Issue - https://issues.apache.org/jira/browse/RANGER-5278 has been created with high level requirements. I will create a separate thread to discuss the implementation details and refinement of requirements if needed.
Thanks, Selva- > On Jul 29, 2025, at 4:50 AM, Selvamohan Neethiraj <[email protected]> wrote: > > 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 <[email protected]> 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 <[email protected]> >> wrote: >> >>> Hello Selva, >>> >>> Looking forward to contribute and learn from it. >>> Thanks >>> >>> >>> >>> *Thanks & Regards* >>> >>> *Kumar Basapuram,* >>> *Mobile: +91-9962904416* >>> *Mail-to: [email protected] <[email protected]>* >>> *Banglore -India.* >>> >>> >>> On Fri, 18 Jul 2025 at 11:08, Fateh Singh <[email protected]> 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 <[email protected]> >>>> wrote: >>>> >>>>> I look forward to collaborate and contribute. >>>>> >>>>> On Thu, Jul 17, 2025 at 10:30 AM Dilli Dorai <[email protected]> >>>>> wrote: >>>>> >>>>>> Hi Selva, >>>>>> +1. >>>>>> Great, timely initiative. >>>>>> Regards >>>>>> Dilli >>>>>> >>>>>> On Thu, Jul 17, 2025 at 10:12 AM Ramesh Mani <[email protected]> >>> 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 < >>>>> [email protected] >>>>>>>> >>>>>>> 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. >>>>>>>> >>>>>>>> >>>>>>> >>>>>> >>>>> >>>> >>> >
