InfoSecBulletin Cybersecurity for mankind
In response to the increasing prevalence of ChatGPT and the associated risks of data leaks, ExtraHop has launched Reveal(x), a cutting-edge solution that offers organizations visibility into their network devices and users connecting to OpenAI domains.
The popularity of ChatGPT has skyrocketed, with 1 billion customers reached in a mere 2 months, surpassing the growth rate of platforms like TikTok, which took eight years to achieve the same milestone.
Multiple Azure DevOps Vulns Allow To Inject CRLF Queries & Rebind DNS
Intel holds 22 employees from one Bangladeshi University
VPN Surge 1500% in USA after TikTok Shut Down
MITRE Launches D3FEND 1.0; The Milestone for Cybersecurity Ontology
AWS Patches Multiple Vulns in WorkSpaces, AppStream 2.0
Malware Trends Review 2024: Ever Recorded Cyber Threats
Botnet Exploits 13,000 MikroTik Devices Abusing Misconfigured DNS
CVE-2024-9042
Code Execution Vulnerability Found in Kubernetes Windows Nodes
Hacker leaked 15k config files and VPN passwords of FortiGate firewall device
Registration open for 1st Agile Cyber Drill 2025
A recent survey conducted by Gartner in 2023 revealed that 9 out of 10 respondents plan to implement ChatGPT within their organizations by 2025, showcasing its widespread adoption.
While ChatGPT has the potential to accelerate organizational progress, deploying AI-as-a-Service (AIaaS) tools within organizations also introduces Intellectual Property risks.
Numerous instances of data leaks associated with ChatGPT have been reported, particularly when users share proprietary information during code reviews, research, or any form of discovery. The confidential data becomes vulnerable as ChatGPT stores it in public domains and utilizes the information to respond to other user queries.
Reveal(x) emerges as the solution to safeguard against these risks, empowering organizations to gain visibility into the devices and users connected to OpenAI domains within their networks. This enables organizations to exercise greater control over their data when implementing AI language models and generative AI tools.
This information becomes pivotal for organizations to assess the volume of data transmitted to OpenAI domains and evaluate the associated risks of utilizing AI services. Security personnel can then validate acceptable risk thresholds and minimize potential Intellectual Property losses.
Technical Analysis
Reveal(x) leverages network packets as its primary data source for real-time detection and monitoring. By stripping the content and payload sent from OSI layers 2-7 (DataLink Layer to Application Layer), it provides comprehensive data visibility.
While rules, regulations, and policies surrounding data storage and usage by AI exist, it remains crucial for organizations to understand the intricacies of utilizing these services effectively.
ExtraHop emphasizes that despite the data exposure risks, the productivity benefits of AI tools outweigh them. However, organizations must possess a clear understanding of how their data will be used, including data retention periods, and implement robust policies governing the usage of these services. Tools like Reveal(x) are instrumental in assessing policy compliance and identifying risks in real-time.
The full extent of an AI’s capabilities and the associated data exposure risks remain uncertain, emphasizing the need for organizations to remain vigilant in protecting their data assets.
