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Intelligence-native agentic SOC platform that unifies telemetry, threat intelligence, and AI
Anomali is an enterprise security operations platform that combines a unified security data lake, curated threat intelligence (ThreatStream Next-Gen), and agentic AI into a single system for detection, investigation, and response. It ingests telemetry from cloud, endpoint, network, identity, email, and SaaS sources, enriches it with adversary and campaign context, then lets AI agents triage alerts and recommend or automate next actions. It is positioned both as a SIEM augmentation layer and as a full replacement for legacy SIEM architectures.
Centralizes and retains large volumes of security telemetry across cloud, endpoint, network, and identity as always-hot, searchable data rather than cold archive storage, so teams can correlate years of history without SIEM retention tradeoffs.
Managed Intelligence as a Service that aggregates hundreds of open, commercial, and community feeds, then normalizes, deduplicates, and confidence-scores indicators so low-confidence noise never reaches downstream tools.
AI agents reason over the data lake and intelligence graph to guide investigations, handle Tier 1/2 triage, recommend next actions, and automate response workflows while keeping humans in the decision loop.
Fuses external threat intelligence with internal environment context — assets, users, event logs, incident history — so context travels with every alert and investigation instead of requiring swivel-chair lookups.
Full TIP capabilities including indicator management, actor and campaign attribution, TTP mapping, and intel sharing with trusted communities and ISACs.
Enterprises hitting SIEM cost and retention ceilings route telemetry into Anomali's data lake to keep full-fidelity history searchable, either alongside an existing SIEM or as a full replacement.
Security teams collecting many feeds but struggling to act on them use ThreatStream to curate, score, and push intelligence directly into detection rules and response playbooks instead of static reports.
SOCs drowning in false positives hand repeatable triage to Anomali's AI agents so analysts spend their time on judgment calls rather than clearing queue noise.
Builds detections, hunts, and investigations directly on complete normalized telemetry, positioned to augment or replace legacy SIEM without the retention and cost penalties.
Pushes fused intelligence into detection tools and response playbooks automatically — creating detection rules, blocking malicious infrastructure, and running repeatable response actions.
Catalog of third-party threat intelligence feeds, enrichment and analysis tools, and prebuilt integrations with EDR, SIEM, and other security systems.
Analysts can ask plain-English questions such as looking up a suspicious IP or a ransomware family and get back attribution, confidence scores, source tags, and campaign context.
Relevance and confidence scoring stack-ranks the alert queue so analysts work the alerts that actually matter to their environment and suppress the rest.
Hunt teams pivot across years of telemetry and intelligence in a single query to trace campaigns and adversary infrastructure that would be invisible in a 30-day retention window.
Regulated organizations and government agencies retain 12 months or more of security telemetry for audit requirements without giving up query performance.
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