Microsoft launches open source tool to prevent AI hacking
Microsoft has announced that it has launched a counterfeit open source tool to try and prevent AI systems being hacked.
In a statement, Microsoft said: “This tool is part of broader efforts at Microsoft to empower engineers to securely develop and deploy AI systems.”
Security professionals are able to set up the project in three specific ways: scanning AI systems for vulnerabilities, logging attacks against AI models, and by pen testing and red teaming AI systems.
Scanning AI systems
Scanning AI systems regularly for vulnerabilities allows businesses to gain an understanding of potential weaknesses in their system’s environment. It also helps in preventing cyber attacks that could severely damage valuable software.
What is pen testing?
Also known as penetration testing, unlike manual testing, pen testing allows for increased system and software security by ensuring that there are no loopholes in it once the testing is complete. The results of tests are also more accurate than those of a manual test, meaning they would be more reliable.
Benefits of using artificial intelligence to prevent cyber attacks
There are several benefits to using artificial intelligence to help stop cyber threats. Firstly, AI can process much larger volumes of data than a human can, meaning that they can pick up any threats earlier and faster. Another advantage is it reduces the likelihood of any errors in a company's cybersecurity software, allowing for security that is more trustworthy.
AI also increases the response and detection times when searching for threats. This also allows threats to be spotted and thwarted more quickly and efficiently than a cybersecurity system not enhanced by AI. Artificial intelligence has the ability to spot multiple threats at once, which increases the wall of security around the software and information that needs to be protected. While securing data is not easy, artificial intelligence can make it easier by taking care of threat prevention as it works with the cybersecurity programme.
Microsoft says that the tool comes with attack algorithms preloaded with developers and security experts being able to use the cmd2 scripting engine built into the tool to carry out the tests.
The company also claims that companies can alternatively create baselines by scanning AI systems using the attack simulations which aims to help measure the company’s progress.
According to Microsoft, several of its partners and government agencies have collaborated with the company to test the tool in their own environments.
HPE Acquires Determined AI to Accelerate ML Training
Determined AI is a four-year-old company, which only brought its product to market in 2020. It specialises in machine learning (ML), with the aim of training AI models quickly and at any scale. HPE will combine Determined AI’s unique software solution with its AI and high-performance computing (HPC) offerings to enable ML engineers to easily implement and train ML models to provide faster and more accurate insights from their data in almost every industry.
“As we enter the Age of Insight, our customers recognise the need to add machine learning to deliver better and faster answers from their data,” said Justin Hotard, senior vice president and general manager, HPC and Mission Critical Solutions (MCS), HPE. “AI-powered technologies will play an increasingly critical role in turning data into readily available, actionable information to fuel this new era. Determined AI’s unique open source platform allows ML engineers to build models faster and deliver business value sooner without having to worry about the underlying infrastructure. I am pleased to welcome the world-class Determined AI team, who share our vision to make AI more accessible for our customers and users, into the HPE family.”
Delivery AI at scale
According to IDC, the accelerated AI server market, which plays an important role in providing targeted capabilities for image and data-intensive training, is expected to grow by 28% each year and reach $18bn by 2024.
The computing power of HPC is also increasingly being used to train and optimise AI models, in addition to combining with AI to augment workloads such as modeling and simulation. Intersect360 Research notes that the HPC market will grow by more than 40%, reaching almost $55bn in revenue by 2024.
“Over the last several years, building AI applications has become extremely compute, data, and communication intensive. By combining with HPE’s industry-leading HPC and AI solutions, we can accelerate our mission to build cutting edge AI applications and significantly expand our customer reach.” said Evan Sparks, CEO of Determined AI.