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Protect AI Raises $35 Million to Safeguard Machine Learning Code

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Brad Anderson


Seattle-based startup Protect AI has recently secured $35 million in funding to expand its groundbreaking platform that protects machine learning code. The company’s software aids businesses in monitoring and safeguarding various components of their machine learning infrastructure. Protect AI primarily focuses on regulated industries such as finance, healthcare, life sciences, energy, government, and technology, helping them mitigate the risks associated with rapid AI adoption.

As the popularity of AI grows in the business world, executives feel compelled to incorporate it into their product lines. However, the rapid adoption of AI systems poses risks for businesses, and Protect AI CEO Ian Swanson stresses the importance of employees keeping up with the technology. A study by KPMG revealed that only 6% of organizations have dedicated teams to evaluate and implement risk mitigation strategies for generative AI, leading to a lack of readiness in protecting AI infrastructure.

With artificial intelligence becoming increasingly prevalent, companies of all sizes face growing cyber attacks. McKinsey and Co. predicts that global spending on cybersecurity services by businesses will reach $100 billion by 2025. Cyber attacks on AI systems can have severe consequences, putting intellectual property and code at risk. Protect AI’s mission is to shield businesses from the catastrophic effects of cyber attacks by identifying and fixing flaws in their machine learning infrastructure.

Protect AI’s flagship product, AI Radar, is a comprehensive system that monitors and protects an organization’s machine learning supply chain. It helps businesses manage and keep track of various components, including operations software, platforms, models, data, services, and cloud hardware. Similar to the routine upkeep of a car, regular inspections and adjustments are necessary to ensure peak efficiency and safety.

The effectiveness of Protect AI’s platform has been proven through its discovery of flaws in widely used platforms such as MLflow. By promptly disclosing its findings, Protect AI compelled MLflow to release a patch for the identified security hole. This real-world scenario emphasizes the importance of monitoring AI systems and implementing preventative measures.

Competing in the rapidly developing field of AI cybersecurity, Protect AI faces stiff competition from well-funded startups like Hidden Layer, Robust Intelligence, and CalypsoAI. However, Protect AI stands out by providing businesses with a comprehensive approach to AI protection, covering the entire machine learning supply chain.

Protect AI’s success is attributed to its talented team, led by CEO Ian Swanson, a seasoned entrepreneur with extensive experience in technology and AI. The company’s funding round was led by Evolution Equity Partners, with participation from existing investors and Salesforce Ventures, raising a total of $35 million. This significant investment positions Protect AI to continue its mission of safeguarding AI and ML software.

As AI becomes increasingly prevalent in the business world, the need for protecting AI and machine learning code from cyber threats becomes paramount. Protect AI’s platform offers a novel approach to address this need, ensuring the security and integrity of AI technologies as they become more important in regulated industries and beyond. With its recent funding, Protect AI is well-equipped to continue its mission of protecting AI systems and assisting businesses in maintaining robust defense against cyber attacks.

First reported on GeekWire

Frequently Asked Questions

What is Protect AI?

Protect AI is a cyber security startup based in Seattle, focused on providing a groundbreaking platform to protect machine learning code. Their software helps businesses monitor and safeguard various components of their machine learning infrastructure.

What industries does Protect AI primarily serve?

Protect AI primarily caters to regulated industries, including finance, healthcare, life sciences, energy, government, and technology. These sectors often face unique risks associated with rapid adoption of AI technologies.

Why is protecting AI infrastructure crucial for businesses?

The rapid adoption of AI poses risks for businesses, making it vital to protect AI infrastructure. Cyber attacks on AI systems can lead to severe consequences, putting intellectual property and code at risk.

What is the significance of the recently secured $35 million funding?

The $35 million funding allows Protect AI to expand its platform and continue its mission of safeguarding AI and ML software. With increased resources, the company can provide comprehensive protection for businesses in a rapidly evolving cybersecurity landscape.

How does Protect AI’s AI Radar work?

AI Radar, Protect AI’s flagship product, is a comprehensive system that monitors and protects an organization’s machine learning supply chain. It helps businesses manage and keep track of various components, ensuring peak efficiency and safety, much like the routine upkeep of a car.

