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Machine Learning

manageengine

Top tips: Watch out for these 4 machine learning risks

Apr 4, 2024 By General In ManageEngine
Top tips is a weekly column where we highlight what’s trending in the tech world today and list ways to explore these trends. This week, we’re looking at four machine learning-related risks to watch out for. Machine learning (ML) is truly mind-blowing tech. The very fact that we’ve been able to develop AI models that are capable of learning and improving over time is remarkable.
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splunk

Elevating Security Intelligence with Splunk UBA's Machine Learning Models

Mar 19, 2024 By Cui Lin In Splunk
One of the most challenging aspects of running an effective Security Operations Center (SOC) is how to account for the high volume of notable events that actually do not present a risk to business. These events often include common occurrences like users forgetting their passwords a ridiculous number of times or accessing systems at odd hours for valid reasons. Despite their benign nature, struggling to handle the volume of such potential threats may often overwhelm limited staff.
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safebreach

ALPHV Blackcat, GCP-Native Attacks, Bandook RAT, NoaBot Miner, Ivanti Secure Vulnerabilities, and More: Hacker's Playbook Threat Coverage Round-up: February 2024

Feb 29, 2024 By Kaustubh Jagtap In SafeBreach
In this version of the Hacker’s Playbook Threat Coverage round-up, we are highlighting attack coverage for newly discovered or analyzed threats, including those based on original research conducted by SafeBreach Labs. SafeBreach customers can select and run these attacks and more from the SafeBreach Hacker’s Playbook™ to ensure coverage against these advanced threats.
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jfrog

Data Scientists Targeted by Malicious Hugging Face ML Models with Silent Backdoor

Feb 27, 2024 By David Cohen In JFrog
In the realm of AI collaboration, Hugging Face reigns supreme. But could it be the target of model-based attacks? Recent JFrog findings suggest a concerning possibility, prompting a closer look at the platform’s security and signaling a new era of caution in AI research. The discussion on AI Machine Language (ML) models security is still not widespread enough, and this blog post aims to broaden the conversation around the topic.
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The DevSecOps Hangout

Jan 30, 2024 By JFrog In JFrog
Curious to see what all the AI/ML hype is about? Watch our DevSecOps Hangout and hear how ML Model management benefits organizations by providing a single place to manage ALL software binaries, bringing DevOps best practices to ML development, and allowing organizations to ensure the integrity and security of ML models – all while leveraging an existing solution they already have in place. Watch our expert educational talks and panel discussion with our Technology Partner Qwak on MLOps, DevSecOps, AI, and Machine Learning.
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securitysenses

Future of VPNs in Network Security for Workers

Jan 24, 2024 By SecuritySenses In SecuritySenses
The landscape of network security is continuously evolving, and Virtual Private Networks (VPNs) are at the forefront of this change, especially in the context of worker security. As remote work becomes more prevalent and cyber threats more sophisticated, the role of VPNs in ensuring secure and private online activities for workers is more crucial than ever. Let's explore the anticipated advancements and trends in VPN technology that could redefine network security for workers.
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jfrog

Integrating JFrog Artifactory with Amazon SageMaker

Jan 17, 2024 By Melissa McKay In JFrog

Today, we’re excited to announce a new integration with Amazon SageMaker! SageMaker helps companies build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows. By leveraging JFrog Artifactory and Amazon SageMaker together, ML models can be delivered alongside all other software development components in a modern DevSecOps workflow, making each model immutable, traceable, secure, and validated as it matures for release.

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