Each industry faces a different mix of threats. By understanding the biggest threats to your industry, you will be able to make the best use of your security budget and mitigate the risks. If your sector isn't there, that doesn't mean your safe.
Automate various penetration testing method while enhancing the infrastructure defences. Using AI algorithm to improve the effectiveness of automation
Be aware of the risk from the vulnerability of your assets before the attacker does. Correlate vulnerability data with the latest threat of data intelligence
Enrich user experience with accessing data bank within a simple and straight-forward dashboard integrated with analytics and recommendation action
Enhance internal development workflow using automation, combined with the security module to ensure secure development environment
WHAT IS THE DIFFERENCE??
The engine is capable of detecting vulnerabilities quickly and proficient to penetration testing.
The results of the review are mapped based on various types of frameworks / best practices such as: ISO 27001, PCI DSS, OWASP, CAPEC, CWE
Reviewing or executing hardening configurations found in several types of operating systems
Collecting Data from threat intelligence, Open Source Intelligence, Social Media, Deep Web collected based on research and analysis of cybercrime, hacktivism, and cyber espionage
Calculate the risk value found in each threat potential that has been found and other information
Core of all information gathering activities. components that have been included with Artificial Intelligence will present various types of information needed and are able to predict the possibility of cyber attacks