Friday, November 22, 2024
HomeChatGPTReveal(x) - New Tool to Defend Against ChatGPT Data Leaks

Reveal(x) – New Tool to Defend Against ChatGPT Data Leaks

Published on

ExtraHop released a new tool called “Reveal(x)” that helps organizations understand their potential risk exposure from employee use of OpenAI ChatGPT by providing visibility into the devices and users on their networks connecting to OpenAI domains.

ChatGPT has become highly familiar due to its potential usage in every organization.

It only took 2 months for ChatGPT to reach 1 billion customers, whereas tik tok took eight years.

- Advertisement - SIEM as a Service

A survey taken by Gartner in 2023 revealed that 9 out of 10 respondents chose ChatGPT implementation in their organization by 2025.

Though it has a very high capacity that can help organizations speed up their progress, there are still Intellectual Property risks in using AIaaS tools inside organizations.

Recently, there have been many data leaks associated with ChatGPT. Users using ChatGPT for code reviews or any discovery or research share proprietary information with ChatGPT, which puts confidential data at risk.

In addition, ChatGPT stores the data in public domains and uses this information to answer other user requests. 

ChatGPT is an AI-as-a-Service (AIaaS) that can be widely used in productivity, software development, and research.

Reveal(x) – Data Protection from Rogue AI Use and Accidental Misuse

To overcome this risk, experts at ExtraHop have released Reveal(x), which will show the visibility of the devices and users inside the network that are connected to OpenAI domains.

This can help organizations to implement AI language models and generative AI tools with a lot of control over their data.

This information is crucial for organizations to identify the amount of data sent to OpenAI domains, which can help assess the risk linked with using AI services.

Security Personnel can validate the range of acceptable risks and decrease potential Intellectual Property loss. 

Technical Analysis

Reveal(x) uses network packets as a primary data source for monitoring and analysis during real-time detection.

Reveal(x) can provide this deep visibility and real-time detection because we use network packets as the primary data source for monitoring and analysis, Extrahop said.

It strips the content and payload sent from OSI layers 2-7 (DataLink Layer to Application Layer) for complete data visibility.

Though there have been several rules, regulations, and policies on how AI must store and use data, it is still essential for organizations to understand how to use these services.

ExtraHop Stated that “ExtraHop believes the productivity benefits of these tools outweigh the data exposure risks, provided organizations understand how these services will use their data (and how long they’ll retain it), and provided organizations not only implement policies governing the use of these services but also have a control like Reveal(x) in place that allows them to assess policy compliance and spot risks in real-time.

It is still undetermined how far an AI can go based on its capabilities and the risks it poses to data exposure. 

Shut Down Phishing Attacks with Device Posture Security – Download Free E-Book

Balaji
Balaji
BALAJI is an Ex-Security Researcher (Threat Research Labs) at Comodo Cybersecurity. Editor-in-Chief & Co-Founder - Cyber Security News & GBHackers On Security.

Latest articles

240+ Domains Used By PhaaS Platform ONNX Seized by Microsoft

Microsoft's Digital Crimes Unit (DCU) has disrupted a significant phishing-as-a-service (PhaaS) operation run by...

Russian TAG-110 Hacked 60+ Users With HTML Loaded & Python Backdoor

The Russian threat group TAG-110, linked to BlueDelta (APT28), is actively targeting organizations in...

Earth Kasha Upgraded Their Arsenal With New Tactics To Attack Organizations

Earth Kasha, a threat actor linked to APT10, has expanded its targeting scope to...

Raspberry Robin Employs TOR Network For C2 Servers Communication

Raspberry Robin, a stealthy malware discovered in 2021, leverages advanced obfuscation techniques to evade...

Free Webinar

Protect Websites & APIs from Malware Attack

Malware targeting customer-facing websites and API applications poses significant risks, including compliance violations, defacements, and even blacklisting.

Join us for an insightful webinar featuring Vivek Gopalan, VP of Products at Indusface, as he shares effective strategies for safeguarding websites and APIs against malware.

Discussion points

Scan DOM, internal links, and JavaScript libraries for hidden malware.
Detect website defacements in real time.
Protect your brand by monitoring for potential blacklisting.
Prevent malware from infiltrating your server and cloud infrastructure.

More like this

Earth Kasha Upgraded Their Arsenal With New Tactics To Attack Organizations

Earth Kasha, a threat actor linked to APT10, has expanded its targeting scope to...

145,000 ICS Systems, Thousands of HMIs Exposed to Cyber Attacks

Critical infrastructure, the lifeblood of modern society, is under increasing threat as a new...

Two PyPi Malicious Package Mimic ChatGPT & Claude Steals Developers Data

Two malicious Python packages masquerading as tools for interacting with popular AI models ChatGPT...