NextGen SIEM · Unified Detection · Exposure Management

One platform. One graph.
Not twenty-three.

AutoCops Netgraph unifies SIEM, EDR, NDR, UEBA, SOAR, an agentic AI SOC, CNAPP, DSPM, CTEM, Dark Web Monitoring, Vulnerability Management, SAST/DAST, BAS, and phishing simulation onto a single security knowledge graph — so every detection, hunt, and containment is a graph traversal, not a dashboard stitch.

Exclusively Made in IndiaPractitioner-driven, not market-drivenGraph-native correlationAir-gap readyDPDP / CERT-In first-class
23
Security modules unified
SIEM, EDR, NDR, UEBA, SOAR, Agentic AI, CNAPP, DSPM, CTEM, DWM, VM, SAST/DAST, BAS, Phish-sim, more.
≤ 60s
MTTD
For streaming detections on Tier-1 use cases.
≤ 15 min
MTTR
For automated playbooks across the graph.
≤ 15%
Of Splunk / QRadar ingest cost
At equivalent retention.

The Netgraph difference

The graph is the substrate — not a feature.

Every incumbent “NextGen SIEM” treats logs, identities, assets, vulnerabilities, code, and cloud posture as separate index domains stitched together with dashboards. Netgraph treats them as a single typed graph where every event, alert, finding, asset, identity, and CVE is a node with edges — and detection, hunting, and containment are graph operations.

Closed-loop detection engineering

Alerts become detections. Detections validate themselves.

L1 triages every alert. L2 investigates with a full entity subgraph. RCA emits a “gap list” of detections that shouldhave fired. The Detection-Drafting agent writes the rule, ships it through the same PR & validation pipeline as a human author, and retroactively replays it across history. The loop closes.

  • Eight-agent SOC — L1 · L2 · L3 · RCA · Threat Analyst · Threat Hunter · Forensic · SOC Manager — plus Phish-triage, a SOAR agent, and the app-wide Frontal assistant.
  • L1 autopilot triages every new alert autonomously.
  • 75-skill library with policy-as-code graduated autonomy (single / dual / auto approval, durable HITL queue).

Open by construction

Your data, your formats. No proprietary lock-in.

Tiered storage from day one: hot interactive tier · warm columnar archive · cold object storage, all federated by one query layer. Detections live in open standards-based rule languages. If you ever leave, your data is in open columnar formats — you keep querying with any standard reader.

  • OCSF / ECS-conformant normalized fields plus raw JSON preserved.
  • 90-day hot / warm retention; 7-year cold archive on object storage.
  • Detection-as-Code in Git: PRs, A/B tests, automatic regression.

How the graph works

The security knowledge graph.

Four stages, one closed loop. Where competing platforms stop at “AI investigates an alert,” Netgraph closes the loop — every investigation produces a drafted detection, every detection is BAS-validated, and every change replays against seven years of history before going live.

Live flow — left to right: 23 source modules feed correlation; correlation projects typed nodes into the per-tenant graph; the eight-agent SOC queries the graph; RCA drafts new detections that loop back — BAS-validated, retroactively replayed.
01

Ingest

23 modules · OCSF / ECS normalised

02

Correlate

Typed graph · per-tenant

03

Reason

8 agents · drafted detections

04

Act

BAS gate · retro replay · contain

Unlike AI-SOC overlays that investigatealerts on top of someone else’s stack, Netgraph owns the loop: ingest → correlate → reason → act, all on one graph, all on open formats, all auditable, all on-prem if you want.

23 modules · one product

Breadth is shipped — not aspirational.

Each module is a full slice — model, repository, API, and frontend page — all reading and writing the same graph.

Detect & Respond

The streaming core — ingest to verdict to containment, in one loop.

Origin · Ethos

Built in India, by practitioners — for practitioners.

Two non-negotiables shape every decision we make about Netgraph — from the data model to the default playbooks. They aren’t bullet points on a deck; they’re filters we apply to every PR.

Exclusively Made in India

Designed, engineered, and operated end-to-end inside India. No offshored core, no foreign-controlled data plane, no telemetry leaving the country.

  • All code, infrastructure, and SOC operations India-resident.
  • Compliant with DPDP Act 2023, CERT-In 6-hour reporting, RBI, SEBI, IRDAI, MeitY guidelines — by construction.
  • Available on GeM for government and PSU procurement.
  • Air-gapped deployment supported from day one.

Practitioner-driven, not market-driven

Every module starts from a real SOC pain — an alert that took too long, an investigation that hit a dead end, a regulator clock that almost missed. Not from an analyst report or a competitor's roadmap.

  • Closed-loop detection engineering: RCA drafts detections, BAS validates them, retro replay proves them.
  • Detection-as-Code in Git: PRs, A/B tests, automatic regression.
  • SMB compute footprint (32 vCPU · 128GB · 2TB SSD) — because most Indian SOCs aren't running hyperscale.
  • Open columnar formats — if you ever leave, you keep querying with any standard reader.

Vs. the incumbents

Why customers pick Netgraph.

Across the three dominant categories of incumbent platforms — legacy enterprise SIEM, hyperscaler-bundled XDR, and AI-SOC overlays — each covers a slice. Netgraph covers the stack on one graph, with open data, at SMB-feasible compute.

CapabilityNetgraphLegacy enterprise SIEMHyperscaler-bundled XDRAI-SOC overlay
Native security knowledge graphYes — substrateNoPartialNo
SIEM + XDR + NDR + SOAR unifiedYesBolted-onPartialNo
CNAPP · DSPM · VM nativeYesNoPartialNo
Detection-as-Code with BAS gateYesNoNoNo
Open columnar & telemetry formatsYesProprietaryProprietaryN/A
Air-gapped deploymentYesPartialNoNo
DPDP · CERT-In · RBI built-inFirst-classAdd-onAdd-onNo
SMB compute footprint (32 vCPU)YesNoCloud-onlyCloud-only
Made in India · India-resident opsYesNoNoNo

Specific vendor names omitted by design. Read the full comparison & evaluation checklist →

Indian regulatory · first-class, not bolted on

DPDP Act 2023. CERT-In 6-hour. RBI · SEBI · IRDAI · MeitY.

Statutory clocks run on the Declared Incidents module — surfaced on the CISO scorecard and exportable as regulator-ready evidence packs with hash-chained chain-of-custody.

DPDP Act 2023CERT-In 6hRBI Cyber ResilienceSEBI CSCRFIRDAIMeitYGDPR · 72hHIPAAISO 27001SOC 2

Ready to see it?

One platform. One graph. Live in your stack.

Book a 45-minute live demo. We’ll wire a sample tenant against your data sources and show the closed loop — alert → investigation → drafted detection → BAS-validated rollout — end-to-end.

Explore the resource library — field notes, whitepapers, security research, and case studies from the practitioner team.