AboutDigital evolution is making it imperative that an organizations crown jewels and most importantly their brand is protected from Cyber criminals.
This needs staying ahead of cyber criminals at all times. As such cyber security cannot be just an off the shelf security product implementation but needs a risk based wholistic approach which encompasses product, people and process. Further more this needs to be customized to an organizations architecture and exposure to attacks specific to their industry vertical.
An evolving threat landscape requires continuously ensuring your organization is well protected.
Cyful provides a complete Eco-System required for Cyber cover
Why Cyful?How is Cyful helping organizations?
Cyful Assessment
Evaluates the current cybersecurity posture of an organization. Through initial risk assessments organizations gain a clear understanding of their likelihood of a breach.
Cyful Cover
In partnership with leading Takaful/Insurance providers enables Cyber security cover for enterprises.
Cyful Enhancement
Focus to help end customer to enhance their Cyber security Posture with consulting and awareness to decrease breach likelihood and risk.
Key FeaturesThe value we bring to your organization
Risk Assessment
A structured evaluation of an organization's current cybersecurity posture.
Policy Assignment
Automatically match and assign cyber policies based on assessment and eligibility criteria.
Ecosystem Enablement
Supports insurers and reinsurers with built-in lead generation and distribution capabilities.
White-Label solution
Easily customizable for insurance providers to launch branded cyber coverage offerings at speed.
Portfolio Monitoring
Track the ongoing cyber risk status of insured organizations to manage exposure across your book of business.
External Risk Scan
Analyzes organization’s public-facing assets to detect exposed systems, vulnerabilities, and misconfigurations.
Claim Automation
Streamlines cyber claim processing using verified assessment data for faster, more efficient resolution.
Advance Analytics
For risk and incidents trends, underwriting optimization and claims history.
faqEverything you need
to know about
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.