybersecurity Excellence Awards Reveal Nomination Shift from AI Hype to Governance Execution

Washington DC, USA, 17th February 2026, CyberNewswire...

My Day Getting My Hands Dirty with an NDR System

My objective As someone relatively inexperienced with network threat hunting, I wanted to get some hands-on experience using a network detection and response NDR system. My goal was to understand how NDR is used in hunting and incident response, and how it fits into the daily workflow of a Securi...

The Promptware Kill Chain

Attacks against modern generative artificial intelligence AI large language models LLMs pose a real threat. Yet discussions around these attacks and their potential defenses are dangerously myopic. The dominant narrative focuses on "prompt injection," a set of techniques to embed instructions int...

What Hackers Talk about When They Talk about AI: Early-Stage Diffusion of a Cybercrime Innovation

The rapid expansion of artificial intelligence AI is raising concerns about its potential to transform cybercrime. Beyond empowering novice offenders, AI stands to intensify the scale and sophistication of attacks by seasoned cybercriminals. This paper examines the evolving relationship between...

Intellicise Wireless Networks Meet Agentic AI: A Security and Privacy Perspective

Intellicise Intelligent and Concise wireless network is the main direction of the evolution of future mobile communication systems, a perspective now widely acknowledged across academia and industry. As a key technology within it, Agentic AI has garnered growing attention due to its advanced...

Secure and Energy-Efficient Wireless Agentic AI Networks

In this paper, we introduce a secure wireless agentic AI network comprising one supervisor AI agent and multiple other AI agents to provision quality of service QoS for users' reasoning tasks while ensuring confidentiality of private knowledge and reasoning outcomes. Specifically, the supervisor ...

Static Design to Adaptive Control: How Artificial Intelligence Improves Modern Material Handling Equipment Systems

AI enables material handling systems to adapt to demand volatility through predictive design, dynamic control, and smarter maintenance without replacing core engineering...

Google Reports State-Backed Hackers Using Gemini AI for Recon and Attack Support

Google on Thursday said it observed the North Korea-linked threat actor known as UNC2970 using its generative artificial intelligence AI model Gemini to conduct reconnaissance on its targets, as various hacking groups continue to weaponize the tool for accelerating various phases of the cyber...

Understand the Shift Toward AI-Driven Interactions: ​A Guide to MCP

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Criminals are using AI website builders to clone major brands

AI tool Vercel was abused by cybercriminals to create a Malwarebytes lookalike website. Cybercriminals no longer need design or coding skills to create a convincing fake brand site. All they need is a domain name and an AI website builder. In minutes, they can clone a site's look and feel, plug i...

The strategic SIEM buyer’s guide: Choosing an AI-ready platform for the agentic era

As the agentic era reshapes security operations, leaders face a strategic inflection point: legacy security information and event management SIEM solutions and fragmented toolchains can no longer keep pace with the scale, speed, and complexity of modern cyberthreats. Organizations can choose to...

GitGuardian Raises $50M Series C to Address Non-Human Identities Crisis and AI Agent Security Gap

New York, NY, 11th February 2026, CyberNewswire...

North Korea-Linked UNC1069 Uses AI Lures to Attack Cryptocurrency Organizations

The North Korea-linked threat actor known as UNC1069 has been observed targeting the cryptocurrency sector to steal sensitive data from Windows and macOS systems with the ultimate goal of facilitating financial theft. "The intrusion relied on a social engineering scheme involving a compromised...

SecureScan: An AI-Driven Multi-Layer Framework for Malware and Phishing Detection Using Logistic Regression and Threat Intelligence Integration

The growing sophistication of modern malware and phishing campaigns has diminished the effectiveness of traditional signature-based intrusion detection systems. This work presents SecureScan, an AI-driven, triple-layer detection framework that integrates logistic regression-based classification,...

HCL AION Command Injection Vulnerability

HCL AION is an AI lifecycle management platform from HCL India. HCL AION suffers from a command injection vulnerability that can be exploited by an attacker to execute arbitrary commands on the system...

80% of Fortune 500 use active AI Agents: Observability, governance, and security shape the new frontier

Today, Microsoft is releasing the new Cyber Pulse report to provide leaders with straightforward, practical insights and guidance on new cybersecurity risks. One of today’s most pressing concerns is the governance of AI and autonomous agents. AI agents are scaling faster than some companies can s...

Manipulating AI memory for profit: The rise of AI Recommendation Poisoning

That helpful "Summarize with AI" button? It might be secretly manipulating what your AI recommends. Microsoft security researchers have discovered a growing trend of AI memory poisoning attacks used for promotional purposes, a technique we call AI Recommendation Poisoning. Companies are embedding...

Intel AI Playground 代码问题漏洞

Intel AI Playground is an online platform operated by Intel Corporation in the United States. Versions of Intel AI Playground prior to version 2.6.1 beta contained code vulnerabilities due to uncontrolled search paths, which could lead to privilege escalation...

PT-2026-7306

Name of the Vulnerable Software and Affected Versions AI Playground versions prior to 2.6.1 beta Description An uncontrolled search path exists in some AI Playground versions prior to 2.6.1 beta within Ring 3: User Applications, potentially allowing for privilege escalation. An unprivileged...

SAFuzz: Semantic-Guided Adaptive Fuzzing for LLM-Generated Code

While AI-coding assistants accelerate software development, current testing frameworks struggle to keep pace with the resulting volume of AI-generated code. Traditional fuzzing techniques often allocate resources uniformly and lack semantic awareness of algorithmic vulnerability patterns, leading...