CISO Panel: How companies/agencies respond to AI Operationally and Defensively
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Presented at Texas Cyber Summit 2023 by
Artificial intelligence (AI) operations refer to the use of AI technologies to automate and optimize business processes, improve decision-making, and enhance customer experiences. Organizations are increasingly adopting AI capabilities, but only 6% of them have been able to operationalize AI, according to a recent global Responsible AI survey by PwC . The survey also found that more than half of the companies are still experimenting and remain uncommitted to major investments in AI capabilities . To mitigate the risks associated with AI, organizations are pursuing strategies to address risks at the application level, such as performance instability and bias in AI decision-making; the business level, such as enterprise or financial risk; and the national level, such as job displacement from automation and misinformation . More than a third of companies (37%) have strategies and policies to tackle AI risk, a stark increase from 2019 (18%) . In terms of offensive and defensive operations, organizations can use AI to detect and prevent cyber attacks. However, there are ethical implications that need to be taken into account when using AI in offensive and defensive operations.” Organizations are increasingly adopting artificial intelligence (AI) capabilities, but only 6% of them have been able to operationalize AI, according to a recent global Responsible AI survey by PwC. The survey also found that more than half of the companies are still experimenting and remain uncommitted to major investments in AI capabilities. To mitigate the risks associated with AI, organizations are pursuing strategies to address risks at the application level, such as performance instability and bias in AI decision-making; the business level, such as enterprise or financial risk; and the national level, such as job displacement from automation and misinformation. More than a third of companies (37%) have strategies and policies to tackle AI risk, a stark increase from 2019 (18%). To ensure that their AI systems are secure and reliable, organizations are using a variety of risk-mitigation measures, starting with ad hoc measures and advancing to a more structured governance process. Larger companies (greater than $1 billion) in particular are significantly more likely to be exploring new use cases for AI (39%), increasing their use of AI (38%), and training employees to use AI (35%). Add to Calendar