Addressing AI Risks: Best Practices for Proactive Crisis Management

 

An essential element of effective crisis management is preparing for both visible and hidden risks. A recent report by Riskonnect, a risk management software provider, warns that companies often overlook the potential threats associated with AI. Although AI offers tremendous benefits, it also carries significant risks, especially in cybersecurity, which many organizations are not yet prepared to address. The survey conducted by Riskonnect shows that nearly 80% of companies lack specific plans to mitigate AI risks, despite a high awareness of threats like fraud and data misuse. 

Out of 218 surveyed compliance professionals, 24% identified AI-driven cybersecurity threats—like ransomware, phishing, and deepfakes — as significant risks. An alarming 72% of respondents noted that cybersecurity threats now severely impact their companies, up from 47% the previous year. Despite this, 65% of organizations have no guidelines on AI use for third-party partners, often an entry point for hackers, which increases vulnerability to data breaches. Riskonnect’s report highlights growing concerns about AI ethics, privacy, and security. Hackers are exploiting AI’s rapid evolution, posing ever-greater challenges to companies that are unprepared. 

Although awareness has improved, many companies still lag in adapting their risk management strategies, leaving critical gaps that could lead to unmitigated crises. Internal risks can also impact companies, especially when they use generative AI for content creation. Anthony Miyazaki, a marketing professor, emphasizes that while AI-generated content can be useful, it needs oversight to prevent unintended consequences. For example, companies relying on AI alone for SEO-based content could risk penalties if search engines detect attempts to manipulate rankings. 

Recognizing these risks, some companies are implementing strict internal standards. Dell Technologies, for instance, has established AI governance principles prioritizing transparency and accountability. Dell’s governance model includes appointing a chief AI officer and creating an AI review board that evaluates projects for compliance with its principles. This approach is intended to minimize risk while maximizing the benefits of AI. Empathy First Media, a digital marketing agency, has also taken precautions. It prohibits the use of sensitive client data in generative AI tools and requires all AI-generated content to be reviewed by human editors. Such measures help ensure accuracy and alignment with client expectations, building trust and credibility. 

As AI’s influence grows, companies can no longer afford to overlook the risks associated with its adoption. Riskonnect’s report underscores an urgent need for corporate policies that address AI security, privacy, and ethical considerations. In today’s rapidly changing technological landscape, robust preparations are necessary for protecting companies and stakeholders. Developing proactive, comprehensive AI safeguards is not just a best practice but a critical step in avoiding crises that could damage reputations and financial stability.