Protect AI, a Seattle-based firm, has just received $35 million in funding to extend its revolutionary platform for safeguarding machine learning code.
Businesses may monitor and secure various parts of their machine learning infrastructure with the help of the company’s software.
Protect AI Helps Regulated Sectors with AI Deployment
Protect AI helps regulated sectors like finance, healthcare, life sciences, energy, government, and technology reduce the dangers brought on by the increasing deployment of AI.
Executives feel pressured to use AI in their product lines as the technology becomes more and more prominent in the business sphere.
The increasing adoption of AI systems, however, raises concerns for companies, and Protect AI CEO Ian Swanson emphasizes the significance of staff members being current with technology.
Only 6% of firms, according to a KPMG survey, have teams specifically tasked with evaluating and implementing risk mitigation methods for generative AI, which shows a lack of readiness for securing AI infrastructure.
Companies of all sizes are subject to an increase in cyberattacks as artificial intelligence becomes more popular.
By 2025, firms will spend $100 billion on cybersecurity services globally, according to a prediction by McKinsey & Co. Cyberattacks on AI systems can have serious repercussions and put code and intellectual property at risk.
The goal of Protect AI is to protect companies from the devastating repercussions of cyber assaults by locating and repairing holes in their machine learning infrastructure.
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Safeguarding the Machine Learning Supply Chain
The company’s core product, AI Radar, is a thorough system for monitoring and safeguarding a company’s machine learning supply chain.
It assists companies in managing and keeping track of a variety of elements, including cloud hardware, platforms, models, data, and operations software.
Regular checks and adjustments are required to ensure top performance and safety, much like periodic automotive maintenance.
By identifying problems in widely used systems like MLflow, Protect AI’s platform has demonstrated its usefulness.
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