Part 13/15:
CTE tools enable real-time monitoring of vulnerabilities, allowing organizations to protect sensitive data effectively. While these systems improve cybersecurity, they can be resource-intensive to manage. High adoption rates are seen in finance, healthcare, and government sectors.
17. AI Trust, Risk, and Security Management (AI Trism)
AI Trism frameworks focus on building ethical AI systems while addressing risks such as bias and privacy. Ensuring fairness and accountability in complex AI algorithms will be increasingly important as adoption grows, particularly in industries like healthcare and finance.