When generative AI (GenAI) hit the patron market with the discharge of OpenAI’s ChatGPT, customers worldwide flocked to the product and began experimenting with the device’s capabilities throughout industries. The discharge additionally despatched an instantaneous panic by the hearts of knowledge security professionals whose job is to guard organizations from dangers, together with the loss or theft of delicate information — together with personally identifiable data (PII), protected well being data (PHI) and delicate company information and mental property.
Earlier than we bounce into safety mode, we should first ask ourselves: “What’s it we try to guard with GenAI?” I see 3 major goals: 1) delicate company information and mental property, 2) PII, PHI and three) malware, maliciously generated code, and many others.
Conventional enterprise information loss prevention (DLP) instruments (similar to Forta, Symantec, Netscope, Trellix, Microsoft, and many others.) have been round for years, however are costly, cumbersome to implement and require a lot of care and feeding by IT professionals to make them efficient in a company. They provide complete options usually constructed round data-centric and network-centric DLP, which integrates into information sources and screens the community and any egress factors. Consequently, solely massive organizations with loads of assets have the aptitude of deploying legacy DLP instruments.
