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.