The details of OpenAI’s ChatGPT integrated into cybersecurity products are discussed in this section
In the past few months, several cybersecurity businesses have disclosed that they began using ChatGPT in Cybersecurity or plan to do so, and some researchers have discovered practical applications for the chatbot.
One of the first companies to announce that ChatGPT is Integrated into Cybersecurity Products, specifically GPT-3, company Orca. The objective is to enhance the cloud security risk remediation procedures offered to customers.
Armo, a Kubernetes security company, has incorporated ChatGPT’s generative AI into its platform to make it simpler for users to create OPA-based security policies.
An OpenAI’s ChatGPT integration for the LogPoint SOAR (security orchestration, automation, and response) solution in a lab setting was recently announced by Logpoint.
AlertEnterprise, a software company that specializes in cyber-physical security convergence, has launched a ChatGPT-powered chatbot. Information on physical access, identity access management, visitor management, door reader analytics, Cybersecurity products, and safety reporting can all be quickly accessed by users. The chatbot allows users to inquire about things like “how many badges for new employees did we issue last month?” or “Show me when employee training for restricted area access expires.”
Accenture Security has been looking into ChatGPT’s ability to automate some tasks related to cyber defense.
Coro and Trellix, two cybersecurity companies, are also looking into incorporating ChatGPT into their products.
The outcomes of tests that were carried out with ChatGPT by some members of the cybersecurity community have been made public. HackerSploit, a training provider, demonstrated, for instance, how to use it for penetration testing and software vulnerability detection.
Some experiments on the detection of indicator of compromise (IoC) were carried out by a Kaspersky researcher, and some of the results were promising. The tests looked for IoCs in systems, code obfuscation, and comparing signature-based rule sets with ChatGPT output to find gaps, and similarities between malware binaries.
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