Always-On Trust

1M+
Protected Users Worldwide

Every Session, Every Interaction

The Kreesalis Platform for Identity, Fraud & Compliance Intelligence

Authentication Solved Access. It Never Solved Trust.

Attackers get in and stay in.

Trusted by big companies around the world

Developer
Rated 4.8 out of 5
				
					python
from kprotect import KProtect
kp = KProtect(api_key="YOUR_API_KEY")
def process_request (req):
user = req.user_id
signals = req.headers.get ("X-KP-Signals")
risk = kp. evaluate(user, signals)
if risk["score"] > 80:
return {"error": "blocked", "reason": risk["reason"]}
return {"status": "allowed", "risk": risk["score"]}
				
			

How are we redefining trust, beyond static authentication

Introducing CCTK™

Continuous Cryptographic Trust Keys

CCTK™ is a cryptographic primitive that represents live trust-not identity.

CCTK™ is a New Standard, Not a Feature

Measurable Impact on Your Most Critical Metrics

Reduction in Fraud Losses as validated by leading digital banks. 40% reduction under 90 days.

0 %

Saved from Abuse. By stopping promo abuse and bot-driven fraud for global e-commerce leaders.

$ 0 M

Reduction in fraud investigations workload. 40% fewer escalations.

0 %

Annual compliance cost reduction for a multinational bank.

$ 0 M

Enterprise Intelligence in Action

AI-Powered Fraud Detection

How a leading fintech company reduced fraud by 87% while improving customer experience using K-Protect

KEY RESULTS

Telecom - using the Kreesalis Trust Layer

How a telecom transformed customer engagement with K-Protect AI-powered trust layer.

KEY RESULTS

Automated Compliance & Risk Management

How a multinational bank streamlined compliance processes and reduced risk through AI-driven automation.

KEY RESULTS

Buyer–Seller Collusion Prevention

K-Protect detects coordinated fraud between buyers and sellers by correlating behavioral patterns, device signals, session continuity, and transaction timing across accounts — even when credentials and IPs differ.

KEY RESULTS

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