data science | Breaking Cybersecurity News | The Hacker News

Malicious actors are exploiting misconfigured JupyterLab and Jupyter Notebooks to conduct stream ripping and enable sports piracy using live streaming capture tools. The attacks involve the hijack of unauthenticated Jupyter Notebooks to establish initial access, and perform a series of actions designed to facilitate illegal live streaming of sports events, Aqua said in a report shared with The Hacker News. The covert piracy campaign within interactive environments widely used for data science applications was discovered by the cloud security firm following an attack against its honeypots. "First, the attacker updated the server, then downloaded the tool FFmpeg ," said Assaf Morag, director of threat intelligence at cloud security firm Aqua. "This action alone is not a strong enough indicator for security tools to flag malicious activity." "Next, the attacker executed FFmpeg to capture live streams of sports events and redirected them to their server....

Cybersecurity researchers are warning about the security risks in the machine learning (ML) software supply chain following the discovery of more than 20 vulnerabilities that could be exploited to target MLOps platforms. These vulnerabilities, which are described as inherent- and implementation-based flaws, could have severe consequences, ranging from arbitrary code execution to loading malicious datasets. MLOps platforms offer the ability to design and execute an ML model pipeline, with a model registry acting as a repository used to store and version-trained ML models. These models can then be embedded within an application or allow other clients to query them using an API (aka model-as-a-service). "Inherent vulnerabilities are vulnerabilities that are caused by the underlying formats and processes used in the target technology," JFrog researchers said in a detailed report. Some examples of inherent vulnerabilities include abusing ML models to run code of the attacker...

In recent years, artificial intelligence (AI) has begun revolutionizing Identity Access Management (IAM), reshaping how cybersecurity is approached in this crucial field. Leveraging AI in IAM is about tapping into its analytical capabilities to monitor access patterns and identify anomalies that could signal a potential security breach. The focus has expanded beyond merely managing human identities — now, autonomous systems, APIs, and connected devices also fall within the realm of AI-driven IAM, creating a dynamic security ecosystem that adapts and evolves in response to sophisticated cyber threats. The Role of AI and Machine Learning in IAM AI and machine learning (ML) are creating a more robust, proactive IAM system that continuously learns from the environment to enhance security. Let's explore how AI impacts key IAM components: Intelligent Monitoring and Anomaly Detection AI enables continuous monitoring of both human and non-human identities , including APIs, service acc...

Event Overview The " AI Leaders Spill Their Secrets " webinar, hosted by Sigma Computing, featured prominent AI experts sharing their experiences and strategies for success in the AI industry. The panel included Michael Ward from Sardine, Damon Bryan from Hyperfinity, and Stephen Hillian from Astronomer, moderated by Zalak Trivedi, Sigma Computing's Product Manager. Key Speakers and Their Backgrounds 1. Michael Ward Senior Risk Data Analyst at Sardine. Over 25 years of experience in software engineering. Focuses on data science, analytics, and machine learning to prevent fraud and money laundering. 2. Damon Bryan Co-founder and CTO at Hyperfinity. Specializes in decision intelligence software for retailers and brands. Background in data science, AI, and analytics, transitioning from consultancy to a full-fledged software company. 3. Stephen Hillion SVP of Data and AI at Astronomer. Manages data science teams and focuses on the development and scaling of...

Imagine a pocket-sized hard drive capable of storing the entire list of 35 Million Songs? This isn't yet practical, but IBM has just taken a big step towards improving computing technology: IBM researchers just discovered a way to store data on a single atom. Data storage is undergoing dramatic evolution, recently researchers successfully stored digital data — an entire operating system, a movie, an Amazon gift card, a study and a computer virus — in strands of DNA. The IBM Research results announced Wednesday that the researchers have developed the world's smallest magnet using a single atom and they packed it with one bit of digital data. Currently, hard drives use about 100,000 atoms to store a single bit of information — a 1 or 0 — using traditional methods. So, this breakthrough could allow people to store 1,000 times more information in the same amount of space in the future applications. Scientists Store 1 Bit of data on a single Atom, whereas modern hard dri...