data
Cybercriminals are going after law firms’ sensitive client data – Help Net Security
Regardless of their size, all law firms hold valuable data, including client communications, financial records, and confidential legal strategies. That data has never been more at risk. Cybercriminals are targeting law firms by exploiting vulnerabilities, weak passwords, outdated systems, and untrained staff. Experts say law firms fall into three groups when it comes to cybersecurity….
Meet ShadowLeak: ‘Impossible to detect’ data theft using AI
For years threat actors have used social engineering to trick employees into helping them steal corporate data. Now a cybersecurity firm has found a way to trick an AI agent or chatbot into bypassing its security protections. What’s new is that the exfiltration of the stolen data evades detection by going through the agent’s cloud…
How to Completely Destroy a Hard Drive: The Ultimate Guide to Data Security
In the digital age, our lives are stored on computers, from personal photos and financial records to confidential work documents. When it’s time to upgrade or dispose of an old computer, laptop, or Mac, the hard drive often contains a treasure trove of sensitive data. Simply deleting files or reformatting the drive is insufficient to…
SerpApi: A Complete API For Fetching Search Engine Data — Smashing Magazine
From competitive SEO research and monitoring prices to training AI and parsing local geographic data, real-time search results power smarter apps. Tools like SerpApi make it easy to pull, customize, and integrate this data directly into your app or website. SerpApi leverages the power of search engine giants, like Google, DuckDuckGo, Baidu, and more, to…
A Coding Guide to Implement Zarr for Large-Scale Data: Chunking, Compression, Indexing, and Visualization Techniques
In this tutorial, we take a deep dive into the capabilities of Zarr, a library designed for efficient storage & manipulation of large, multidimensional arrays. We begin by exploring the basics, creating arrays, setting chunking strategies, and modifying values directly on disk. From there, we expand into more advanced operations such as experimenting with chunk…
GitHub – YuminosukeSato/pyproc: Call Python from Go without CGO or microservices – Unix domain socket based IPC for ML inference and data processin
Run Python like a local function from Go — no CGO, no microservices. 🎯 Purpose & Problem Solved Go excels at building high-performance web services, but sometimes you need Python: Machine Learning Models: Your models are trained in PyTorch/TensorFlow Data Science Libraries: You need pandas, numpy, scikit-learn Legacy Code: Existing Python code that’s too costly…
From Data To Decisions: UX Strategies For Real-Time Dashboards — Smashing Magazine
Real-time dashboards are decision assistants, not passive displays. In environments like fleet management, healthcare, and operations, the cost of a delay or misstep is high. Karan Rawal explores strategic UX patterns that shorten time-to-decision, reduce cognitive overload, and make live systems trustworthy. I once worked with a fleet operations team that monitored dozens of vehicles…
3 Questions: On biology and medicine’s “data revolution”
Caroline Uhler is an Andrew (1956) and Erna Viterbi Professor of Engineering at MIT; a professor of electrical engineering and computer science in the Institute for Data, Science, and Society (IDSS); and director of the Eric and Wendy Schmidt Center at the Broad Institute of MIT and Harvard, where she is also a core institute and scientific…
Under lock and key: Safeguarding business data with encryption
As the attack surface expands and the threat landscape grows more complex, it’s time to consider whether your data protection strategy is fit for purpose 05 Sep 2025 • , 5 min. read A single security breach can jeopardize everything you’ve built. The theft of intellectual property and confidential customer data can result in a…
3 Questions: The pros and cons of synthetic data in AI
Synthetic data are artificially generated by algorithms to mimic the statistical properties of actual data, without containing any information from real-world sources. While concrete numbers are hard to pin down, some estimates suggest that more than 60 percent of data used for AI applications in 2024 was synthetic, and this figure is expected to grow…