What real-world impact has Protect AI demonstrated?

Protect AI has proven the effectiveness of its platform by discovering flaws in widely used platforms like MLflow. The company’s prompt disclosure of these findings led to the release of patches, emphasizing the importance of monitoring AI systems and implementing preventative measures.

How does Protect AI differentiate itself from competitors?

Protect AI stands out in the competitive AI cybersecurity field by offering businesses a comprehensive approach to AI protection. The company covers the entire machine learning supply chain, empowering businesses with robust defense against cyber attacks.

Who leads Protect AI?

Protect AI is led by CEO Ian Swanson, a seasoned entrepreneur with extensive experience in both technology and artificial intelligence. His leadership and expertise have contributed to the success and growth of the company.

What future developments can we expect from Protect AI?

With the recent funding, Protect AI is well-equipped to continue its mission of safeguarding AI systems. As AI becomes more prevalent in the business world, the company is likely to advance its platform to address emerging cyber threats and protect the integrity of AI technologies.

How can businesses benefit from Protect AI’s platform?

By leveraging Protect AI’s platform, businesses can ensure the security and integrity of their AI and machine learning code. The comprehensive protection offered by Protect AI enables businesses to mitigate the risks associated with cyber attacks and adopt AI technologies with confidence.

Featured Image Credit: Unsplash

Brad Anderson

Editor In Chief at ReadWrite

Brad is the editor overseeing contributed content at ReadWrite.com. He previously worked as an editor at PayPal and Crunchbase. You can reach him at brad at readwrite.com.

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Fintech Kennek raises $12.5M seed round to digitize lending

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Google eyed for $2 billion Anthropic deal after major Amazon play


London-based fintech startup Kennek has raised $12.5 million in seed funding to expand its lending operating system.

According to an Oct. 10 tech.eu report, the round was led by HV Capital and included participation from Dutch Founders Fund, AlbionVC, FFVC, Plug & Play Ventures, and Syndicate One. Kennek offers software-as-a-service tools to help non-bank lenders streamline their operations using open banking, open finance, and payments.

The platform aims to automate time-consuming manual tasks and consolidate fragmented data to simplify lending. Xavier De Pauw, founder of Kennek said:

“Until kennek, lenders had to devote countless hours to menial operational tasks and deal with jumbled and hard-coded data – which makes every other part of lending a headache. As former lenders ourselves, we lived and breathed these frustrations, and built kennek to make them a thing of the past.”

The company said the latest funding round was oversubscribed and closed quickly despite the challenging fundraising environment. The new capital will be used to expand Kennek’s engineering team and strengthen its market position in the UK while exploring expansion into other European markets. Barbod Namini, Partner at lead investor HV Capital, commented on the investment:

“Kennek has developed an ambitious and genuinely unique proposition which we think can be the foundation of the entire alternative lending space. […] It is a complicated market and a solution that brings together all information and stakeholders onto a single platform is highly compelling for both lenders & the ecosystem as a whole.”

The fintech lending space has grown rapidly in recent years, but many lenders still rely on legacy systems and manual processes that limit efficiency and scalability. Kennek aims to leverage open banking and data integration to provide lenders with a more streamlined, automated lending experience.

The seed funding will allow the London-based startup to continue developing its platform and expanding its team to meet demand from non-bank lenders looking to digitize operations. Kennek’s focus on the UK and Europe also comes amid rising adoption of open banking and open finance in the regions.

Featured Image Credit: Photo from Kennek.io; Thank you!

Radek Zielinski

Radek Zielinski is an experienced technology and financial journalist with a passion for cybersecurity and futurology.

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Fortune 500’s race for generative AI breakthroughs

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Deanna Ritchie


As excitement around generative AI grows, Fortune 500 companies, including Goldman Sachs, are carefully examining the possible applications of this technology. A recent survey of U.S. executives indicated that 60% believe generative AI will substantially impact their businesses in the long term. However, they anticipate a one to two-year timeframe before implementing their initial solutions. This optimism stems from the potential of generative AI to revolutionize various aspects of businesses, from enhancing customer experiences to optimizing internal processes. In the short term, companies will likely focus on pilot projects and experimentation, gradually integrating generative AI into their operations as they witness its positive influence on efficiency and profitability.

