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NSCA — Network Security Cloud AnalyticsNSCAintelligence at every scale
NSCA/est. 2022/five layers

intelligence
at every scale.

01 · AI
02 · Analytics
03 · Cloud
04 · Security
05 · Network

Network Security Cloud Analytics is a consulting practice covering the entire stack — from the substrate of your network to the cognitive layer of your AI. We work at the layer most consultants skip.

explore the stackor, just say hello
live·5 layers·1 discipline
Section IIThe Stack

One practice. Five layers. From substrate to cognition.

NSCA is engineered around one premise: the layers you build on are the layers that fail. We work all of them — and the seams between.

01 / 05
substrate
Network.

Where everything begins.

We design networks that fail gracefully and observe themselves — SD-WAN, segmentation, BGP, monitoring, the full stack. The substrate everything else rides on.

·SD-WAN
·Segmentation
·Observability
·BGP / routing
·Capacity & failure modelling
02 / 05
posture
Security.

Zero trust is a posture, not a product.

We build SOCs, run threat hunts, and write the runbooks others copy. Detection engineering, incident response, and the boring discipline that makes the loud day quiet.

·SOC build & run
·Detection engineering
·Threat hunting
·Zero-trust architecture
·Pen testing & red team
03 / 05
fabric
Cloud.

Multi-cloud is a strategy only when it adds up.

We make the bill, the audit, and the diagram match. Multi-cloud migration, FinOps, landing zones, governance — the fabric your applications run on, accountable end to end.

·Multi-cloud migration
·FinOps
·Landing zones
·Compliance evidence
·Continuity / DR
04 / 05
observation
Analytics.

Decisions need data. Dashboards need craft.

Pipelines, warehouses, and the visualisations that turn a quarter into a verdict. We instrument the questions a board actually asks — and answer them on time.

·Data warehouse
·Pipelines & ELT
·BI & dashboards
·Forecasting models
·Observability data
05 / 05
cognitive layer
AI.

The new layer. Treated with the same seriousness as the old ones.

AI control planes, model endpoint security, inference networking, and the SOC agents that watch the watchers. We architect the layer where your network meets your model.

·AI control plane
·Model endpoint security
·AI networking
·SOC agents
·Eval & guardrails

thereisanordertoit.networkbeforesecurity.securitybeforecloud.cloudbeforeanalytics.analyticsbeforeintelligence.fivelayers,onediscipline —readinsequence,builtinsequence,brokeninsequence.

NSCA — order of operations
Section IIICapabilities

A short list of things we do very well.

We'd rather be expert at nine things than mediocre at ninety. This is the deeper map underneath the five layers.

01

SOC, built and run

Detection engineering, on-call runbooks, threat hunting, IR. Greenfield builds and rehabilitations of SOCs that have grown noisy.

02

SOC Agents

Agentic workflows that triage, correlate, and escalate. Designed to amplify the analyst, not replace them.

03

AI Control Plane

Where models are routed, observed, evaluated, and gated. Cost, drift, latency, safety — one operational surface.

04

AI Networking

The data plane for inference: VPC peering, private endpoints, egress control, observability for token-level traffic.

05

AI Security

Prompt injection defence, model endpoint hardening, RAG ingestion controls, red-team exercises for LLM applications.

06

Zero-Trust Architecture

Identity-aware proxies, microsegmentation, BeyondCorp-class posture. Built around real workflows, not slides.

07

Cloud FinOps

Allocation, anomaly detection, unit economics, savings plans. The bill explained, then reduced — without breaking what works.

08

Pen Testing & Red Team

Adversary emulation, application testing, cloud red-team. Not a checkbox engagement — a controlled rehearsal of your worst day.

09

Data Platform Engineering

Warehouse design, pipelines, governance, lineage. The boring foundations that make the AI work later.

Section IVEngagements

Recent work, with the names taken out.

sample·awaiting publication·names withheld at client request·outcomes generalized
01 / 03
SectorFinancial services
LayerSecurity
Year2024

A noisy SOC the engineers had stopped trusting — pages every shift, almost none actionable.

Approach

Six months of detection re-engineering: deleted half the rules, rebuilt the survivors against a real adversary model, wrote runbooks for each, and reset the on-call cadence so the rotation could breathe.

