Telos Intelligence
You set up telos intelligence by assigning identity roles and linking threat feeds to your data store. This workflow lets security teams check cyber risks, vet identities, and track system alerts in one place. Many teams start by granting broad read and write roles to speed up initial testing. Overly broad roles expose raw records like emails and phone numbers when analysts run routine checks. How telos intelligence workflows and permissions work A standard setup links external risk data and
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You set up telos intelligence by assigning identity roles and linking threat feeds to your data store. This workflow lets security teams check cyber risks, vet identities, and track system alerts in one place. Many teams start by granting broad read and write roles to speed up initial testing. Overly broad roles expose raw records like emails and phone numbers when analysts run routine checks.
How telos intelligence workflows and permissions work
A standard setup links external risk data and vetting records to your internal analytics apps. First, an admin creates service accounts and assigns role permissions for the incoming data feeds. The system pulls threat alerts, background records, and compliance logs into central storage tables. Next, security analysts log in with their own accounts to read and query those tables. Role rules decide which users can view specific risk dashboards or run custom reports. Identity checks verify each user before the app opens a session to the database. Teams also set up automated jobs that read new records and score system threats. Each job uses a static key or role to read tables and write risk scores.
What native roles solve and what they leave open
Native role checks do a great job of blocking unknown users at the login screen. They ensure that only vetted staff and approved apps can start a database session. Still, login checks only decide who gets in, not what queries run during the session. Once a user logs in, the database trusts every command that fits their broad role. An analyst with read rights can query an entire table of sensitive records at once. If a query pulls emails, card numbers, or national IDs, the database returns them in full. Native roles also struggle to separate safe daily queries from risky bulk exports in flight. Static keys used by automated jobs create another risk if someone copies or shares them. Teams often lack a clear log that links each individual query to a specific person. Without query-level checks, one mistake or bad script can alter or expose vital records.
Steps to tighten permissions for risk and threat data
Start by splitting broad admin roles into smaller roles based on daily job tasks. Give ingestion scripts write-only rights so they cannot read back stored personal records. Give analysts narrow read roles that limit which tables they can query during a shift. Rotate static keys on a set schedule and remove old accounts that no longer log in. Review your query logs each week to spot unusual bulk reads or failed commands. Set up data masking rules so queries rewrite emails and phone numbers in the results. Require a second person to approve any command that alters or deletes production risk tables.
Threat Intelligence Feeds: architecture patterns and best practices
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Check database and API queries on the wire
Identity tools, roles, and network rules decide who opens a session. Setup alone cannot check what each query does or mask sensitive values in a response once a session starts. When workflows touch Postgres, MySQL, SQL Server, MongoDB, ClickHouse, Kubernetes APIs, SSH, or internal HTTP APIs, hoop.dev runs beside those services as an open-source proxy, a sidecar for your Postgres or API. It inspects requests coming in and results going back on the wire.
Your login details and client tools stay as they are while hoop.dev guardrails refuse bad deletes or drops before they run. On responses, hoop.dev data masking rewrites matched sensitive values in memory. Furthermore, hoop.dev holds SOC 2 Type II, is MIT licensed, and writes every query and decision to an audit trail that generates evidence for HIPAA, GDPR, and PCI DSS. See the source on GitHub.
Frequently asked questions
What is the main purpose of telos intelligence workflows?
These workflows help teams collect threat data, verify user backgrounds, and track compliance risks. They bring outside security feeds and internal audit logs into one central system for analysis.
Why are broad database roles risky for threat analysis teams?
Broad roles let any logged-in user run wide queries across sensitive tables without extra checks. A single query can return thousands of raw emails, phone numbers, or national IDs at once.
How can teams protect sensitive fields during live queries?
Teams can apply masking rules that inspect results before they reach the user screen. These rules rewrite matched fields like card numbers and emails while keeping the query working.