PCAPdroid is a free, open-source Android app that allows inspection of network traffic. Installation is straightforward and does not require creating an account. To begin capturing traffic, a VPN request must be accepted, which allows the app to monitor network activity. Once permission is granted, tapping the play button starts PCAPdroid, which then runs in the background until stopped. Viewing connections The Connections tab displays active and past connections. For each entry, it shows which …

Most enterprises run security programs across sprawling environments that include mobile devices, SaaS applications, cloud infrastructure, and telecom networks. Spend control in these areas often sits outside the security organization, even when the operational consequences land directly on security teams. Tangoe’s 2026 Trends & Savings Recommendations Report connects these cost domains to recurring governance failures that create risk exposure across identity, endpoint management, and infrastructure visibility. The report focuses on IT expense management across three …

I often get asked about the cheap power banks on the internet that have bold claims. Well, I bought one, and this is my verdict.

After a string of high-profile breaches, the password manager's new CEO says security is now at the 'very heart' of what it does.

Microsoft has announced Windows 11 26H1, but it's not for existing PCs. Instead, it will ship on devices with Snapdragon X2 processors and possibly other rumored ARM chips.w [...]

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Both your laptop and hearing device must be compatible with Bluetooth LE Audio to use the latest connectivity feature.

A newly documented Linux botnet named SSHStalker is using the IRC (Internet Relay Chat) communication protocol for command-and-control (C2) operations. [...]

Microsoft Patch Tuesday security updates for February 2026 fix six actively exploited zero-day vulnerabilities. Microsoft Patch Tuesday security updates for February 2026 fix 58 new security flaws across Windows, Office, Azure, Edge, Exchange, Hyper-V, WSL, and other components, rising to 62 CVEs when third-party updates are included. Five vulnerabilities are Critical, two Moderate, and most […]

In the HELIOS Singapore study, Llettuce mapped 400 informal medication names to OMOP standard concepts. Combining vector search and a local LLM, it outperformed traditional string-matching tools like Usagi and ran locally on consumer hardware, preserving patient confidentiality. Llettuce shows that AI can streamline healthcare data standardization while maintaining GDPR compliance.

Llettuce uses AI to automate mapping informal medical terms to OMOP standard concepts. Its architecture combines a local LLM, vector-based semantic search, and database queries. Users can interact via GUI or API, uploading terms or files, while results are displayed clearly. Llettuce ensures accurate, GDPR-compliant healthcare data conversion without requiring cloud services.

North Korean hackers are running tailored campaigns using AI-generated video and the ClickFix technique to deliver malware for macOS and Windows to targets in the cryptocurrency sector. [...]

A global survey of 4,149 IT and security practitioners finds that while three-quarters (75%) expect a quantum computer will be capable of breaking traditional public key encryption within five years, only 38% at this point in time are preparing to adopt post-quantum cryptography. Conducted by the Ponemon Institute on behalf of Entrust, a provider of..

Roses are red, violets are blue ... now get patching What better way to say I love you than with an update? Attackers exploited a whopping six Microsoft bugs as zero-days prior to Redmond releasing software fixes on February's Patch Tuesday.…

Mapping medical terms to OMOP standard concepts is complex, often requiring time-consuming manual review. Llettuce, an open-source AI tool, automates this process using large language models, fuzzy matching, and database queries. Running locally, it preserves GDPR compliance while delivering high accuracy in converting informal patient-reported terms into standardized medical concepts.

The User Trust Probe is a way to measure the accuracy of AI. It asks: Does the agent’s interpretation match the user's meaning? And if not, is that interpretation correctable?

The beauty of an Agent Skill lies in its simplicity. It is essentially a markdown file (SKILL.md) that functions as a context injection module. It gives the agent “muscle memory” for a specific  topic.

Ethereum has emerged as DeFi’s dominant settlement layer by prioritizing modular scaling, composability, and battle-tested security, quietly absorbing rivals as hype cycles fade.

AI models can misuse generated images to train new models without permission. This research introduces a method to trace a suspicious model’s training data to its source using inherent memorization patterns. The approach achieves over 80% instance-level accuracy and 85% statistical-level accuracy, reliably identifying infringing models without altering the original AI or its outputs.

Text-to-image models are often misused when attackers train new models on outputs from commercial models. This paper introduces an injection-free method to identify whether a suspicious model’s training data comes from a source model. Leveraging inherent memorization patterns, the approach achieves over 80% instance-level accuracy and 85% statistical-level accuracy without altering the source model.

The CyberWire podcast discusses various cybersecurity threats and developments. ZeroDayRAT, a new spyware kit, can fully compromise both Android and iOS devices. The UK government is urging infrastructure operators to be proactive against severe cyberattacks. Russia is restricting access to Telegram. The FTC is emphasizing data privacy by addressing data sales to foreign adversaries. Researchers are analyzing DeadVax, a stealthy malware campaign, and a resurfaced old-school Linux botnet. BeyondTrust has patched a critical remote code execution vulnerability. The rapid development of AI is raising concerns about potential safety risks, with some researchers demonstrating how to bypass safety mechanisms. The guest is Omer Akgul, discussing LLM consistency metrics for cybersecurity. A county paid a significant sum to pentesters for assessing courthouse security.

Text-to-image models are often misused when attackers train new models on outputs from commercial models. This paper introduces an injection-free method to identify whether a suspicious model’s training data comes from a source model. Leveraging inherent memorization patterns, the approach achieves over 80% instance-level accuracy and 85% statistical-level accuracy without altering the source model.

Ravasend is a crypto-to-bank off-ramp built for emerging markets, focused on delivering predictable, minutes-level settlement for time-critical real-world payments.

Test Data Management tools for 2026 ranked for QA and DevOps teams, comparing speed, self service, masking, CI/CD fit, and enterprise readiness.

AI has quietly changed compute from stable infrastructure into a market with volatility, pricing signals, and performance variance. Identical GPUs no longer behave the same, token pricing introduces financial risk, and cost, capacity, and performance are tightly linked. Teams that rely on static planning tools are flying blind. The winners treat compute as something to actively navigate—not just provision.