Turn EDR noise into actionable intelligence

Challenges with endpoint detection
Alert overload
EDR solutions flood analysts with false positives from routine activities such as legitimate software installation, scripts and normal use of Windows utilities, burying real threats under thousands of benign alerts daily.
High false positives rates
Without understanding system behavior and cross-environment correlation, many alerts turn out to be benign, wasting precious cycles.
Context gaps beyond endpoint
Endpoint alerts alone can’t reveal how endpoint activity ties back to cloud, identity or SaaS exploits.
Slow, complex investigations
Manually stitching together endpoint logs, identity trails, and cloud events necessary to tell a full story, eats up analyst time.
How Exaforce empowers your SOC for endpoint security
Always-active AI defense that digs past subject lines, following links, attachments, and identity traces, to pinpoint and neutralize email-borne threats before they gaiUnified management for your SOC team or our service that connects endpoint findings with identity, IaaS, and SaaS context, delivering precise threat triage, enriched alerts, and rapid investigations.
Exaforce connects and contextualizes endpoint detections, accelerating the whole SOC lifecycle.


Eliminate false positives
AI-powered triage instantly validates EDR alerts against actual system behavior and business context, filtering out routine IT operations to surface only genuine threats that require action.


Enriched alerts with actionable context
Each alert is infused with correlated data from endpoint logs, threat intelligence data and correlated evidence, transforming raw EDR events into actionable incidents with clear response steps.


Cross-system contextualized findings
Connects endpoint alerts to their cloud and identity impact, exposing the full kill chain from initial compromise through lateral movement to data exfiltration that endpoint-only tools can't see.


Accelerate investigations
Unifies endpoint, cloud, and identity telemetry into a single attack timeline, reducing investigation time from hours to minutes with automatic evidence correlation and visual attack mapping.
Frequently asked questions
Traditional endpoint investigations require manually correlating EDR logs with identity provider logs, cloud platform audit trails, SaaS activity logs, and network telemetry across multiple consoles and tools. This process typically consumes 2-6 hours per incident as analysts piece together fragments of the attack timeline. Exaforce eliminates this manual correlation by automatically unifying endpoint, cloud, identity, and SaaS telemetry into single attack timelines, constructing visual attack maps showing compromise progression across systems, surfacing related findings and evidence automatically through the Semantic Model, providing pre-investigated findings with clear recommendations rather than raw logs, and enabling natural language investigation where analysts ask questions instead of writing complex queries. Investigations that required hours of manual work complete in minutes with complete context and supporting evidence.
Raw EDR alerts typically contain only endpoint-level details like process names, file hashes, and registry changes without broader context about threat significance or business impact. Exaforce enriches each EDR alert by correlating endpoint activity with identity authentication events to determine which user was logged in, cloud resource access to identify what sensitive data or infrastructure was targeted, SaaS application usage to reveal lateral movement across systems, threat intelligence to match indicators with known attack campaigns, historical baseline data to show why this activity is anomalous, and automated investigation results with clear disposition recommendations and response steps. This transforms raw technical alerts into actionable incidents that analysts can act on immediately without hours of manual context gathering.
EDR solutions generate high false positive rates by flagging routine IT operations like legitimate software installations, administrative scripts, and normal Windows utility usage as suspicious activity. Exaforce applies AI-powered triage that validates EDR alerts against actual system behavior using the Behavioral Model to distinguish routine activities from genuine anomalies, incorporates business context like maintenance windows, approved software deployments, and expected administrative actions, and correlates endpoint events with identity authentication, cloud activity, and SaaS access patterns to confirm threat validity. Rather than forwarding every EDR alert for manual review, Exabots automatically dismiss false positives with supporting evidence while escalating only high-fidelity threats requiring analyst attention, reducing alert volume by 60-80%.
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