LONDON —

Runecast Options Ltd., a number one cloud-native software safety platform (CNAPP) for virtualized, hybrid and multi-cloud environments, declares the mixing of OpenAI into its Runecast AI Data Automation, or RAIKA.

This integration will improve the extent of element and accuracy in Runecast’s assessments, enabling clients to higher establish potential dangers and take motion to mitigate them sooner.

OpenAI, an AI-research group, has been behind the event and coaching of the newly well-liked ChatGPT language technology mannequin, one in all a number of OpenAI initiatives that makes use of AI in pure language processing duties.

RAIKA already leverages superior pure language processing (NLP) capabilities to interpret an unlimited quantity of data to present automated audits for safety compliance requirements, vulnerabilities (similar to KEVs, CVEs or VMSAs) and know-how vendor greatest practices.

By integrating OpenAI, Runecast might be ready to additional improve these capabilities for offering extra correct and detailed vulnerability assessments and compliance audits – enabling clients to higher establish potential dangers and take the required steps to mitigate them sooner.

“We’ve been researching OpenAI for two years, both to enrich our own AI technology and bring these new capabilities to our customers,” mentioned Aylin Sali, CTO of Runecast. “We are excited to be ushering in these new technological capabilities to our customers in a way that makes the most sense for their security.”

As Runecast is in a position to function fully offline (noteworthy for purchasers in closely regulated industries), one of many key buyer advantages of this integration is sustaining the integrity of their safety. By integrating the OpenAI mannequin into its RAIKA know-how, Runecast will allow clients to make use of all the advantages of OpenAI with out having to fear about any knowledge leaving their management.

“We are excited to integrate OpenAI into our platform, as it will greatly enhance our ability to provide accurate and detailed compliance and vulnerability assessments to our customers,” mentioned Stanimir Markov, CEO of Runecast. “By integrating OpenAI, we are able to enhance our real-time analysis of compliance and vulnerability data, which is particularly beneficial for organizations that need to maintain compliance with different regulations across various tech stacks.”

In brief, the mixing of OpenAI into RAIKA will tremendously improve the extent of element and accuracy in clients’ compliance and vulnerability assessments. It will enable clients to higher establish potential dangers and take the required steps to mitigate them, all whereas sustaining the safety of their knowledge inside their very own environments.

To study extra about how Runecast’s integration of OpenAI can profit your group, contact their gross sales workforce to schedule a demo. Enhance your safety compliance and vulnerability evaluation with the superior capabilities of RAIKA and OpenAI.

This press launch was generated with help from OpenAI’s ChatGPT.

###

Runecast Options Ltd. is a number one world supplier of a patented, AI-driven vulnerability evaluation and cloud-native software safety platform (CNAPP) for IT Safety and Operations groups. Ahead-focused enterprises like Avast, DocuSign, the German Aerospace Middle (DLR) and Merck/MSD depend on Runecast for proactive vulnerability and configuration administration, safety and compliance evaluation, operational effectivity and mission-critical stability. Headquartered in London, U.Ok., Runecast is a Gartner Cool Vendor and has gained Computing awards for Cloud Safety Product of the Yr and Greatest Place to Work in Digital.


What's Your Reaction?

hate hate
0
hate
confused confused
0
confused
fail fail
0
fail
fun fun
0
fun
geeky geeky
0
geeky
love love
0
love
lol lol
0
lol
omg omg
0
omg
win win
0
win
The Obsessed Guy
Hi, I'm The Obsessed Guy and I am passionate about artificial intelligence. I have spent years studying and working in the field, and I am fascinated by the potential of machine learning, deep learning, and natural language processing. I love exploring how these technologies are being used to solve real-world problems and am always eager to learn more. In my spare time, you can find me tinkering with neural networks and reading about the latest AI research.

0 Comments

Your email address will not be published. Required fields are marked *