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Home » Endor Labs Details Results of Using AI, ChatGPT to Detect Malware
Cybersecurity Minute

Endor Labs Details Results of Using AI, ChatGPT to Detect Malware

Chris HughesBy Chris HughesJune 30, 2023Updated:June 30, 20232 Mins Read
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Acceleration Economy Cybersecurity

In episode 105 of the Cybersecurity Minute, Chris Hughes gives an overview of an Endor Labs report on the intersection of artificial intelligence (AI) and cybersecurity. Endor Labs is on the Acceleration Economy Cybersecurity Top 10 Shortlist.

This episode is sponsored by “Selling to the New Executive Buying Committee,” an Acceleration Economy Course designed to help vendors, partners, and buyers understand the shifting sands of how mid-market and enterprise CXOs are making purchase decisions to modernize technology.

Highlights

00:39 — Recently, Endor Labs used large language models (LLMs) and ChatGPT-3.5 to take a look at malware reviews. There’s a lot of interest in how malicious actors could use AI for criminal purposes. Endor is looking at the flipside, asking: “How can we leverage AI to augment human activity from a defensive perspective to mitigate risks?”

Which companies are the most important vendors in cybersecurity? Check out
the Acceleration Economy Cybersecurity
Top 10 Shortlist
.

01:03 — Endor used ChatGPT-3.5 to perform malware reviews on various software packages and code snippets. Out of 1,800 artifacts examined in the study, 34 were classified as malicious. Of those, 13 were true positives (malicious), and 15 were false positives, wrongly classified as malicious by ChatGPT.

02:00 — These findings emphasize that AI and LLMs are not impervious to evasion or manipulation. But it’s the same for humans and other tools we use in cybersecurity. The study also demonstrates that defenders can think about use cases for leveraging AI and LLMs. A tool like this can reduce the time it takes to identify and analyze packages.

Insights into Why & How to Recover from a Cybersecurity Breach
Guidebook: Cybersecurity Breach and Recovery Response

02:39 — AI and LLMs are not perfect. There are obviously challenges. But it’s great to see vendors in the ecosystem starting to apply it to their activities and doing some research showing how it can be done.


for more cybersecurity insights, visit the cybersecurity channel

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Analystuser

Chris Hughes

CEO and Co-Founder
Aquia

Areas of Expertise
  • Cloud
  • Cybersecurity
  • LinkedIn

Chris Hughes is a Cloud Wars Analyst focusing on the critical intersection of cloud technology and cybersecurity. As co-founder and CEO of Aquia, Chris draws on nearly 20 years of IT and cybersecurity experience across both public and private sectors, including service with the U.S. Air Force and leadership roles within FedRAMP. In addition to his work in the field, Chris is an adjunct professor in cybersecurity and actively contributes to industry groups like the Cloud Security Alliance. His expertise and certifications in cloud security for AWS and Azure help organizations navigate secure cloud migrations and transformations.

  Contact Chris Hughes ...

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