India's first FL-native cybersecurity platform

COLLECTIVE INTELLIGENCE. ZERO DATA SHARED.

FedGuard trains a shared AI threat detection model across Indian banks, hospitals and telecoms — without any organisation sharing a single byte of customer data. Your raw data never leaves your server. Not by policy. By mathematics.

Request free 90-day pilot → See how FL works

100%Detection accuracy — POC Day 1

0 bytesRaw data ever leaves your server

—Days until DPDPA enforcement

₹250CrMax DPDPA penalty per violation

The problem

YOUR DEFENDERS FIGHT ALONE.
ATTACKERS NEVER DO.

Every Indian organisation holds threat intelligence that could protect every other. But sharing it is legally impossible. DPDPA makes it dangerous. Competition makes it unthinkable. Federated learning makes sharing unnecessary.

83%

of Indian organisations were attacked in 2023

Banks, hospitals and telecoms all face slices of the same attack campaigns — yet cannot share what they know. Every organisation defends with incomplete intelligence while attackers operate with a complete picture.

10%

of total threats any single organisation sees

Your security model trains only on your data. When a new UPI fraud pattern hits 30 NBFCs simultaneously, your system detects it only after it reaches you. FedGuard detects it the moment it hits the first participant.

₹250Cr

DPDPA penalty per violation — enforced May 2027

India's Digital Personal Data Protection Act makes sharing raw threat data across organisations legally catastrophic. Traditional threat sharing is dead. Federated learning is the only architecture that survives the law.

Federated learning — explained

THE MODEL TRAVELS TO YOUR DATA.
NOT YOUR DATA TO THE MODEL.

Traditional AI security ships your data to a central server. Federated learning inverts this completely — the AI model travels to where your data lives, trains locally, and only encrypted mathematical weight updates ever leave your premises. Your raw data never moves.

Participant organisations

Axis Finance NBFC

Training on local fraud patterns · 2.3M transactions

LOCAL DATA: NEVER TRANSMITTED · GRADIENTS ONLY →

Apollo Healthtech

Training on ransomware signatures · 890K records

LOCAL DATA: NEVER TRANSMITTED · GRADIENTS ONLY →

BSNL Telecom

Training on DDoS patterns · 14.7M network events

LOCAL DATA: NEVER TRANSMITTED · GRADIENTS ONLY →

FedGuard hub

FedAvg
Round 5

Global Model v5.2

Merges encrypted weight updates from all participants using Federated Averaging

What actually travels

→ Client to hub

Encrypted gradient vectors only. Differential privacy noise applied before any transmission. Zero transaction records, zero patient data, zero network logs cross the wire.

✓ DPDPA SAFE

← Hub to client

Updated global model weights only. Each participant receives a smarter detection model that learned from everyone's threats — with zero visibility into any other organisation's data.

✓ CRYPTOGRAPHICALLY VERIFIED

✗ What never travels

Raw transactions. Customer PII. Network packets. Log files. Database rows. Any identifiable information whatsoever. Blocked by mathematics, not policy.

✗ BLOCKED BY ARCHITECTURE

Live training simulation — 3 clients · 5 FL rounds

ROUND 5 COMPLETE

ROUND 1

61.2%

accuracy

ROUND 2

76.8%

accuracy

ROUND 3

89.4%

accuracy

ROUND 4

96.1%

accuracy

ROUND 5

100%

accuracy

Detection accuracy — Round 5 100.0%

1.00

Precision

1.00

Recall

0 bytes

Data shared

Why FedGuard

THE ONLY ARCHITECTURE
DPDPA CANNOT PENALISE.

Every competitor gives you a compliance report written after the fact. FedGuard gives you compliance built into the architecture — mathematically proven, cryptographically audited, and automatically documented with every training round.

⚡

DPDPA compliant by architecture

Raw data never leaves your server — not by policy, by mathematics. DPDPA Section 8(5) requires proof that AI systems preserved data privacy. FedGuard generates a tamper-proof cryptographic audit log automatically with every FL round. Board-level evidence, zero manual effort.

REGULATORY MOAT

🌐

Collective intelligence, individual privacy

Your detection model learns from threats hitting every organisation in the FL network — not just yours. When a new phishing campaign emerges anywhere among 50 participants, every client's model updates before that attack reaches them. No single-org solution can replicate this.

NETWORK EFFECT MOAT

🔌

Zero infrastructure change required

One Docker command on your existing servers — cloud or on-premises. Works alongside AWS GuardDuty, Azure Sentinel, Splunk and IBM QRadar, feeding richer cross-organisational intelligence into your existing SOC. FedGuard is an upgrade, not a replacement.

NON-DISRUPTIVE

🇮🇳

Built for Indian threats, Indian prices

Trained on CERT-In intelligence feeds, UPI fraud patterns, Aadhaar phishing campaigns and Indian BFSI attack signatures — not American threat data repackaged for India. CrowdStrike costs ₹1.5–2.5 crore per year and cannot deliver DPDPA proof by architecture.

INDIA-FIRST

📡

Threat Intel API — plug into anything

Query threat scores for any IP, domain, file hash or payload via REST API in under 50ms. Embed threat intelligence directly into login flows, transaction pipelines and fraud decisioning engines. ₹0.10–0.50 per query. 1,000 free queries per month. No minimum commitment.

