Cybersecurity In-Depth: Feature articles on security strategy, latest trends, and people to know.

Check out our list of emerging firms that are building technology and services to assess the risk posture of AI systems and ML models.

As enterprise use cases of artificial intelligence (AI) grow beyond research edge cases, cybersecurity leaders are increasingly being called to manage a new layer of risk in their technology stack. CISOs need to help their organizations account for new attack vectors, such as adversarial AI attacks like model inversion attacks and data poisoning.But that’s just a slim picture of the risks. Resilience, reliability, and trust issues like model brittleness, AI bias, and explainability are all increasingly important factors to manage.

Additionally, AI further exacerbates software supply chain issues, as open sourced AI models and training data are de rigueur for building these systems. Given the situation, new vendors, advisers, and consultants have a greenfield opportunity to help organizations manage these risks. The following are some of the early contenders in what is sure to be a growing new niche of AI risk and resilience technology and services.

About the Author(s)

Ericka Chickowski, Contributing Writer

Ericka Chickowski specializes in coverage of information technology and business innovation. She has focused on information security for the better part of a decade and regularly writes about the security industry as a contributor to Dark Reading.

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