Outcome

Roughly halved page volume by the second quarter. The weekend rotation went from feared to quiet. Two analysts the firm had been planning to backfill chose to stay.

·Detection engineering·SOC rehab·Runbooks·On-call cadence
02 / 03
SectorLLM-first SaaS
LayerAI
Year2024–25

Six product teams shipping LLM features in parallel — no shared evaluation surface, no cost ceiling, no safety gate.

Approach

Designed and stood up an AI control plane: routing, prompt registry, eval suites tied to releases, token-level cost allocation, and a single safety gate that blocked egress on red flags. Two engineers from the firm rotated through the build so it stayed theirs.

Outcome

Inference spend became legible at the feature level. Releases got their first real gate. Two near-misses caught in pre-release eval instead of in production.

·AI control plane·Eval & guardrails·Cost allocation·Model routing
03 / 03
SectorMulti-region retailer
LayerCloud
Year2023–24

A multi-cloud bill growing faster than revenue, no one in the company able to explain the line items past the top three accounts.

Approach

Built an allocation taxonomy from the ground up — every workload tagged, every account mapped to a product line. Layered anomaly detection on top, then negotiated commitments against demand that finally had a shape.

Outcome

Unallocated spend fell into the single digits within a quarter. Three workloads were retired entirely once their actual cost showed up against their actual value. The bill became something the finance team defended like a budget.

·FinOps·Allocation·Anomaly detection·Commitments
Section VMethod

How an engagement runs.

Plain about the work, plain about the time, plain about who is on the call. The same shape every engagement, from the smallest to the largest.

  1. 01
    First callwithin one business day

    Direct with the principal. Not a sales call. We listen long enough to know whether we are the right firm for the problem in front of you. If we are not, we say so — and where possible, name who is.

  2. 02
    Scope≈ one week

    We turn the conversation into a written brief: outcome, constraints, the unknowns we will have to learn on the way, the artifacts you will receive. Fixed-scope where the unknowns allow it. Retainer where they do not.

  3. 03
    Buildtypically 6–14 weeks

    A small senior team — no benched juniors, no body-shop. Real artifacts: diagrams that match production, runbooks the on-call can read at 3 a.m., repositories your engineers own. One written update a week, on the same day every week. One person accountable for the engagement, end to end.

  4. 04
    Hand-offand a quarter of free questions after

    The engagement ends when your team can run what we built without us in the room. We document the boring parts on purpose. For ninety days after hand-off, your questions are still ours to answer — at no charge.

What we commit to
  • 01The first call is with the principal, every time.
  • 02Senior practitioners only — no benched juniors, no resale of someone else's time.
  • 03Real artifacts: diagrams, runbooks, repositories, dashboards. Not slides.
  • 04Honest, in writing, about what is solved and what is still in motion.
What we will not do
  • 01We do not resell licenses.
  • 02We do not run engagements without an outcome we both agreed to, in writing, on day one.
  • 03We do not staff proofs-of-concept that will not ship.
Section VIPractice

Founded in 2022 to do one thing — operate the layer where the network meets the model, and make sure it holds.

We work with founders running their first 100-person scale-up, and with security teams running 50,000-person enterprises. The hands are the same. The standards are the same.

We don't ship slides. We ship runbooks, repositories, diagrams that match production, and the operating cadence that keeps them honest.

Discipline at every layer. Intelligence at every scale.

2022
founded
05
layers / pillars
SMB → ENT
every scale, literally
India
based · global delivery
Section VI·bFounder
TM
nsca·founder
est. 2022IN
TM
Founder · Principal

I started NSCA because the layer I cared about most — the seam where the network meets the model — was the layer nobody owned.

I have spent years inside networks, SOCs, cloud migrations, and lately the operating layer underneath modern AI. Long enough to learn the obvious lesson — that the boring disciplines are what hold, and the loud ones are what fail.

I run NSCA the way I would want a consultant to run an engagement on my own systems. Small senior teams. Real artifacts — diagrams, runbooks, repositories — not slides. Honest about what is solved and what is still in motion.

If something on this site speaks to a problem you are sitting with, write to me directly. I read every note.

Reach
hello@networksecuritycloud.com
Based
India · global delivery
Section VIIBegin

Let's build the layer that holds.

Talk to us
hello@networksecuritycloud.com

A short note about what you're building (or trying to defend) is enough. We reply with a real human within one business day.

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