The Overlooked Risks Of Poor Data Hygiene In AI-Driven Organizations
HelpNet Security, Thursday, February 6th, 2025
In this Help Net Security interview, Oliver Friedrichs, CEO at Pangea, discusses why strong data hygiene is more important than ever as companies integrate AI into their operations. With AI-driven applications handling sensitive enterprise data, poor access controls and outdated security practices can lead to serious risks.
Friedrichs shares key best practices to mitigate risks, ensure data reliability, and adapt security strategies for the AI landscape.
How do data hygiene practices align with broader cybersecurity strategies?
Enterprises adopting AI face an entirely new set of data and privacy challenges as they combine internal enterprise data with large language models (LLMs). This challenge is critical, as estimates show that we'll see over one million software companies by 2027, many of them leveraging AI, and creating an expansive attack surface that traditional security tools aren't equipped to protect.