Threat Intelligence Feeds
Aggregated threat intelligence from multiple sources with AI correlation
Threat Intelligence Feeds aggregates and correlates threat data from commercial feeds, open-source intelligence (OSINT), dark web monitoring, and your own historical incident data. The AI normalizes indicators of compromise (IoCs) across formats, deduplicates entries, and enriches them with context relevant to your client environments.
The platform continuously cross-references incoming intelligence against your clients' asset inventories, identifying which threats are most relevant to each environment. This prioritized approach ensures your team focuses on the threats that matter most, rather than drowning in raw feed data.
Automated alerting and integration with detection engineering means new threat intelligence can be operationalized in minutes rather than days.
How It Works
Aggregate
Collect threat data from commercial, OSINT, and proprietary intelligence sources.
Normalize
AI normalizes IoCs across formats (STIX, TAXII, CSV) into a unified taxonomy.
Correlate
Cross-reference threats against client asset inventories to determine relevance.
Operationalize
High-relevance indicators are pushed to detection rules and blocking lists automatically.
AI Capabilities
Multi-source correlation
Relevance scoring per client
IoC deduplication
Automated detection rule generation
Human-in-the-Loop Checkpoints
- Review high-impact threat assessments
- Approve automated blocking actions
- Validate intelligence source reliability
Key Metrics
Connected Process Areas
This process area integrates with related capabilities across the platform.
See Threat Intelligence Feeds in Action
Experience AI-powered security operations automation — from insight to action in a single platform.