Tag: Cloud

  • Garak Red Teaming LLMs

    As Generative AI is playing a role in multiple organizations so is the popularity of tools for identifying risks and vulnerabilities. In this blog I’m exploring Garak a LLM vulnerability scanner developed by NVIDIA and is a OSS project to help strengthen LLM Security. When the term “Red Team” appears in the approach of simulation…

  • Bill of Materials CKS Refresher

    A Software Bill of Materials (SBOM) is like the ingredients list on your food package—it reveals what components, libraries, and dependencies go into building the final software. Just as checking food labels helps you understand nutritional content and potential allergens, an SBOM provides transparency into third-party components, helping identify vulnerabilities early in the software supply…

  • Simulating Kubernetes Attacks with Detection of Falco + Tetragon

    Microsoft recently released an open-source repository designed to simulate attacks on Kubernetes clusters, showcasing the detection capabilities of Defender for Cloud sensors. However, this tool can also be extended to work with other Intrusion Detection Systems (IDS) for monitoring Kubernetes environments. As with any detection solution, it is crucial to rigorously test various attack scenarios…

  • ABAC In Kubernetes

    Attribute-based access control (ABAC) is a powerful feature in Kubernetes that allows administrators to define fine-grained permissions for users and groups. Unlike traditional role-based access control (RBAC), ABAC enables a more granular approach to specify what actions can and cannot be performed. However, implementing ABAC can become complex as modifications increase over time. This blog…

  • Azure AI Foundry

    Introduction This week at Microsoft Ignite, Azure AI Foundry was unveiled as the rebranded successor to “Azure AI Studio.” This marks a significant step toward unifying AI development tools under one cohesive platform. Azure AI Foundry provides a streamlined toolchain and an SDK designed for efficient consumption of AI models, supporting both OpenAI and Mistral…

  • LlamaIndex Simplifying Data Retrieval

    Introduction Most often using forms of LLM’s with a front-end UI has constraints for memory primarily because this is using the ChatCompletionsClient to initiate the conversation. This is stateless in nature meaning it is only limited to that session and the LLM’s knowledge for what is represented back to the end user, over time this…

  • Phi-3.5 Mixture of Experts

    Introduction Microsoft has open-sourced its Phi-3.5 Mixture of Experts model recently on the Azure AI Studio catalog provided as a (Model-as-a-Service) that you can run on Azure or you can also use Huggingface to utilize this model. The first question depending how much you’re following along with the constant upstream releases of models is the…

  • AI Agents with LangGraph

    Introduction Agents are the next iteration of taking traditional stateless interactions with LLM’s to a stateful interaction with the use of typically Assistants API or extending using a framework. Some popular ways to create a agent workflow are tools such as Promptflow, CrewAI, LangGraph, LangChain and others. For this blog post I’m going to demonstrate…

  • Github Actions with Azure ML Jobs

    Introduction Its no secret that Github is a premier development platform for Source Control Management and does have a robust features that also allow for Continuous Integration/Continuous Deployment. These features are a part of the use of Github Actions, in this blog post I’m going to use the example code in a repository here this…

  • Google Cloud Privileged Access Management

    Today’s vast array of identities whether they are human-centric identities or machine-identities have a large amount of permissions tied to them, given the attack surface of cloud identities can be tied to resources that are also mapped to other services this can be a sticky situation. Most hyperscalers have best practices documented on Identity and…