Orion security increases 6 million US

Cybersecurity Startup Orion Security Ltd. Would like to help companies defend themselves against sensitive data leaks after collecting 6 million US dollars in a seed financing round announced today.

Instead of relying on manual guidelines and rigid rules, it uses context -related artificial intelligence systems to identify when data is moved by illegal actors. The startup uses KI to try to prevent an increase in the so -called “data exiltration”, which relates to incidents in which important, sensitive information is deliberately or accidentally passed on to malicious actors.

In recent years, data exiltration has been in view of the rise of state-funded hackers and the widespread introduction of generative AI tools that can accidentally spend countless sensitive and personal information if users are not careful.

The data peel for North Korean hackers has become particularly for North Korean hackers. Last December, the US Ministry of Justice felt forced to warn US companies about this growing threat, and said that the country had achieved around $ 88 million of unclear profits in the past six years through theft of sensitive company data.

It is a simple fraud in which North Korean agents appear as independent contractors and try to secure remote jobs with American companies. As soon as you are on board and trust, wipe as much sensitive information as possible and guide your masters in Pyongyang, who then try to make money with it. They generally aim at sensitive customer details that can be sold to hackers or a proprietary source code that you can publish online if the company does not pay a ransom.

However, these malicious frauds are not the only data exfiltration threats. In addition, there is a very real risk that companies accidentally lose sensitive information that has been reinforced by the development of AI chatbots. A few years ago, Samsung Electronics Co. Ltd. Forced to use his Chatgpt staff after discovering one of his workers accidentally sent the internal source code to this chat bot.

Data peaeal can be very expensive. According to a report, the average costs associated with such data injuries are almost 5 million US dollars in the past year.

Traditionally, companies have dependent on manual security guidelines and rules to prevent critical data from being sent to suspicious parties. However, such systems are extremely inflexible and cause many problems, which hinders cooperation. One of the main problems for you is that you lack a business context, which is of essential importance for the identification of risky activities, said Orion co-founder and managing director Nitay Milner.

His company saves with an alternative safety framework that prevents the data from exiling by fits into the systems of a company to learn their normal data routines. By examining the information through an organization, she learns how to differentiate between legitimate business activities and potential risks, e.g. B. an independent contractor who tries to send files to an unknown server.

According to Milner, Orion's platform works by establishing a connection to the cloud services, web browsers and devices of a company before creating a comprehensive map of how information about the organization flows. With this knowledge, the AI ​​engine “indicators for the leakage” are used to analyze proprietary argumentation salgorithms in order to analyze the data movement while flowing across different systems and workers. At the same time, it is based on large -scaling modeling technologies to understand the context of this data movement.

“By using AI for the dismantling and understanding of the operational DNA of a company, we can enable a new generation of data protection that can distinguish between legitimate business flows and potential data theft, without strain on already overloaded security teams,” added Milner.

If the algorithm recognizes something unusual, it can immediately prevent sensitive information from being sent to a suspicious goal, which makes human security teams aware, which can then carry out the corresponding checks. The most important thing is that Orion emphasizes the accuracy of its algorithms, which over time becomes more effective to ensure that security teams are not overwhelmed with false warnings.

Today's round was headed by Pico Venture Partners and FXP and was also the participation of Undercore VC and celebrities in the cybersecurity industry, like the founders of Perimeter 81 Ltd. and Chief Information Security Officer from Elastic NV.

Tal Yatsiv of Pico Venture said that the data protection industry urgently needs solutions that go beyond the basic data lines and develop an understanding of the functioning of companies. “Nita's background in terms of observability and data tracking at EPSAGON offers Orion the perfect basis to not only pursue the data movement, but also to understand the business context,” said Yatsiv.

Image: silicon angle/dreamina