Goldman Sachs’ Cautious Approach to Implementing Generative AI

In a recent interview, Goldman Sachs CIO Marco Argenti revealed that the firm has not yet implemented any generative AI use cases. Instead, the company focuses on experimentation and setting high standards before adopting the technology. Argenti recognized the desire for outcomes in areas like developer and operational efficiency but emphasized ensuring precision before putting experimental AI use cases into production.

According to Argenti, striking the right balance between driving innovation and maintaining accuracy is crucial for successfully integrating generative AI within the firm. Goldman Sachs intends to continue exploring this emerging technology’s potential benefits and applications while diligently assessing risks to ensure it meets the company’s stringent quality standards.

One possible application for Goldman Sachs is in software development, where the company has observed a 20-40% productivity increase during its trials. The goal is for 1,000 developers to utilize generative AI tools by year’s end. However, Argenti emphasized that a well-defined expectation of return on investment is necessary before fully integrating generative AI into production.

To achieve this, the company plans to implement a systematic and strategic approach to adopting generative AI, ensuring that it complements and enhances the skills of its developers. Additionally, Goldman Sachs intends to evaluate the long-term impact of generative AI on their software development processes and the overall quality of the applications being developed.

Goldman Sachs’ approach to AI implementation goes beyond merely executing models. The firm has created a platform encompassing technical, legal, and compliance assessments to filter out improper content and keep track of all interactions. This comprehensive system ensures seamless integration of artificial intelligence in operations while adhering to regulatory standards and maintaining client confidentiality. Moreover, the platform continuously improves and adapts its algorithms, allowing Goldman Sachs to stay at the forefront of technology and offer its clients the most efficient and secure services.

Featured Image Credit: Photo by Google DeepMind; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

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UK seizes web3 opportunity simplifying crypto regulations

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Deanna Ritchie


As Web3 companies increasingly consider leaving the United States due to regulatory ambiguity, the United Kingdom must simplify its cryptocurrency regulations to attract these businesses. The conservative think tank Policy Exchange recently released a report detailing ten suggestions for improving Web3 regulation in the country. Among the recommendations are reducing liability for token holders in decentralized autonomous organizations (DAOs) and encouraging the Financial Conduct Authority (FCA) to adopt alternative Know Your Customer (KYC) methodologies, such as digital identities and blockchain analytics tools. These suggestions aim to position the UK as a hub for Web3 innovation and attract blockchain-based businesses looking for a more conducive regulatory environment.

Streamlining Cryptocurrency Regulations for Innovation

To make it easier for emerging Web3 companies to navigate existing legal frameworks and contribute to the UK’s digital economy growth, the government must streamline cryptocurrency regulations and adopt forward-looking approaches. By making the regulatory landscape clear and straightforward, the UK can create an environment that fosters innovation, growth, and competitiveness in the global fintech industry.

The Policy Exchange report also recommends not weakening self-hosted wallets or treating proof-of-stake (PoS) services as financial services. This approach aims to protect the fundamental principles of decentralization and user autonomy while strongly emphasizing security and regulatory compliance. By doing so, the UK can nurture an environment that encourages innovation and the continued growth of blockchain technology.

Despite recent strict measures by UK authorities, such as His Majesty’s Treasury and the FCA, toward the digital assets sector, the proposed changes in the Policy Exchange report strive to make the UK a more attractive location for Web3 enterprises. By adopting these suggestions, the UK can demonstrate its commitment to fostering innovation in the rapidly evolving blockchain and cryptocurrency industries while ensuring a robust and transparent regulatory environment.

The ongoing uncertainty surrounding cryptocurrency regulations in various countries has prompted Web3 companies to explore alternative jurisdictions with more precise legal frameworks. As the United States grapples with regulatory ambiguity, the United Kingdom can position itself as a hub for Web3 innovation by simplifying and streamlining its cryptocurrency regulations.

Featured Image Credit: Photo by Jonathan Borba; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

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