To perfect AI enterprise service chain Amazon acquires AI Startups

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To perfect AI enterprise service chain Amazon acquires AI startup company from Baidu VR

Recently, according to insiders, Amazon’s AWS division has quietly acquired artificial intelligence startup harvest.ai for US$19 million, and Amazon has not publicly disclosed the acquisition. Considering that the harvest.ai seed round financing only raised 2.3 million US dollars, this is still a good deal. The 12 employees of the harvest.ai team are moving to the Seattle headquarters in Amazon.

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Harvest.ai is located in San Diego, USA. There are two former NSA employees in the founding team. The company uses machine learning and artificial intelligence to analyze user behavior on the company's critical IP to identify and stop targeted attacks before critical customer data can be refreshed.

At present, neither Amazon nor harvist.ai have made any comments. However, according to a number of foreign media commentaries, there are already many signs that the acquisition is underway or has been completed: For example, Trinity Ventures, the main seed investor of harvest.ai, recorded on the portfolio page that the company has been “acquired”. But did not specify the subject; another investor.ai another investor, Kelly Perdew of Los Angeles Moonshots Capital also listed on the company's LinkedIn page the company's "unlisted acquisition"; several former, hareest.ai software development engineers have been They are listed as AWS employees on their LinkedIn page and they have been working on AWS since April 2016.

Harvest.ai The patent-pending flagship AI product is called MACIE Analytics. It uses AI to monitor in real time when and how the customer’s intellectual property is accessed, assess who is viewing, copying or moving specific documents, and when they do so. In order to identify suspicious behavior patterns and mark potential data leakage behavior before it occurs. It uses this service as a way to combat the risk of internal attacks.

Harvest.ai wrote on its official website: “MACIE can automatically identify the business risks of data exposed or shared outside the organization and repair it based on almost real-time policies. MACIE integrates with the cloud and internal systems, checks login patterns, remotely. Network access, access to data and documents to discover attacks, and preparation of a comprehensive solution for further review."

As for how Amazon uses harvest.ai on AWS, there are the following directions.

The first is Amazon's own security service features. AWS has provided embedded security features and tools for users of its cloud service platform. Although third parties provide security services for cloud services, Amazon has also entered this area because it is crucial for customers to be able to lock in their critical business assets.

In addition, security services are more like an arms race and need to be constantly upgraded to respond to changing threats. Therefore, Amazon's acquisition of harvest.ai may also be due to the fact that its AI technology can continuously strengthen its security service capabilities. Amazon CTO Werner Vogels described security as one of the five pillars of each service built for customers. For example, last fall, Amazon announced the launch of Amazon Inspector: Analyze customer AWS instance services, report any security or compliance issues, and generate vulnerability reports. More sophisticated AI-based threat alert services, such as the user behavior monitoring system of harvest.ai, can be incorporated into the AWS platform itself, or sold as a stand-alone service, in a similar fashion.

From a broader AI perspective, this also includes Amazon's profitability direction. Although both Alexa and Amazon Echo are rapidly becoming household names, Amazon also has more layouts for AWS enterprise services in terms of AI development projects. Last November, Amazon launched the Amazon AI platform to make more money from the home AI intelligence industry by exposing different services to the outside world. The first three products launched were image recognition, text-to-speech conversion and speech recognition. The acquisition of harvest.ai will improve the AI ​​enterprise service chain.

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