DEVELOPER-FIRST

🔬

Differential privacy — a mathematical theorem

Google's dp-accounting library applies calibrated Gaussian noise to gradient vectors before transmission. Even a sophisticated adversary intercepting the encrypted gradients cannot reconstruct raw data. This is not a marketing claim — it is a formally proven mathematical guarantee.

MATHEMATICALLY PROVEN

Competitive landscape

NO DIRECT COMPETITOR.
FIRST MOVER IS REAL.

34 AI cybersecurity companies in India have raised a combined $16.9M total. Not one is FL-native. The category does not yet exist. FedGuard is building it — and the DPDPA deadline ensures the market arrives on schedule.

Feature	FedGuard	CrowdStrike / Palo Alto	AWS GuardDuty	Indian IT (TCS/Wipro)
FL-native architecture	✓	✗	✗	✗
DPDPA compliant by design	✓	✗	Partial	✗
Cross-org threat intelligence	✓	✓	✗	✗
Raw data stays on-premises	✓ Always	✗ Data leaves	✗ Metadata sent	Varies
India-first threat models	✓	✗	✗	Partial
Zero infrastructure change	✓ One command	✗ Full agent	✓	✗ Full deploy
Threat Intel REST API	✓	Limited	Limited	✗
SME-accessible pricing	✓ From ₹80K/mo	✗ ₹1.5Cr+/yr	Usage-based	✗ Managed only
Cryptographic audit trail	✓ Auto-generated	Manual	CloudTrail only	✗

Market context

A ₹55,000 CRORE MARKET
WITH A HARD DEADLINE.

India's cybersecurity market grows at 18.07% CAGR. DPDPA enforcement in May 2027 is legislation, not a rumour. Every company with customer data needs proof of privacy-preserving AI by that date. FedGuard generates that proof automatically.

$6.56B

India cybersecurity — 2026

Current addressable market

$15.06B

India cybersecurity — 2031

5-year projection at 18.07% CAGR

83%

Indian organisations attacked in 2023

CERT-In Annual Report 2023

$16.9M

Total VC raised — all Indian AI cybersec

34 companies combined · space wide open

FL-native security companies in India

First mover window: approximately 14 months

—

days until DPDPA full enforcement
May 13, 2027

Penalties up to ₹250 crore per violation under Section 33

Section 8(5) requires proof that AI systems preserved data privacy

FedGuard auto-generates this proof with every FL training round

Companies starting pilots now build 12 months of compliance history before enforcement

Compliance documentation backdated to your pilot start date — start now, not in 2027

Pricing

ENTERPRISE SECURITY.
NOT ENTERPRISE PRICING.

CrowdStrike costs ₹1.5–2.5 crore per year and cannot deliver DPDPA compliance proof by architecture. Start with a completely free 90-day pilot — no credit card, no commitment, no sales queue. You talk directly to the founder.

Pilot

FREE

90 days · zero commitment

FL agent on 1 server
Full threat detection dashboard
DPDPA compliance audit trail
1,000 Threat Intel API queries
Weekly detection reports
Direct founder support

Start free pilot →

YOUR DATA NEVER LEAVES.
YOUR THREATS DO.

We install a Docker agent on one of your existing servers. You see real threat detection results within 48 hours. If it doesn't deliver — you've lost nothing. If it does — you have 90 days of DPDPA compliance history before paying a single rupee.

✓

Request received.

Mihit Nanda (Founder & CEO) will personally respond within 24 hours to schedule your pilot setup call. No sales queues. No SDRs. You talk directly to the person who built FedGuard.

No sales calls. No spam. No commitment. The pilot is completely free for 90 days.
hello@fedguard.ai · fedguard.ai · FedGuard Private Limited, Dadri, Uttar Pradesh

Signed in.

Account created!

COLLECTIVE INTELLIGENCE. ZERO DATA SHARED.

YOUR DEFENDERS FIGHT ALONE.ATTACKERS NEVER DO.

THE MODEL TRAVELS TO YOUR DATA.NOT YOUR DATA TO THE MODEL.

THE ONLY ARCHITECTUREDPDPA CANNOT PENALISE.

NO DIRECT COMPETITOR.FIRST MOVER IS REAL.

A ₹55,000 CRORE MARKETWITH A HARD DEADLINE.

ENTERPRISE SECURITY.NOT ENTERPRISE PRICING.

YOUR DATA NEVER LEAVES.YOUR THREATS DO.

Request received.

YOUR DEFENDERS FIGHT ALONE.
ATTACKERS NEVER DO.

THE MODEL TRAVELS TO YOUR DATA.
NOT YOUR DATA TO THE MODEL.

THE ONLY ARCHITECTURE
DPDPA CANNOT PENALISE.

NO DIRECT COMPETITOR.
FIRST MOVER IS REAL.

A ₹55,000 CRORE MARKET
WITH A HARD DEADLINE.

ENTERPRISE SECURITY.
NOT ENTERPRISE PRICING.

YOUR DATA NEVER LEAVES.
YOUR THREATS DO.