Yasna brings together recent headlines from selected sources and makes them easier to sort with tags, filters, and search.
Search across headline titles and summaries.
Weekly headline count for the current query.
A flaw in the Google Cloud Vertex AI SDK for Python let an attacker with no access to a victim's project hijack the victim's machine learning model upload and run code inside Google's serving infrastructure
WeTransfer added the magic words "machine learning" to its ToS and users reacted predictably Analysis WeTransfer this week denied claims it uses files uploaded to its ubiquitous cloud storage service to train AI, and rolled back changes it had introduced to its Terms of Service after they deeply upset users. The topic? Granting licensing permissions for an as-yet-unreleased LLM product.…
Processing and storage for Gemini 2.5 Flash to stay in Blighty Google Cloud is attempting to ease concerns about where AI data is stored by offering organizations the option to keep Gemini 2.5 Flash machine learning processing entirely within the UK.…
iPhone Maker Introduced Feature Without Explicit ConsentApple's artificial intelligence-led photo analyzer is raising privacy concerns months after the company appears to have enabled the feature by default. It uses a combination of on-device machine learning and encrypted cloud-based processing.
Cybersecurity researchers have disclosed two security flaws in Google's Vertex machine learning (ML) platform that, if successfully exploited, could allow malicious actors to escalate privileges and exfiltrate models from the cloud
Thales will build new machine learning-powered data discovery and classification features based on Google Cloud's Vertex AI.
The combination of data science expertise, cloud resources, and Cato's vast data lake enables real-time, ML-powered protection against evasive cyberattacks, reducing risk and improving security.
Four different Microsoft Azure services have been found vulnerable to server-side request forgery (SSRF) attacks that could be exploited to gain unauthorized access to cloud resources
Cloud native application protection platforms can apply machine learning algorithms on cloud data to identify accounts with abnormal permissions and uncover potential threats.
Newly disclosed RCE flaw in Cosmos DB's Jupyter Notebook feature highlights some of the weaknesses that can arise from emerging tech in the cloud-native and machine learning worlds.
Microsoft says its cloud-native SIEM (Security Information and Event Management) platform now allows to detect potential ransomware activity using the Fusion machine learning model. [...]