Unified data layer delivering the right data to analysts and AI agents without tuning
Traditional security data platforms force you to choose between deep storage or fast queries, comprehensive coverage or manageable costs, raw logs or enriched context. Exaforce eliminates these tradeoffs with a purpose-built intelligence platform that delivers answers with data.
Dual architecture for query speed and storage economics
Get fast query performance on 90 days of correlated data while maintaining cost efficiency. Our dual architecture keeps investigation-critical data in memory (logs, identity states, config snapshots, behavioral baselines, threat correlations) while keeping full raw data in a cost-efficient data lake for compliance and forensics.


Security-driven data optimization
Gain complete visibility with manageable costs. Exaforce applies intelligent deduplication, smart filtering, and security-driven data transformation and normalization, preserving detection fidelity while dramatically reducing storage and compute costs.


Semantic correlation beyond log indexing
Exaforce replaces manual context stitching with automatic correlation across logs, identity, configuration changes, code commits, file access, and behavioral patterns, producing faster, more accurate investigations.


Investigation-ready data with zero engineering
Exaforce handles all the data engineering complexity so they can focus on threats, not pipelines. Data is available visually, through natural language, or via intuitive queries, whichever fits your workflow.


Integrates seamlessly with your environment
Exaforce ingests logs, alerts, config, code, and identity, from your most significant cloud data sources.










Frequently asked questions
SIEMs are costly at cloud scale and limited to only processing logs. Security data lakes are inexpensive but require complex query languages and lack contextual correlation. The Exaforce Data Platform ingests beyond logs, including configuration, identity, code metadata, and file metadata. It builds relationships across these entities through the Semantic Model. This unified foundation enables fast in-memory analysis with cost-efficient storage, automatic correlation across all data types, natural language investigations, visual exploration, and simplified querying, and powers autonomous AI-driven analysis. You get the economics of a data lake with comprehensive detection and easy investigation capabilities that a SIEM can't deliver.
Yes. Many teams use the platform alongside their SIEM, offloading large volume generating sources like IaaS platforms to reduce storage costs, improve context, and speed queries, while letting Exabot Triage reduce false positives. Others leverage Exabot Triage with their SIEM and without using any Exabot detections.
Exaforce provides centralized storage for security telemetry, eliminating the need to chase data across disparate tools during audits or incident investigations. Raw data from all connected sources is retained for over a year in cost-efficient storage and remains fully queryable via SQL or natural language, so teams can quickly pull evidence when required.
We connect directly to systems like AWS, GCP, Okta, GitHub, and major SaaS apps to pull identity, configuration, and activity. This context reveals the intent and impact that event only ingest cannot.
Exaforce applies security-driven optimization rather than generic volume reduction by intelligently deduplicating truly redundant events while preserving subtle variations critical for detection, behaviorally reducing baseline noise while retaining anomalous signals even at low volume, and using context-aware filtering to preserve critical low-frequency events such as privilege escalation and failed MFA. The result is a 60-80% cost reduction compared to traditional SIEMs while expanding detection coverage across more cloud and SaaS services.
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