2026 WINNER · CYBERSECURITY STARS AWARDS
Anomali · Intelligence-Native Security Operations Platform
Most Innovative Security Operations Center (SOC) Platform
Overview
Anomali has made operational intelligence the foundation of a full security operations platform over the last five years. The Anomali Data Lake and ThreatStream Next-Gen work together to connect raw security data, threat context, and AI-driven decisioning in one place — giving security teams the ability to detect, investigate, and respond without the complexity of stitching together fragmented tools. Most platforms were built to detect. Anomali was built to decide. Trusted by Fortune 500 enterprises and government organizations worldwide. Headquartered in Redwood City, CA, with offices across Europe, the Middle East, and Asia Pacific.
Key Capabilities
Intelligence-Native Architecture
Most security platforms start with raw logs and try to add intelligence later. Anomali starts with trusted, curated threat intelligence and layers telemetry and analytics on top. Agentic AI runs throughout the entire stack rather than sitting as a bolt-on layer over legacy workflows. This architectural difference is what allows Anomali to deliver answers rather than alerts.
No competing provider brings a unified security data lake, native threat intelligence, and agentic AI together in a single operating model. Traditional SIEM vendors lack deep threat intelligence and agentic capability. Pure-play threat intelligence platforms lack the data lake and do not scale to full SOC operations. Agentic AI vendors lack the intelligence corpus to ground their decisions in real-world adversary context. Anomali combines all three.
How we are different
The fact that Anomali has all three of these elements differentiates the company:
Unified Security Data Lake
The Anomali Unified Security Data Lake centralizes and retains massive volumes of security telemetry across cloud, endpoint, network, and identity without the performance constraints or escalating costs of legacy SIEMs. It is always-on, always-searchable, and built for real-time and historical analysis at petabyte scale. Security teams can search and correlate years of data in seconds, build detections on complete unmodified data, and eliminate the retention tradeoffs that plague traditional architectures.
The data lake also unlocks telemetry that organizations already own but have never been able to use. Security teams with years of data sitting in platforms like Databricks or Snowflake can surface that history as an active intelligence asset the moment ThreatStream embeds into it.
"We had years of telemetry we couldn't make useful. The moment we embedded ThreatStream into the Anomali Data Lake, that data became an intelligence asset. Our analysts stopped chasing false positives and started doing the work they became security professionals to do." — CISO, global financial institution
ThreatStream Next-Gen: Intelligence That Drives Decisions
ThreatStream Next-Gen is not a threat feed. It is the active decisioning layer between raw security data, analyst judgment, and response action. Validated across multiple enterprise deployments, it operates 300 times faster than traditional investigation workflows. Customers process over 2 million threat data points daily from more than 200+ intelligence feeds. Machine learning drives indicator correlation, confidence scoring, enrichment, and pattern recognition across campaigns and adversary infrastructure. The result is intelligence that tells teams not just what happened, but who is behind it, why, and what comes next.
ThreatStream Next-Gen ships with five capabilities that carry intelligence all the way from production to action without losing fidelity at the handoff. Priority Intelligence Requirements automate recurring intelligence questions so analysts stop answering the same question manually on every cycle. Command Center provides a live, prioritized view of the threats that matter most to each organization. Intelligence Search compresses multi-hour investigations to minutes by connecting indicators, threat models, and campaigns with AI-generated context. Case Management keeps investigations and response workflows synchronized from first signal to final resolution. Reporting translates technical findings into clear stakeholder outputs without manual reformatting.
ThreatStream Next-Gen works in two deployment modes to meet organizations where they are. Standalone, it connects to existing security stacks and operationalizes intelligence where analysts already work. Embedded within the Anomali Unified Security Data Lake, it enriches every event at ingest, connects the dots across the full security dataset, and surfaces recommended actions without analysts switching context. Under every scenario, the mission stays the same: find the needle in the haystack across security controls and act on it with confidence.
ThreatStream Next-Gen also integrates with existing SIEM, SOAR, EDR, XDR, and cloud platforms, and includes a native Model Context Protocol server that feeds enriched intelligence directly into agentic AI workflows without loss of meaning.
"The best platform we've seen that allows us to tag our own intelligence, apply confidence ratings, and collaborate with other intel sources to get a clearer picture of attacker infrastructure at play in cyberattacks." — Cybersecurity specialist, critical public sector organization
"Anomali has changed how we utilize threat intel data. It's the foundation of our cyber fusion approach, connecting real-time threat intelligence, operational security, and vulnerability management in one place." — Security leader, $30B U.S. retailer
Agentic AI: Built on Real Intelligence, Not Raw Data
Anomali Agentic AI operates at the decision layer. It reasons across the unified data lake and threat intelligence to automatically enrich alerts, power investigations, and support response workflows. Context-aware agents evaluate threat context, historical patterns, and telemetry to recommend response actions within defined policy guardrails. Analysts retain full control while the platform handles the repetitive cognitive work of triage and correlation.
What makes Anomali's agentic AI different from every competitor is the foundation it runs on. Agentic AI works when the intelligence beneath it is real. ThreatStream Next-Gen provides that foundation, so agents act on a decade of curated threat intel context rather than guessing from raw data alone. ThreatStream Next-Gen shipped on April 30, 2026 with autonomous triage, scoring, and investigation at agentic levels one and two. Autonomous response capabilities at levels three through five are in active development, with ThreatStream Next-Gen. The architecture is already in place. Anomali releases autonomy deliberately, with configurable analyst oversight at every stage.
The platform also includes a knowledge graph that bridges natural language and Anomali Query Language, supporting multi-hop reasoning across threat intelligence and log data. Semantic search surfaces actionable intelligence by understanding analyst intent rather than matching keywords, cutting investigation time and removing guesswork from high-pressure decisions.
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