Splunk Ideas
You use splunk ideas to submit feature requests and vote on product changes. Users log in with their vendor account, search existing posts, and add votes. Many engineering teams use this portal to ask for better log controls. While they wait for new features, teams often grant broad log roles. Broad roles let too many users read sensitive system logs at any time. How the splunk ideas portal and native roles work The vendor feedback portal connects users with product managers. You log in throu
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You use splunk ideas to submit feature requests and vote on product changes. Users log in with their vendor account, search existing posts, and add votes. Many engineering teams use this portal to ask for better log controls. While they wait for new features, teams often grant broad log roles. Broad roles let too many users read sensitive system logs at any time.
How the splunk ideas portal and native roles work
The vendor feedback portal connects users with product managers. You log in through the main community site to read posts. Before you write a new post, you search the portal for matches. Voting on an existing post helps push that request up the list. Product managers review the top posts and update their status over time.
Inside your own log platform, you manage users through native roles. Admins create roles that control which log indexes a user can search. You can also set search filters to limit what events come back. Teams link these roles to an identity provider for single sign on. When an engineer logs in, the system checks their group and assigns permissions.
Admins often submit requests on the portal for finer access controls. For example, teams want better ways to hide secrets in raw logs. Until those features ship, admins have to rely on index roles and filters. Setting up index roles for every single team takes a lot of work. As a result, admins often group many apps into one shared index.
What native log roles solve and what they miss
Native roles do a good job of sorting users into broad groups. They let you separate security teams from general app developers with ease. You can block a basic user from deleting logs or changing system rules. Index restrictions also keep finance logs away from general test teams. This basic setup handles simple login checks across your log platform.
Splunk: architecture patterns and best practices
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Still, native setup rules only check who logs in at the start. They do not inspect what each query or script does in flight. Once a user has role access, they can run huge searches right away. Raw app logs often hold emails, phone numbers, card numbers, or national IDs. Index roles do not rewrite those matched fields in query results by default.
Teams also run into gaps when engineers fix live servers and databases. Log platforms collect events after a command runs on a host or database. They can tell you what broke, but they cannot stop a bad command. If an engineer has broad server keys, logs only record the damage afterward. You need runtime controls that check commands and mask sensitive fields before results return.
Add runtime guardrails and masking beside your databases and APIs
Login rules, role grants, and CI checks govern who connects to your stack. Yet any allowed script, engineer, or AI agent still runs commands with the full scope of its role. For workloads on Postgres, MySQL, SQL Server, MongoDB, ClickHouse, Kubernetes, SSH, or internal HTTP services, hoop.dev sits beside the service as an open-source proxy, a sidecar for your database or API.
Before a query runs, hoop.dev guardrails check the statement against your rules. An AI Analyzer you configure can score intent or hold risky calls for human review. Next, hoop.dev data masking rewrites sensitive fields in responses, and each verdict is logged per listener. Explore the MIT-licensed project on GitHub.
Frequently asked questions
Who can submit a post on the feedback portal?
Any user with a valid vendor community account can submit a post. You should search existing requests first so you do not create duplicates.
How do admins hide sensitive fields in log search results?
Admins can set up field masking rules or separate indexes by data type. Masking rewrites matched fields like emails or card numbers in the search results.
Why are log alerts not enough to secure production databases?
Log alerts only fire after a user runs a query on the database. They record the event, but they cannot block bad queries in real time.