Indicator ingestion
Bring in approved feeds and internal intelligence through supported interfaces.
Combine external indicators with assets, identities, incidents, local sightings, exposure context, and indicator aging.
Specific support depends on the deployment, licensed modules, connected systems, and validation scope. The architecture review makes those boundaries explicit.
Bring in approved feeds and internal intelligence through supported interfaces.
Track source, confidence, context, first seen, last seen, expiration, and local relevance.
Show where an indicator appeared in your environment and which assets or identities are involved.
Relate indicators to infrastructure, behaviors, campaigns, and techniques when supported by evidence.
Combine external confidence with internal exposure and incident context.
Turn validated intelligence into scoped controls with exception and rollback policies.
The workflow keeps context and responsibility visible at every step.
Accept intelligence from approved commercial, community, and internal sources.
Add source, age, infrastructure, campaign, behavior, and confidence context.
Search for internal observations across the available telemetry history.
Prioritize investigation or propose bounded blocking based on local risk.
Use representative data, named use cases, measurable acceptance criteria, and a documented deployment boundary.
Discuss a validation planIndicator lifetime, confidence decay, source reliability, and expiration should be explicit policy inputs rather than permanent truth.
It can inform a governed action when the deployment has the required connector, policy, approval, scope, timeout, and rollback controls.
Protocol and version support should be confirmed against the target intelligence sources during technical validation.
Walk through an evidence-driven investigation using your security architecture, telemetry sources, and response requirements.