Security of the data and algorithms and results of artificial intelligence takes new methods. At OODAloop.com Matt Devost provides a framework for improving the security and reducing the risk of problems from your AI deployment in a post titled:
Securing AI – Four Areas to Focus on Right Now
His approach: Build a strategy informed by four key components:
- Secure your AI infrastructure
- Secure the algorithms
- Security the training data
- ID and manage external risks and dependencies
His recommendations also underscore the importance of a strategy to drive results in each of these areas.
This premium OODAloop content was unlocked by Cooley LLP.
 The field has had its ups and downs over the years, we have seen many "AI Winters" come and go. But things are different now. The use of AI is growing dramatically with the proliferation of high powered computers into homes and businesses and especially with the growing power of smartphones and other mobile devices.
 The field has had its ups and downs over the years, we have seen many "AI Winters" come and go. But things are different now. The use of AI is growing dramatically with the proliferation of high powered computers into homes and businesses and especially with the growing power of smartphones and other mobile devices.
