News
The risk management framework with the quantitative threat modeling process is the work’s uniqueness. This work contributes toward making the software systems secure and robust with time.
We speak to security experts about how IT departments and security leaders can ensure they run artificial intelligence systems safely and securely.
The Reserve Bank of India (RBI) has played a significant role in both digital as well as AI adoption in banking. With the ...
Ontic, a software provider delivering Connected Intelligence to transform how corporate and government security professionals manage threats, connect data, and strengthen operations, today announced ...
The construction industry is undergoing a digital revolution, with advanced tools transforming the way projects are planned, ...
The FDA has issued its much-anticipated final guidance on cybersecurity risk management in medical devices, effective June ...
Discover how to protect your business from supply chain attacks. Acquire essential strategies for managing third-party risk and cybersecurity.
Risk 2: Open source code and third-party components While third-party components and open source code offer efficiency advantages for development teams, they introduce risks to medical device software ...
Cybersecurity risk management identifies data and network risks and how to defend against them. Learn best practices for cybersecurity risk management.
The risk management process also requires multiple team viewpoints, including the security team, privacy manager, the fraud management team and the customer service teams. Customer service is likely ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results