A WIRED investigation shows that the AI-powered search startup Forbes has accused of stealing its content is surreptitiously scrapingβand making things up out of thin air.
Cybersecurity researchers have discovered a critical security flaw in an artificial intelligence (AI)-as-a-service provider Replicate that could have allowed threat actors to gain access to proprietary AI models and sensitive information.
"Exploitation of this vulnerability would have allowed unauthorized access to the AI prompts and results of all Replicate's platform customers,"
Hereβs How to Enhance Your Cyber Resilience with CVSS
In late 2023, the Common Vulnerability Scoring System (CVSS) v4.0 was unveiled, succeeding the eight-year-old CVSS v3.0, with the aim to enhance vulnerability assessment for both industry and the public. This latest version introduces additional metrics like safety and automation to address criticism of lacking granularity while
Deploying advanced authentication measures is key to helping organizations address their weakest cybersecurity link: their human users. Having some form of 2-factor authentication in place is a great start, but many organizations may not yet be in that spot or have the needed level of authentication sophistication to adequately safeguard organizational data. When deploying
A forensic analysis of a graph dataset containing transactions on the Bitcoin blockchain has revealed clusters associated with illicit activity and money laundering, including detecting criminal proceeds sent to a crypto exchange and previously unknown wallets belonging to a Russian darknet market.
The findings come from Elliptic in collaboration with researchers from the&
The U.S. government has unveiled new security guidelines aimed at bolstering critical infrastructure against artificial intelligence (AI)-related threats.
"These guidelines are informed by the whole-of-government effort to assess AI risks across all sixteen critical infrastructure sectors, and address threats both to and from, and involving AI systems," the Department of Homeland Security (DHS)&
Google on Monday revealed that almost 200,000 app submissions to its Play Store for Android were either rejected or remediated to address issues with access to sensitive data such as location or SMS messages over the past year.
The tech giant also said it blocked 333,000 bad accounts from the app storefront in 2023 for attempting to distribute malware or for repeated policy violations.
"In 2023,
Imagine a world where the software that powers your favorite apps, secures your online transactions, and keeps your digital life could be outsmarted and taken over by a cleverly disguised piece of code. This isn't a plot from the latest cyber-thriller; it's actually been a reality for years now. How this will change β in a positive or negative direction β as artificial intelligence (AI) takes on
The maintainers of the Python Package Index (PyPI) repository briefly suspended new user sign-ups following an influx of malicious projects uploaded as part of a typosquatting campaign.
PyPI said "new project creation and new user registration" was temporarily halted to mitigate what it said was a "malware upload campaign." The incident was resolved 10 hours later, on March 28, 2024, at 12:56
GitHub on Wednesday announced that it's making available a feature called code scanning autofix in public beta for all Advanced Security customers to provide targeted recommendations in an effort to avoid introducing new security issues.
"Powered by GitHub Copilot and CodeQL, code scanning autofix covers more than 90% of alert types in JavaScript, Typescript, Java, and
There has been an exponential increase in breaches within enterprises despite the carefully constructed and controlled perimeters that exist around applications and data. Once an attacker can access⦠Read more on Cisco Blogs
Large language models (LLMs) powering artificial intelligence (AI) tools today could be exploited to develop self-augmenting malware capable of bypassing YARA rules.
"Generative AI can be used to evade string-based YARA rules by augmenting the source code of small malware variants, effectively lowering detection rates," Recorded Future said in a new report shared with The Hacker News.
As many as 100 malicious artificial intelligence (AI)/machine learning (ML) models have been discovered in the Hugging Face platform.
These include instances where loading a pickle file leads to code execution, software supply chain security firm JFrog said.
"The model's payload grants the attacker a shell on the compromised machine, enabling them to gain full control over victims'
Cybersecurity researchers have found that it's possible to compromise the Hugging Face Safetensors conversion service to ultimately hijack the models submitted by users and result in supply chain attacks.
"It's possible to send malicious pull requests with attacker-controlled data from the Hugging Face service to any repository on the platform, as well as hijack any models that are submitted
Last year, the Open Worldwide Application Security Project (OWASP) published multiple versions of the "OWASP Top 10 For Large Language Models," reaching a 1.0 document in August and a 1.1 document in October. These documents not only demonstrate the rapidly evolving nature of Large Language Models, but the evolving ways in which they can be attacked and defended. We're going to talk in this
Microsoft has released an open access automation framework called PyRIT (short for Python Risk Identification Tool) to proactively identify risks in generative artificial intelligence (AI) systems.
The red teaming tool is designed to "enable every organization across the globe to innovate responsibly with the latest artificial intelligence advances," Ram Shankar Siva Kumar, AI red team
Did you know that Network Detection and Response (NDR) has become the most effective technology to detect cyber threats? In contrast to SIEM, NDR offers adaptive cybersecurity with reduced false alerts and efficient threat response.
Are you aware of Network Detection and Response (NDR) and how itβs become the most effective technology to detect cyber threats?
NDR massively
Google has announced that it's open-sourcing Magika, an artificial intelligence (AI)-powered tool to identify file types, to help defenders accurately detect binary and textual file types.
"Magika outperforms conventional file identification methods providing an overall 30% accuracy boost and up to 95% higher precision on traditionally hard to identify, but potentially problematic content
In nearly every segment of our lives, AI (artificial intelligence) now makes a significant impact: It can deliver better healthcare diagnoses and treatments; detect and reduce the risk of financial fraud; improve inventory management; and serve up the right recommendation for a streaming movie on Friday night. However, one can also make a strong case that some of AIβs most significant impacts
Continuous integration and continuous delivery (CI/CD) misconfigurations discovered in the open-source TensorFlow machine learning framework could have been exploited to orchestrate supply chain attacks.
The misconfigurations could be abused by an attacker to "conduct a supply chain compromise of TensorFlow releases on GitHub and PyPi by compromising TensorFlow's build agents via
Wing Security announced today that it now offers free discovery and a paid tier for automated control over thousands of AI and AI-powered SaaS applications. This will allow companies to better protect their intellectual property (IP) and data against the growing and evolving risks of AI usage.
SaaS applications seem to be multiplying by the day, and so does their integration of AI
IT professionals have developed a sophisticated understanding of the enterprise attack surface β what it is, how to quantify it and how to manage it.
The process is simple: begin by thoroughly assessing the attack surface, encompassing the entire IT environment. Identify all potential entry and exit points where unauthorized access could occur. Strengthen these vulnerable points using
The U.S. National Institute of Standards and Technology (NIST) is calling attention to the privacy and security challenges that arise as a result of increased deployment of artificial intelligence (AI) systems in recent years.
βThese security and privacy challenges include the potential for adversarial manipulation of training data, adversarial exploitation of model vulnerabilities to