Enterprise content production is being revolutionized by generative AI (GenAI) but privacy and security issues are also being brought up.
Workers are providing these services with extremely valuable intellectual property. Any information given outside must remain private, secure, and protected, according to security teams. However, data privacy is just one aspect.
Other reasons to approach GenAI cautiously include model bias, the production of damaging content like deepfakes, and the poisoning of models by malicious input.
Explore this eBook as it focuses on security flaws revealed by GenAI and the three key areas of a GenAI security strategy.
Sponsored by: The Channel Company
