One of the ways to secure Cloud is by using Machine Learning (ML). ML techniques have been used in various ways to prevent or detect attacks and security gaps on the Cloud. In this paper, we provide a Systematic Literature Review (SLR) of …

Mar 25, 2025 · Machine learning algorithms play a pivotal role in fortifying cloud security by swiftly identifying potential threats, anomalies, and vulnerabilities. This proactive approach enables real-time threat detection and response, enhancing overall security posture.

Apr 29, 2025 · Defender for Cloud already helps manage the security posture of AI workloads on Azure OpenAI Service, Azure Machine Learning, and Amazon Bedrock. Now, we’re expanding those AI security posture management (AI-SPM) capabilities to include Google Vertex AI models and broader support for the Azure AI Foundry model catalog and custom models — as ...

By reviewing recent studies, we show that ML and threat intelligence does more than detect known threats. They can also adapt to new and evolving ones, making cloud systems more secure against cyberattacks. Our analysis highlights how this combined approach provides better protection and flexibility.

Oct 7, 2023 · In this paper, we provide a comprehensive and systematic literature review on the use of ML in cloud security and its applications and techniques to prevent security issues on cloud computing.

Apr 30, 2025 · We’ve achieved coverage increases of up to 7,000% across 272 C and C++ projects in OSS-Fuzz. Google Project Zero and Google DeepMind collaborated on a project called Big Sleep, which has already uncovered its first real-world vulnerability using a LLM. At Google, we’re using LLMs to speed up our security and privacy incident workflows.

5 days ago · Protecting cloud applications is crucial in an age where security constantly threatens the digital world. The inevitable cyber-attacks throughout the CI/CD pipeline make cloud security innovations necessary. This research is motivated by applying Natural Language Processing (NLP) methodologies, such as Topic Modelling, to analyse cloud security data and predict future attacks. This research ...

Apr 24, 2025 · While we offer intelligence-led, human-driven Custom Threat Hunt services to reveal ongoing and past threat actor activity in cloud and on-premise environments, you can also use AI as a threat-hunting advisor.It can help you: Generate threat hunting hypotheses.; Provide log sources that would be needed for the hunt.; Align the hunt to the unique threats targeting a specific industry.

Apr 27, 2022 · We are implementing machine learning methods to improve cloud security to more precisely classify image pixels, we make use of Support Vector Machines (SVM) and Fuzzy C-means Clustering (FCM).

Apr 17, 2025 · Ievgeniia is a Security Engineer specializing in cloud security architecture and automation, with a keen focus on the intersection of generative AI, machine learning, and security. She combines deep technical expertise with practical implementation experience to help organizations build and maintain secure cloud environments.