Intuitive.Cloud, a cloud and software-defined everything (SDx) company, now offers the Safe Security Security Assessment Framework for Enterprises (SAFE) cybersecurity risk quantification and management platform to global enterprises, according to a prepared statement.
Intuitive can provide its customers with "unmatched visibility to manage cyber risks proactively," CEO Jay Modh said.
SAFE gives Intuitive customers visibility into cyber risk and prioritized risk management, as well as reporting cybersecurity risk as potential financial risk. It can be used in conjunction with Intuitive's services to help security and risk management leaders "engage in dollar-driven and risk-based cybersecurity discussions," Safe CEO Saket Modi said.
A Closer Look at the SAFE Platform
Organizations can use SAFE to measure, manage and mitigate cyber risks in real time, Safe noted. The platform uses machine learning to provide organizations with a SAFE Score that indicates the likelihood of a data breach and its financial impact.
Key features of SAFE include:
- Interactive Cost Model. Organizations can calculate the dollar-value risk per cyberattack vector.
- Return on Security Investment (ROSI) Calculator. Organizations can get the most value out of their cybersecurity investments.
- Cyber Insurance Assessment. A free quantitative cybersecurity risk assessment is available to cloud-based organizations.
MSSPs and MSPs can integrate SAFE into their offerings via Safe's partner program.
Safe Security Announces ASEAN Distribution Partnership
The Intuitive partnership comes after Safe in May 2022 appointed AZ Asia-Pacific as its distribution partner across the Association of Southeast Asian Nations (ASEAN). With the partnership, AZ Asia-Pacific will offer SAFE to ASEAN organizations, the company said.
More than 200 Fortune 2000 companies have partnered with Safe to date, the company noted. Safe previously has partnered with Infosys and received funding from BT, which has a Top 250 MSSP business unit, and looks poised to further expand globally.