Elevating Cybersecurity to a Superhuman Level

Evolutionary SOAR driven by a team of AI agents who actually DO the work.

What's at stake.

Current challenges

  • 87% of organizations worldwide faced AI-driven cyberattacks in the past year.
  • 27s the fastest recorded AI-driven attack — full data exfiltration took just 4 minutes.
  • 74% of cyberattacks are tied to the human factor.
  • 55% of critical alerts go unhandled because analysts run out of time.

The human-factor crisis: thin AI integration, expertise shortages, and overloaded SOC teams lead to critical errors — missed threats, mis-prioritization, and lost incidents that leave the business exposed.

Smart automation that can counter AI at equal speed — and deliver peak SOC-team efficiency — is no longer optional.

Yet the complexity of existing SOAR platforms demands heavy resources just to set up and keep running.

Sources SoSafe 2025 Cybercrime TrendsCrowdStrike Global Threat ReportGoogle Cloud Cybersecurity ForecastECSO Cybersecurity Market AnalysisarXiv:2505.23397Verizon DBIR 2023Orca Security 2022 Alert Fatigue ReportGartner ITSM Hype Cycle

The state we're in.

The paradox of traditional SOAR: when the solution becomes the problem.

Manpower

Promised automation. Kept alive by manpower.

Traditional SOARs promise to free your SOC team, but end up requiring professional consultants and a dedicated team of engineers just to keep the playbooks running.

Workload

Meant to reduce workload. Ended up creating it.

Instead of focusing on real threats, your team burns endless hours fixing broken integrations and building complex playbooks. AI is limited to advice you have to double-check, or trivial operations — never the high-quality work you actually need done.

Budget

Bought to cut costs. Powered by endless budget.

  • Long, costly deployment — consulting fees and months of setup mean you pay for the product long before you can use it.
  • Massive hiring costs — complex playbook writing demands scarce, high-paid SecOps engineers.
  • Paid connectors and pricey customization — hidden fees for everyday integrations.

Legacy SOAR isn't just software — it's a complex engineering toolkit. Companies buy it to optimize SOC operations, but end up with a massive resource drain just maintaining the platform.

See a smarter way to automate

The solution

Evolutionary Agentic SOAR

Where AI agents orchestrate the entire workflow — from investigation to response — saving your SOC team countless working hours.

  • Run a thousand alerts 24/7 without burning out the team.
  • Slash threat reaction time from hours to seconds.
  • Automate up to 90% of routine tasks — replacing the workload of an entire Tier 1 analyst unit.

How it Works

Connect

Integrate your security stack in minutes. EDR, identity, threat intel, messaging — all in one place.

Automate

Write AI-powered playbooks in code. Analyze alerts, classify threats, orchestrate response — automatically.

Respond

Isolate hosts, push IOCs, notify your team — in seconds, on the actions you choose to automate.

Inside every incident

Examples you compose — Lunsight ships the primitives, not a fixed pipeline. The AI reads and recommends; your automation acts.

Alert

Triage a fresh detection

Example: classify what just fired, then route it.

  1. Detection
    EDR · identity · webhook
  2. Trigger fires
    matches → runs your script
  3. Your script
    Agent enriches & scores agent
    threat intel · host · identity context
    Verdict
    severity · summary · true positive?
    Dedup into an Incident action
    attach IOCs · set severity · route
// triage.ts — Detection-driven auto-triage
//
// A CrowdStrike Falcon detection fires this script. The "security/triage@v3"
// agent READS & enriches only (VirusTotal IOC reputation, CrowdStrike host
// context, M365 identity) and returns a structured verdict. The SCRIPT does
// every write: it upserts/dedups the incident on (vendor, external_id),
// attaches enriched observables, sets severity, and routes — page on-call for
// true positives, auto-close the rest.

import { defineScript, fetchPayload } from "lunex:sdk"
import { agents } from "lunex:ai"
import { incidents } from "lunex:incidents"
import { notify } from "lunex:script/lib/notify"

// The structured verdict the agent submits via its output schema. The agent
// only recommends; it performs no writes.
interface Observable {
  type: string
  value: string
  enrichment?: unknown
}
interface Verdict {
  severity: "info" | "low" | "medium" | "high" | "critical"
  summary: string
  isTruePositive: boolean
  observables: Observable[]
}

export default defineScript(async (event) => {
  // Pull the full detection record for the agent to reason over.
  const detection = await fetchPayload(event)

  // (1) The agent enriches (read-only tools) and returns its verdict.
  const { output: verdict } = await agents.run<Verdict>("security/triage@v3", {
    event,
    detection,
  })

