AWS Partners With Superblocks To Bring Secure Vibe Coding To Enterprises

by News Editor

August 4, 2026

Amazon Web Services (AWS) has signed a multi-year partnership with startup Superblocks, bringing AI-powered application development directly into customers’ private cloud environments as enterprises increasingly prioritise security and governance.

The agreement allows organisations using AWS to build applications with Superblocks without sending sensitive data to external AI providers or third-party databases. Instead, applications will run entirely within a company’s AWS infrastructure while integrating with Amazon Bedrock for AI capabilities.

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Bringing Vibe Coding Behind The Firewall

Unlike many AI coding platforms, Superblocks is designed to keep enterprise data inside a customer’s existing cloud environment. Applications will use databases hosted within AWS rather than relying on external services, giving organisations greater control over security, compliance and data management.

The approach also allows IT departments to maintain oversight of AI-generated applications, reducing the risk of unmanaged or “shadow IT” tools appearing across organisations.

A Growing Enterprise AI Strategy

The partnership reflects a broader shift in enterprise AI. Rather than relying on a single model provider, businesses are increasingly adopting multi-model strategies that combine proprietary and open-source AI models while keeping orchestration, security and infrastructure within their existing cloud platforms.

Major cloud providers are positioning themselves at the centre of that ecosystem, offering the infrastructure and management layer while allowing customers to choose the AI models that best fit each use case.

Why It Matters

Although Superblocks remains an early-stage company with around 50 employees, the collaboration represents more than a commercial partnership. It signals growing demand for enterprise AI tools that combine low-code development with private cloud deployment, enabling organisations to adopt AI without compromising data security or regulatory requirements.

The trend could also strengthen AWS’ position in enterprise AI by expanding its ecosystem around Amazon Bedrock and reinforcing the role of cloud providers as the foundation for secure AI application development.

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Copyright Law Struggles To Keep Up With AI Training

by News Editor

August 24, 2026

Courts Are Still Applying Old Copyright Rules To AI

AI companies train models on enormous amounts of published material, including books, articles and academic research. Whether using that content without authors’ permission violates copyright law remains unresolved.

Much of the debate centres on fair use, which allows copyrighted material to be used without permission in certain circumstances. Courts consider factors such as the purpose of the use, how much material was involved and its impact on the original market.

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Anthropic Case Sets An Important Precedent

A major case involving Anthropic and a group of authors provided one of the clearest rulings so far. Judge William Alsup found that using copyrighted books to train AI models was lawful, comparing the process to people reading and studying literature before creating something new.

Anthropic was nevertheless ordered to pay $1.5 billion in a settlement. The penalty concerned books the company had obtained from illegal online libraries rather than the AI training itself.

For AI companies, that distinction could prove significant because it separates studying copyrighted material from directly copying it.

Competition Could Be The Key Issue

A case involving Thomson Reuters and Ross Intelligence offers a different perspective. A court ruled that Ross could not claim fair use after using Reuters’ copyrighted material to develop a competing AI-powered legal research platform.

The decision suggests courts may be less willing to consider AI training fair use when copyrighted content is used to build a product that directly competes with the original.

For authors, an unresolved question is whether AI-generated content should be considered competition for the works used to train these models.

The Law Has Yet To Catch Up

US copyright law predates generative AI by decades, leaving courts to apply old principles to new technology. Questions also remain over copyright protection for AI-generated works. In Thaler v. Perlmutter, a court ruled that material created entirely by AI cannot receive copyright protection.

Major AI companies remain involved in copyright litigation, and different courts could reach different conclusions. For now, there is no universal rule: the legality of AI training will depend on the circumstances of each case and how courts ultimately interpret copyright and fair use.

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