Overview
Exaforce integrates with Google SecOps (formerly Chronicle) to centralize SIEM alerts and enrich them with cross-platform telemetry. By correlating Google SecOps detection rule findings with identity events, endpoint activity, cloud API logs, and network traffic, Exaforce helps security teams validate alert intent, filter noise, and build complete attack narratives from fragmented signals. Exaforce adds the critical layer of intelligent triage, contextual enrichment, and unified investigation that transforms raw alerts into actionable security intelligence.
How it works
Exaforce ingests alerts generated by detection rules, YARA-L rules, behavioral analytics, and threat intelligence matches. Once ingested, alerts are normalized into Exaforce's unified schema and automatically correlated with telemetry from identity providers, cloud platforms, endpoint agents, and network sources already flowing into Exaforce.
Exaforce leverages multi-model AI to evaluate each alert against historical baselines, user behavior patterns, and business context rules to determine whether the activity represents a true positive, benign operation, or edge case requiring deeper investigation.
Core capabilities
Automated alert triage and validation
Alerts flagged by SecOps detection rules are cross-referenced with correlated events from other systems and analyzed by the Multi-Model AI to validate whether the underlying behavior is consistent with legitimate operations or represents genuine malicious activity. This automated validation reduces the volume of alerts requiring manual review and prioritizes findings based on actual risk, not just rule severity.
Cross-system correlation for complete attack chains
Google SecOps alerts often capture isolated signals, such as a suspicious process execution, an unusual network connection, or an anomalous authentication pattern. Exaforce reconstructs the full attack sequence by linking these alerts to upstream and downstream activity across identity systems, cloud control planes, SaaS applications, and endpoints. Analysts can trace a SecOps detection back to the initial access vector, follow lateral movement through correlated network and cloud events, and identify data exfiltration or privilege escalation in a single, unified timeline that spans all connected systems.
Enriched alert context with identity and organizational data
Each Google SecOps alert ingested into Exaforce is automatically enriched with comprehensive metadata, including user identity attributes, device details, threat intelligence on observed IPs, domains, and network infrastructure, and related detections from other sources that share common indicators or affected entities. This context is surfaced directly in the investigation interface, eliminating manual lookups and providing analysts with immediate situational awareness about who is involved, what their role is, and why the activity matters.
Deep investigation with pivoting and natural language queries
Exaforce enables analysts to pivot from any Google SecOps alert into the underlying raw data and related events across multiple data sources without switching tools. Investigations can span events, cloud logs, identity details, and more, all from a unified interface. Analysts can query using natural language to explore related activity and receive structured results grounded in correlated telemetry from SecOps and connected systems.
Unified timeline for multi-source correlation
Google SecOps ingests data from dozens of sources, but investigating across those sources within SecOps requires complex queries and manual correlation. Exaforce automatically builds unified timelines that combine SecOps alerts with enriched context from systems that may not feed directly into SecOps, providing a complete picture of user, device, and resource activity without requiring analysts to be UDM query experts.
Benefits
Exaforce reduces Google SecOps alert volume by filtering out false positives and benign findings through cross-system validation, behavioral baselining, and organizational context, which decreases time spent on noisy alerts and allows analysts to focus on high-impact threats. It improves investigation speed and accuracy by providing a unified view of SecOps alerts alongside identity, cloud, endpoint, and network events, which eliminates context-switching, manual UDM query writing, and tedious correlation work. The platform accelerates response by connecting SecOps detections directly to automated workflows and guided remediation actions, reducing mean time from detection to containment.