AI Cybersecurity Infrastructure — India First

Every way AIattacks yourbusiness.

Kapricot is the defence layer for the AI threat era. From fake evidence to prompt injection, synthetic identities to poisoned models — one platform that covers every modality AI is being weaponised through.

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Image Generation
Prompt Injection
Voice Cloning
Synthetic Identity
Model Poisoning
Agentic Fraud
Deepfake Video
RAG Poisoning
Document Forgery
Adversarial Attacks
KYC Bypass
Model Distillation Theft
Image Generation
Prompt Injection
Voice Cloning
Synthetic Identity
Model Poisoning
Agentic Fraud
Deepfake Video
RAG Poisoning
Document Forgery
Adversarial Attacks
KYC Bypass
Model Distillation Theft

AI fraud isn't a new category of the same problem. It's a fundamental break in how trust works. The photograph is no longer proof. The voice is no longer authentic. The document is no longer real. Every system built on the assumption that evidence can be believed is now structurally vulnerable.

The Problem

Most fraud detection was built for a world where faking evidence required skill. GenAI eliminated that barrier entirely. A convincing fake damage photo takes 30 seconds. A voice clone needs 3 seconds of audio. A synthetic identity assembles in minutes. The attackers have scaled. The defences haven't.

Our Answer

Kapricot is built on a simple thesis: every platform that accepts digital proof is now an attack surface. We build the forensic intelligence layer between the claim and the decision — detecting not just fake images, but every modality AI is being weaponised through. One API. Every threat. Every industry.

Threat Landscape

7 ways AI is being weaponised right now

$534B
Lost globally to fraud in the past 12 months
01
Generation
Fake Artefacts
AI creates images, video, audio, documents and identities from scratch. Fake damage photos, synthetic KYC docs, AI-written malware. Wave 1 — most platforms only defend here.
Refund abuse via fake damage photos
Synthetic KYC documents & IDs
AI-generated expense receipts
FraudGPT malware generation
02
Injection
Hidden Commands
Instructions hidden inside content an AI will process — PDFs, emails, images. The victim asks "summarise this." The payload executes silently. OWASP's #1 LLM vulnerability.
Direct prompt injection in chatbots
PDF payload → data exfiltration
Image metadata injection
EchoLeak: CVSS 9.3 Copilot attack
03
Impersonation
Synthetic Identity
Real-time deepfakes, voice clones, writing style mimicry. The attacker becomes indistinguishable from your CEO, your bank, or a family member. Arup lost $25M in one meeting.
Realtime KYC deepfake bypass
CEO voice clone → wire fraud
Bank IVR cloning in Hindi/Tamil
AI writing style impersonation
04
Poisoning
Model Corruption
Attacker corrupts what AI learns, retrieves, or trusts at the source. Training data backdoors, RAG manipulation, open-source model supply chain attacks.
Training data backdoor injection
RAG knowledge base corruption
HuggingFace supply chain attack
Feedback loop manipulation
05
Automation
Machine Scale
Human-level attacks executed simultaneously across millions of targets. Hyper-personalised phishing at 10,000 emails per minute. 50K-account fraud rings.
Hyper-personalised phishing (54% CTR)
50K COD fraud ring orchestration
Automated vulnerability discovery
Agentic fraud — zero human loop
06
Inference
Secret Extraction
Extracting private data or decision rules from AI systems without breaking in. Adversarial probing maps your fraud model's boundary. Your API becomes the oracle.
Adversarial rule reverse-engineering
Model inversion → data leakage
Membership inference attacks
Model distillation IP theft
07
Physical World
Real World Escape
AI attacks that escape digital systems into physical reality. Adversarial stickers fool road signs. 3D-printed faces defeat biometric gates. Infrastructure AI takeover.
Adversarial stickers on stop signs
3D face print → biometric bypass
Warehouse robot misdirection
Infrastructure AI takeover
Industries

One platform. Every industry.

The same forensic engine that catches a fake return photo on Flipkart catches a deepfake injury video at HDFC Ergo, a synthetic KYC selfie at Razorpay, and a fabricated salary slip at a neo-bank. One API. Infinite industry surface area.
↗
$138B
ecommerce fraud annually
E-Commerce & Retail
Refund abuse, fake damage photos, COD manipulation, empty box fraud. India's ₹50–500 order economy makes fraud investigation impossible without AI forensics at scale.
Refund fraudCOD abuseFake returnsSeller fraud
↗
$200B+
banking & fintech losses
Banking & Fintech
Synthetic identities, AI-generated KYC documents, account takeover at machine scale. UPI fraud alone cost India ₹1,457 crore in FY2024.
KYC bypassSynthetic IDsATOUPI fraud
↗
$45B
insurance fraud annually
Insurance
AI crash photos, fake injury videos, deepfake witness statements. Allianz saw a 300% increase in AI-manipulated evidence in 2024.
Fake claimsDeepfake evidenceStaged accidents
↗
$170B
healthcare fraud — US alone
Healthcare
AI-generated injury footage, fabricated diagnostics, fake medical certificates. 2025 US takedown: $14.6B in intended losses across 324 defendants.
Fake certsInjury videosBilling fraud
↗
↑ 400%
AI-fabricated legal evidence
Legal & Compliance
Deepfake evidence in courts, AI-forged contracts, synthetic audio. Evidence authenticity is a fundamental unsolved problem in courts worldwide.
Evidence authDoc forensicsChain of custody
↗
Explosive
gig & delivery fraud growth
Gig & Platform Economy
Fake delivery proofs, AI-manipulated rental photos, food quality scams. Swiggy, Zomato, Zoomcar — the delivery photo is the new Indian attack surface.
Delivery fraudRental damageFood claims
Detection Engine

How Kapricot thinks.

