Oxylabs, a global web intelligence and proxy infrastructure provider, has announced the introduction of MASQUE protocol support across its Residential Proxies, enabling native HTTP/3 and QUIC traffic for enterprise web data collection. The company says the upgrade will help organisations process large volumes of public web data more efficiently, particularly as autonomous AI agents and large language model (LLM) applications increasingly depend on continuous access to real-time information.
According to Oxylabs, it is the first provider to introduce native HTTP/3 and QUIC proxying through the IETF’s MASQUE standard on a residential proxy network. The technology uses CONNECT-UDP to carry UDP traffic through proxy infrastructure, allowing QUIC-based connections to operate without being forced through older TCP-based transport mechanisms.
The update targets an important infrastructure challenge for AI developers, data engineering teams and businesses operating automated web intelligence systems. As organisations deploy more AI agents capable of independently gathering and processing online information, the performance and reliability of the network infrastructure supporting those systems become increasingly important.
How MASQUE Improves AI Data Collection
Traditional enterprise proxy networks have largely relied on Transmission Control Protocol (TCP), which underpins HTTP/1.1 and HTTP/2 communications. While TCP provides reliable data transmission, its ordered delivery mechanism can introduce delays when packets are lost, particularly when multiple requests share the same connection.
This problem, known as head-of-line blocking, occurs when missing packets delay subsequent data within the affected TCP connection. For businesses collecting information across millions of web requests, the resulting interruptions can contribute to slower data ingestion and reduced pipeline efficiency.
Oxylabs is addressing these limitations by introducing MASQUE, a family of standards developed by the Internet Engineering Task Force (IETF) for proxying traffic over HTTP and QUIC. Its implementation uses CONNECT-UDP, allowing compatible applications to establish UDP-based connections through the residential proxy network.
Unlike TCP, QUIC supports independent streams, reducing connection-wide interruptions caused by packet loss. It also provides faster connection establishment and connection migration capabilities, which can help maintain sessions when network conditions change.
“As the web transitions to HTTP/3 and agentic AI systems demand continuous, real-time web grounding, legacy TCP proxying is becoming a severe data collection bottleneck. Bringing native MASQUE support to our network ensures enterprise pipelines and AI systems ingest live web data at wire speed without transport stalls,” said Justinas Lapienis, Product Manager at Oxylabs.
Supporting AI Agents and Enterprise Web Intelligence
The introduction of MASQUE support is particularly relevant to organisations building AI agents that need to retrieve and process current information from websites and online services. Unlike applications that rely entirely on previously collected datasets, web-connected AI systems may need to gather fresh information continuously to complete tasks and support decisions.
These requirements are also relevant to e-commerce intelligence, market monitoring, competitive analysis and cybersecurity operations, where data collection infrastructure must handle large request volumes across different network environments.
By supporting QUIC and HTTP/3 connections through its residential proxy infrastructure, Oxylabs aims to reduce transport-related delays and improve the consistency of data ingestion. The company says this will allow developers to build pipelines that take better advantage of modern web protocols instead of relying on connections downgraded to older transport methods.
The announcement does not include independently verified performance benchmarks quantifying latency reductions or throughput improvements. Actual performance will depend on factors including network conditions, application configuration and the capabilities of destination websites.
Security and Compliance for Enterprise Proxy Infrastructure
Oxylabs says its MASQUE implementation also incorporates security measures intended to support enterprise data collection. Connections are authenticated at the gateway using TLS 1.3 before traffic reaches an exit node, while the company maintains know-your-customer (KYC) procedures and continuous network monitoring.
The company states that the upgraded infrastructure continues to operate under its existing GDPR and California Consumer Privacy Act (CCPA) compliance practices. These are company-reported commitments, rather than independent findings that every use of the service automatically satisfies applicable privacy legislation.
For enterprise customers, the combination of modern transport protocols and access controls is intended to support data collection while maintaining oversight of network activity. Organisations using residential proxies remain responsible for ensuring that their collection practices comply with relevant laws, privacy requirements and applicable website policies.
Availability and Integration
MASQUE support is now available through Oxylabs’ Residential Proxies service. According to the company, existing customers can adopt the new functionality without changing their credentials or proxy endpoints, reducing the need for substantial infrastructure modifications.
Oxylabs has also made technical documentation and developer guidance available to support implementation. The upgrade allows compatible applications to use CONNECT-UDP for QUIC-based traffic while continuing to access the company’s existing residential proxy network.
For AI developers and enterprise technology teams, the announcement adds another infrastructure option for building systems that rely on frequent access to public web information. As HTTP/3 adoption continues, support for newer transport protocols may become increasingly relevant to the performance and reliability of web-connected AI applications.
About Oxylabs
Established in 2015, Oxylabs is a web intelligence platform and premium proxy infrastructure provider that helps businesses collect and analyse public web data. The company develops proxy networks and web data collection technologies for organisations working in AI, market intelligence, cybersecurity and enterprise data operations.
Oxylabs reports that it works with numerous Fortune Global 500 companies and has been recognised in the Financial Times FT 1000 ranking of fast-growing European businesses. Its latest MASQUE integration forms part of its efforts to modernise web data infrastructure as internet protocols and AI applications evolve.
