Enterprise Artificial Intelligence Adoption and Governance Challenges
The rapid spread of artificial intelligence in the corporate sector is leading IT leaders to spend more time on risk and governance processes, while elements such as shadow AI complicate the process.
According to a new research published by OneTrust and evaluations by industry leaders, the increase in enterprise artificial intelligence adoption rates has increased the working hours spent by senior decision-makers managing AI risks by an average of 26 percent.
Artificial Intelligence Adoption and Increased Working Hours
With the increase in the use of artificial intelligence in companies, IT and security leaders are forced to allocate a very significant portion of their working hours to risk and governance issues. A large portion of senior executives participating in the research state that their daily working hours have lengthened significantly to deal with these issues.
Shadow Artificial Intelligence and Unapproved Tools
In addition to increased awareness, the use of unapproved tools and shadow artificial intelligence also play a major role in the increasing administrative burden. It is stated that employees turn to unauthorized artificial intelligence systems because they cannot quickly access approved tools, which paves the way for various incidents.
Autonomous Agents and Expanding Risk Surface
The creation of other agents by autonomous agents and their rapid detection of security vulnerabilities quickly expand the risk surface in organizations. It is emphasized that with systems gaining autonomy, companies need strong identity controls and continuous monitoring.