Security tools for AI Investments platform
Coordinated by
7bulls
Secured AI Investments platform using the outcome of the BIECO project.
Description
Describe the innovation content of the result:
The key innovation products will be:
Security tools for AI Investments platform using the outcome of the BIECO project.
Who will be the customer?
The customers are hedge funds, proprietary trading companies, mutual funds.
What benefit will it bring to the customers?
The AI Investments platform will be secured using the outcome of the BIECO project.
When is the expected date of achievement in the project (Mth/yr)?
At the end of the project.
When is the time to market (Mth/yr)?
At the end of the project.
What are the costs to be incurred after the project and before exploitation?
It is estimated at 10 – 20 kEUR.
What is the approximate price range of this result/price of licences?
AI Investments it depends on AuM of the investments fund, it is 1% of management fee of AuM and 10% of success fee.
What are the market size in Millions € for this result and relevant trend?
It is assumed that in the 1st year of implementation the value of funds will amount to EUR 20M and within 5 years – EUR 100M.
How will this result rank against competing products in terms of price/performance?
To our knowledge, there is no similar platform on the European market. Almost all of the successful quant funds are based outside of Europe, so our solution will be very innovative in Europe.
Who are the competitors for this result?
Advanced quant funds that use complex investing methods.
How fast and in what ways will the competition respond to this result?
Unknown at the moment
Who are the partners involved in the result?
AI Investments platform – 7bulls.com partnership with AI Investments company.
Who are the industrial partners interested in the result (partners, sponsors, etc.)?
Hedge funds, investments funds, mutual funds, proprietary trading companies.
Have you protected or will you protect this result? How? When?
IP rights for source code are reserved. The AI Investments source code will not be available publically.
Other results
Vulnerabilities Forecasting Tool
The Vulnerabilities Forecasting Tool (VFT) provides historical vulnerability data and projections for time intervals of 1, 2, 3, 6, and 12 months for several major software components.
Failure Prediction Tool
The Failure Prediction Tool (FPT) performs failure predictions by monitoring the logs of the applications that make up a system. It has a REST interface through which it receives in real time the log messages from the monitored applications.
safeTbox
The pre-existing tool safeTbox (www.safetbox.de) has been extended to support interoperation with the ResilBlockly tool for combined safety and security analysis.
Conditional Safety Certificates for ICT
Conditional Safety Certificates (ConSerts) have been applied to support resiliency of ICT infrastructures. Support for deployment and execution of ConSerts in ICT infrastructure according to use case needs was provided additionally.
SafeML based reliability assessment
In earlier work, a statistical distance-based measure (SafeML) is proposed for machine learning components. In BIECO project, we propose extension of it with the use of Statistical Distance Dissimilarity across time series to obtain SDD based reliability and robustness estimate (StadRE and StadRO).