01
Forensic layer
Pixel-level inconsistencies, EXIF metadata anomalies, AI model output fingerprints (DALL-E, Midjourney, Stable Diffusion), SynthID watermark detection, compression artifacts that reveal re-saving after AI editing.
02
Contextual intelligence
Cross-modal consistency checks. Is the damage isolated while packaging is pristine? Reverse image search across claim history. Does the metadata timestamp contradict the claim narrative?
03
Behavioural scoring
Customer refund rate vs platform average, claim timing post-delivery, device fingerprint, account age — assessing who is filing, not just what they filed.
04
Graph ring detection
Network-level analysis identifies coordinated fraud rings. Clean individually, damning collectively. Built for WhatsApp-coordinated Indian fraud networks at scale.
05
Adversarial hardening
Non-deterministic outputs, honeypot signals, intelligent rate-limiting — makes reverse-engineering our decision boundary economically impossible.
Kapricot API · claim analysis · 143ms
// POST /v1/analyze · claim_id: KP-88291
pixel_forensics_score0.94
exif_anomaly_score0.87
ai_model_fingerprint"midjourney_v6"
behavioural_risk0.71
ring_connectionfalse
Verdict
REJECT CLAIM
AI-generated damage evidence detected
91
Midjourney v6 output fingerprint confirmed
EXIF data stripped — editing software trace found
Account: 3 refund claims in 14 days
Ring connection: none detected
Recommended: reject + flag for review_
India
India First

The world's largest fraud frontier.

India is at the steepest part of the AI fraud curve. 16.4% YoY fraud growth in APAC — highest globally. The world's highest COD volume. Fraud rings coordinating on WhatsApp at scales no Western tool handles. Ravelin doesn't know what a COD order is. We do.

01
COD & empty box fraud
50%+ of Indian orders are COD. Fraudsters receive goods, claim "not received." Impossible to investigate at scale — the perfect AI abuse vector.
02
UPI & payment interception
₹1,457 crore lost in FY2024. AI vishing in Hindi, Tamil, Telugu, Kannada — languages Western fraud tools don't model.
03
WhatsApp fraud ring orchestration
Tier-2/3 city networks coordinate abuse across thousands of accounts. Clean individually. Only visible at the graph level.
16.4%
YoY fraud growth in APAC — highest globally
₹1,457Cr
UPI fraud losses FY2024 alone
50%+
Indian orders are COD — uninvestigatable at scale
$534B
Global fraud losses · India top 3 most targeted
Why Kapricot

Not a tool. Infrastructure.

01 — Integration
API-first, not dashboard-first
A single POST request returns a risk score, evidence verdict, and recommended action. Integrates into your existing claim flow in hours, not months. No rip-and-replace.
02 — Security
Adversarially hardened by design
Fraudsters probe your API to map your decision boundary. We counter with non-deterministic outputs, honeypot signals, and intelligent rate-limiting. Reverse-engineering is economically impossible.
03 — Coverage
Every modality, one platform
The same platform that catches fake images today catches injected prompts, synthetic voices, and poisoned models tomorrow. One vendor for every new attack type.
04 — Context
Built for the India stack
COD patterns. UPI fraud signals. Regional language phishing. WhatsApp ring graph analysis. Tier-2/3 baselines. Context no Western tool has or can build fast enough.
Roadmap

From image detection to full-stack AI security.

We build sequentially — each phase compounds on the last. By Phase 3, Kapricot is the only platform that defends against all 7 AI attack modalities in a single API call.
Active — Phase 0
Image & Document Forensics
AI-generated image detection
Document authenticity scoring
EXIF & metadata analysis
Pixel-level forensics API
Refund claim verdict engine
MVP → Flipkart Pilot
Q3 2025 — Phase 1
Behavioural Intelligence
Customer risk scoring
COD-specific fraud signals
Graph ring detection
Insurance claim API
Device fingerprinting
Expand → Insurance
Q1 2026 — Phase 2
Identity & Voice Layer
KYC deepfake detection
Voice clone identification
Synthetic identity scoring
Realtime video analysis
Banking & fintech APIs
Expand → Banks & KYC
2026 — Phase 3
Full AI Security Platform
Prompt injection detection
Model poisoning monitoring
Agentic fraud prevention
Consortium fraud network
SEA & Global expansion
Platform → Global
Early Access

Ready to
defend
all 7?

We're onboarding our first design partners in India. If you're building a platform being hurt by AI-powered fraud, we want to hear from you. No commitments. No pricing pressure. Just an honest conversation about your fraud problem.

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