Contemporary organizations must protect their internal knowledge from a growing number of threats. Instances of security and data breaches—which can involve both gaining unauthorized access and extracting (stealing) data from the organization—result in costly fines, ligation, regulatory penalties, loss of reputation, and churn.

Users must remain vigilant about both deliberate and inadvertent forms of security breaches. Examples of the former include cyberattacks such as malware and ransomware; the latter involves phishing attempts, toxic combinations of information, and inappropriate data-sharing with partners, suppliers, or customers.

Finally, the growing use of intelligent chatbots, large language models (LLMs), and AI-infused agents means organizations must also remain wary of the free versions, which appropriate proprietary knowledge to train the underlying language models, resulting in a devastating loss of competitive advantage.

Read more about Securing Your Internal Knowledge Amidst Shadow AI | KMWorld