  // (2) The SCRIPT acts on the recommendation — find-or-create, then enrich.
  const { incident, created } = await incidents.upsert("crowdstrike", event.composite_id, {
    title: event.name,
    severity: verdict.severity,
    source: { vendor: "crowdstrike", event_type: event.event_type, ref: event.composite_id },
  })
  for (const obs of verdict.observables) {
    await incident.addObservable(obs.type, obs.value, obs.enrichment) // idempotent
  }
  await incident.comment(`Auto-triage (security/triage@v3): ${verdict.summary}`)
  await incident.attachRun() // link this run for the audit trail

  // (3) Route: page on-call for high-severity true positives, else close benign.
  if (verdict.isTruePositive && (verdict.severity === "high" || verdict.severity === "critical")) {
    await notify(`🚨 ${verdict.severity.toUpperCase()} — ${event.name}\n${verdict.summary}`)
  } else if (!verdict.isTruePositive) {
    await incident.resolve("false_positive")
  }
  console.log(`Incident ${incident.id} ${created ? "created" : "updated"} (severity=${verdict.severity})`)
})

Illustration only — there's no visual mode on the platform. Every flow is written in code (see the Code tab).

Capabilities

Power you can actually control

AI at the core

An AI team that does the work

AI isn't bolted on the side — it's the core of the platform. Luna drafts and debugs your automation, agents triage and enrich every alert, and agent teams run the deep investigations.

  • Narrow single-purpose agents, or whole teams that collaborate.
  • Actions, not advice — the AI drives the workflow end to end.
  • Up to 90% of routine work handled — a full Tier-1 unit's load.
Code-first

Automation in clean code

Every playbook is plain code — versioned, audited, reviewed like real software. No visual builder to drift out of sync, so those bugs never happen. Extend it to fit any stack.

Adaptive

Templates you own

Start from composable examples, then shape them to your processes in minutes. You're never blocked waiting on our engineers — the logic is yours to change.

Controlled autonomy

Machine speed, inside your guardrails

You get AI speed and keep 100% control. Critical actions and generated code are cross-validated and human-approved; agents act only within the limits you set — never freelancing in critical infrastructure.

Reporting

Numbers your board wants

MTTR, alert volume, agent activity — in pre-built dashboards, no spreadsheets. Plus the data layer to build your own.

On-Prem

Deploy where your data lives

Cloud or on-prem — integrate with the infrastructure you already run.

Your zeroth teammate.

Meet Luna

Your personal AI assistant, integrated into the core of the system. She holds the context, can run every function of the platform, and fully covers the technical routine 24/7/365.

Luna, the Lunsight AI assistant, waving

How Luna can help

A typical exchange
  1. engineer

    Build a playbook: phishing ticket in, classify, enrich, route to L1 or L2.

  2. Luna

    Drafted. Five steps, two branches. Open phishing-triage.ts to review.

  3. engineer

    Why is step 03 returning empty?

  4. Luna

    That action calls an integration that isn't connected on this tenant. Connect it, or drop in a stub for testing?

  5. engineer

    How do I version this playbook?

  6. Luna

    Every save is a version. Open History from the editor — diff, roll back, restore.

Management & Automation
  • Agent manager Spins up specialized agents or whole teams and coordinates their work.
  • Code work Writes scripts and finds and fixes the bugs on the spot.
  • Integrations master Wires up your integrations without the fiddly errors.
Analytics & Support
  • Platform guide Walks you through the platform step by step and operates its functions.
  • Expert help Analyzes the problem and picks the best way to solve it.
  • Multimodal Reads any language, log files, and architecture screenshots.
  • Instant reports Generates compliance and CTO/CISO analytics on demand.

Traditional SOAR vs. Lunsight

The core difference

Traditional SOAR playbook-driven
Lunsight agentic · code-first
Operating logic
Traditional SOAR Static — runs a fixed playbook, step by step.
Lunsight Dynamic — agents reason over each alert's context and adapt the assessment.
Facing the unknown
Traditional SOAR Breaks or stalls when a threat doesn't match a template.
Lunsight Forms a hypothesis, pulls more data, and adapts — no rigid template.
Working with data
Traditional SOAR Needs clean, structured logs (JSON, tables).
Lunsight Reads unstructured input too — PDFs, chat threads, screenshots.
Code & maintenance
Traditional SOAR Brittle Python/YAML playbooks, hand-maintained — and drifting out of sync.
Lunsight Clean TypeScript you own — Luna helps write and repair it; every change versioned and audited.
Control & action
Traditional SOAR Rigid automation; changing behavior means re-engineering playbooks.
Lunsight AI enriches and recommends; your code acts within the guardrails you set, with human approval on critical steps.

Integrates with

  • EDR
  • NDR
  • Edge
  • Threat intel
  • Threat intel
  • Identity
  • Ticketing
  • Comms
  • Comms
  • and many more connect anything via code

Get Early Access

Tell us what your SOC looks like. We'll show you what Lunsight changes.

  • AI agents that actually shoulder the work
  • Playbooks you can read, diff, and own
  • Audit-grade by design
contact@lunsight.com