Hi, I am currently working on submitting the initial Jira ticket with the requirements and a high-level plan for the next steps as part of our discussion with the ranger community. The ticket should be created by the first week of August, so that we can schedule further discussions.
Regards, Selva- > On Jul 29, 2025, at 1:38 AM, Fateh Singh <fateh...@gmail.com> wrote: > > Hi Selva > Do you have any next steps or a plan in mind to execute on these AI > features? Any JIRAs you have filed ? > > Regards > Fateh Singh > > On Thu, Jul 17, 2025 at 10:49 PM Kumar Basapuram <bsprmku...@gmail.com> > wrote: > >> Hello Selva, >> >> Looking forward to contribute and learn from it. >> Thanks >> >> >> >> *Thanks & Regards* >> >> *Kumar Basapuram,* >> *Mobile: +91-9962904416* >> *Mail-to: bsprmku...@gmail.com <bsprmku...@gmail.com>* >> *Banglore -India.* >> >> >> On Fri, 18 Jul 2025 at 11:08, Fateh Singh <fateh...@gmail.com> wrote: >> >>> Hi Selva >>> >>> +1 for AI initiatives and looking forward to contributing to these >>> initiatives. >>> >>> Here are a few more use cases we can consider- >>> >>> 1) Explainable Ranger Authorization i.e why ranger is making a certain >>> authorization decision - Other Authorization products such as OsoHQ are >>> already advertising this as a novel feature of their product >>> https://www.osohq.com/post/how-we-built-an-interactive-debugger. I have >>> some ideas on how we can use LLMs to achieve this for Ranger. >>> This should also help customers understand if a user will have access to >> a >>> certain piece of data based of the current ranger admin data >>> >>> 2) AI ranger Admin: Natural language/Prompt based policy creation - User >>> gives their use case based on which AI should be able to create >> policies. A >>> simple example: define a policy in a way that a user cannot access the >>> salary and gender data at the same time >>> >>> 3) Not a user facing feature but for developers only - in my experience, >>> LLMs in their current form right now are not good at assisting developers >>> for Ranger development atleast for slightly more complex use cases. How >> and >>> what knowledge can we give to LLMs so that it can be better suited for >>> aiding the developers to develop new features. This initiative will >> include >>> prompt engineering, knowledge base creation and chat with Ranger >>> documentation. >>> >>> Would love to discuss what can be the next steps for these initiatives. >>> >>> Regards >>> Fateh >>> >>> >>> On Thu, Jul 17, 2025 at 10:32 AM Dilli Dorai <dilli.do...@gmail.com> >>> wrote: >>> >>>> I look forward to collaborate and contribute. >>>> >>>> On Thu, Jul 17, 2025 at 10:30 AM Dilli Dorai <dilli.do...@gmail.com> >>>> wrote: >>>> >>>>> Hi Selva, >>>>> +1. >>>>> Great, timely initiative. >>>>> Regards >>>>> Dilli >>>>> >>>>> On Thu, Jul 17, 2025 at 10:12 AM Ramesh Mani <rm...@apache.org> >> wrote: >>>>> >>>>>> +1 for Building agentic AI for Apache Ranger. >>>>>> >>>>>> Thanks Selva for this initiative and discussion. It will be a good >>> value >>>>>> addition to the Apache Ranger project. Look forward to collaborating >>> and >>>>>> contributing. >>>>>> >>>>>> Thank you. >>>>>> Ramesh >>>>>> >>>>>> On Thu, Jul 17, 2025 at 8:17 AM Selvamohan Neethiraj < >>>> sneet...@apache.org >>>>>>> >>>>>> wrote: >>>>>> >>>>>>> All: >>>>>>> >>>>>>> Hello, >>>>>>> >>>>>>> I am initiating a new initiative to construct an Agentic AI for >>> Apache >>>>>>> Ranger, which will proactively monitor and enhance the Apache >> Ranger >>>>>>> Protections for the enterprise data. >>>>>>> >>>>>>> Some of the key concepts associated with this initiative are: >>>>>>> * auto-create of ranger policies based on access logs and >> obtaining >>>>>>> approval from the resource owner >>>>>>> * Analyzing the behaviors of users and roles and providing >>>> corresponding >>>>>>> reports >>>>>>> * Implementing real-time anomaly detection >>>>>>> >>>>>>> Please provide your feedback. If we receive sufficient community >>>>>> support, >>>>>>> we can proceed with a preliminary proof of concept to assess the >>>>>>> feasibility of elevating Apache Ranger to the next level. >>>>>>> >>>>>>> Thank you, >>>>>>> Selva- >>>>>>> Apache Ranger PMC. >>>>>>> >>>>>>> >>>>>> >>>>> >>>> >>> >>
