EDR designed around the SOC analyst workflow
Alert fatigue is the primary failure mode for SOC teams using legacy EDR. Analysts spend more time triaging noise than investigating real threats. LightEDR is built around how analysts actually work - not how the platform's data model was designed.
Three ways legacy EDR fails the SOC analyst
These are not edge cases. They are the everyday experience of analysts using platforms that were designed for power users, not production workflows.
Alert fatigue
Too many alerts at identical priority. Analysts learn to skip the queue. The critical alert that matters is buried in the same noise as the 150 that don't.
Context gaps
An alert tells you what happened - process X executed - but not why it matters or what to do about it. The analyst spends 20 minutes reconstructing context that could have been assembled automatically.
Fragmented investigation
Tracing an attack chain means switching consoles, correlating timestamps manually, and reconstructing process lineage from disconnected log entries. What should take 5 minutes takes an hour.
Triage recommendation before the analyst opens the alert
Every high and critical alert gets an automatic plain-English explanation and a concrete triage recommendation - investigate, escalate, or false positive - generated before an analyst clicks through.
The AI reads your own data to build context: recent events on that host, open alerts for the same MITRE ATT&CK technique, the endpoint's trust score history, and relevant threat intel. It returns a one-paragraph explanation, a recommended action, and the reasoning behind it.
The model runs fire-and-forget - it never blocks alert ingestion. If your LLM provider is unavailable, every other feature continues working normally. Works with Anthropic, OpenAI, Azure OpenAI, Gemini, or a local Ollama instance.
winword.exe with encoded command. Parent process is a 2-hour-old Word session. No matching alerts in the last 30 days for this host.Walk the attack chain back to root cause in one view
Every alert links to a complete process tree. Parent process, command line, user context, child processes, file activity, and network connections - in a single scrollable view with no context switching.
Lateral movement, persistence techniques, and command-and-control callbacks are visible as a connected chain rather than isolated log lines. The time from "alert opened" to "attack chain understood" drops from an hour to minutes.
Search the event store without learning a query language
Not every threat triggers an alert. LightEDR lets analysts describe what they are looking for in plain English - "show me all PowerShell processes that made outbound connections in the last 48 hours on hosts with a trust score below 0.7" - and translates it to a structured event query automatically.
90 days of telemetry. Full event corpus. No schema memorisation required.
This lowers the barrier to proactive threat hunting without adding another tool or training requirement. Analysts who are good at pattern recognition can be good threat hunters without becoming query language experts first.
Trust context on every alert, automatically
Every alert includes the endpoint's current trust score and its recent trust history. An alert from a host whose trust score has been dropping over the past hour is fundamentally different from the same alert on a stable, high-trust endpoint.
This context - which most EDR platforms do not surface at all - changes the triage priority automatically. Analysts are not guessing whether an alert is anomalous. The trust engine already quantified that for them.
For SOC teams managing endpoints across multiple client environments, the multi-tenant architecture keeps every tenant's alerts, events, and trust data isolated. Switch between tenants from a single console. No cross-tenant data exposure.
What lean SOC teams actually care about
See LightEDR on your SOC workflow.
A 30-minute call with the people building it, tuned to your alert volume and detection priorities. We will configure a sandbox tenant with your preferred LLM provider and walk through a live investigation.