This includes conversations and metadata used to create custom GPTs. Enterprises can now easily identify potential data exposure risks, monitor access to GPTs to avoid overly permissive sharing of sensitive data, and drive better security hygiene by educating end users.
According to OpenAI CEO Sam Altman100 million weekly users flock to ChatGPT. Experts in generating text, images, and codes, many workers use it to optimize their workflows.
However, many companies are increasingly concerned about what kind of data is shared with the model in case it reveals proprietary information or even code used to build defenses.
This integration addresses this issue by enabling customers to identify sensitive data shared in prompts, responses, and files across their ChatGPT Enterprise workspaces and create policies to flag potential risks in near real-time.
Privacy Issues Related to Property
This development comes at a time when the cybersecurity landscape is rapidly evolving, with new threats emerging daily.
Palo Alto Networks’ announcement reflects a broader trend in the cybersecurity industry, where companies are increasingly turning to AI-powered solutions to stay ahead of threats.
For example, BlackBerry recently launched Cylance Assistant, a Gen AI cybersecurity advisor built on its Cylance AI platform and using Amazon Web Services’ Gen AI service, Amazon Bedrock.
Cylance Assistant, like the Palo Alto Networks integration, aims to accelerate organizations’ use of AI, but in a way that can keep data secure.
These developments in AI-based cybersecurity solutions come at a critical time.
According to Dell Technologies“According to the 2023 Global Data Protection Index report, 90% of organizations experienced some form of IT disruption in the last year, and 55% of them reported that the initial entry point for cyberattacks was external.
The report also highlights the dual nature of Gen X AI in cybersecurity. While 52% of companies believe Gen X AI is a cybersecurity advantage, 88% see it as both a defensive asset and a source of complexity.
The adoption of next-generation AI, while enhancing the value of specific data types, introduces challenges, including the generation of large volumes of new data that require protection and security measures.
As organizations continue to address evolving cyber threats and the complexities introduced by AI adoption, these integrations and tools will play a crucial role in maintaining robust security postures.
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