Distology has signed a distribution agreement with Snyk covering the UK, DACH and Benelux markets.

The deal gives Distology’s resellers and partners access to Snyk’s AI Security Platform and Agent Security products, as demand rises for tools that address risks in software development and AI-assisted coding.

It also expands Snyk’s reach across Northern Europe through Distology’s channel relationships, with local support and regional coverage included in the agreement.

Security teams are facing a shift in how software is produced. As organisations use AI tools to generate code faster, they are also dealing with more application vulnerabilities and open-source risks that are harder to control if discovered late in the development cycle.

Snyk’s products are designed to move security earlier in the process by helping developers identify and fix issues while writing code, rather than waiting until software is closer to release.

For Distology, the agreement adds application and AI security to a portfolio focused on cyber suppliers and services. It plans to support partners with training, technical assistance and sales support, alongside enablement for services such as implementation, DevOps and consultancy.

Sarah Geary, Chief Commercial Officer at Distology, said the company is seeing stronger demand from organisations that want to embed security earlier in software development.

“We’re seeing growing demand from organisations that need to secure applications earlier in the development process.

“AI is accelerating software development, and customers need a security solution that can keep pace. By bringing Snyk into our portfolio, we’re giving our partners a way to step into that conversation. This isn’t a transactional sale. It’s about helping customers rethink how they build and secure applications from the outset, which opens the door to higher-value services,” said Geary.

Channel Focus

The partnership is part of Snyk’s channel strategy, centred on working with a smaller number of specialist partners that can provide technical and pre-sales support around its products.

Snyk serves more than 4,800 customers globally and has been building its position in application security as AI becomes more embedded in enterprise software development.

Tom Evetts, Vice President Sales and General Manager at Snyk, said many organisations are trying to balance faster software delivery with the need to maintain security oversight.

“Speed of development is important for organisations to maintain their competitive edge,” said Evetts.

“But they know it can’t happen at the expense of security, which is why demand in our space is so strong and why we wanted to appoint a partner we trust to support our channel in the right way.

“We’re very selective about who we partner with. For us, it’s about working with a company that understands the cybersecurity sector and can support partners with technical depth, strong presales and local-language capability,” he added.

Market Demand

The partnership reflects a broader shift in the security market as software supply chains become more complex and AI tools become standard across development teams. That has increased interest in products that help engineering teams address vulnerabilities during coding rather than relying only on later-stage testing.

Distributors and resellers are also looking for areas where they can attach services and consulting work, particularly in segments where customers need support to change internal development and security practices.

The agreement is intended to help partners build offerings around application and AI security rather than simply resell licences.

“This is about giving partners access to areas of the market where they can add real value,” said Geary.

“Application and AI security is clearly one of those.”

Qognetix has been named a Regional Finalist in the UK StartUp Awards 2026, selected from more than 2,100 startup entries nationwide.

The Birmingham-based deep-tech business is also raising GBP £725,000 to expand its team and continue developing what it describes as an execution-layer platform for intelligent systems.

Qognetix is targeting a part of the artificial intelligence stack that receives less attention than model development. It argues that the industry has invested heavily in models and inference, while paying less attention to how intelligent behaviour is executed, monitored, and constrained once systems operate in live settings.

That gap becomes more significant as AI tools move from trials and demonstrations into operational environments, where organisations want clearer oversight of how systems behave. In response, Qognetix is developing infrastructure designed to make intelligent behaviour more controllable, inspectable and reliable after inference.

Funding Push

The current fundraising effort is intended to support hiring, platform development and the next phase of commercial growth. Qognetix has not disclosed investors in the round, but said the money would strengthen both technical development and market readiness.

This positioning sets it apart from many AI startups focused on model performance or application layers. Instead, the business is building software and controls that govern how AI-driven actions are executed once a system is deployed.

That focus comes as businesses and public institutions place greater emphasis on governance, auditability, and the reliability of AI use. In sensitive or operationally demanding settings, the key question is often not whether a model can generate an answer, but whether the resulting behaviour can be observed, limited and traced.

Qognetix is developing its platform for environments where the cost of unpredictable system behaviour is higher. It identifies runtime control, inspectability, bounded behaviour, deployment reliability and governance-oriented execution infrastructure as core areas of work.

Market Debate

The broader AI debate has begun to move in a similar direction. As more systems enter practical deployment, questions around execution and oversight are becoming more prominent for buyers, regulators and operators.

That shift has created room for companies to build infrastructure between the application layer and the raw model layer. These businesses are trying to solve for operational trust rather than model novelty, especially in sectors where decision pathways need to be understood after a system goes live.

Nic Windley, founder and chief executive officer of Qognetix, linked the award recognition to that broader market view.

“It’s encouraging to see early recognition for the direction we’re building in. We believe the next major challenge in AI is not just what a model can infer, but how intelligent behaviour is controlled and deployed in real-world systems,” he said.

Windley said much of the difficulty emerges only when AI moves into production and must operate within practical limits.

“A lot of the conversation around AI still centres on the model itself, but in production settings, the real challenge is often what happens when that intelligence has to operate reliably, safely, and within defined constraints. That is where we think execution-layer infrastructure becomes increasingly important.” 

The UK StartUp Awards were created to recognise newer businesses from around the country. Qognetix’s regional finalist status places it among a group of emerging companies selected from a large national field of entrants.

For Qognetix, the recognition comes as it tries to turn a technical thesis into a commercial business. It is building for a market in which demand for governance and control tools may rise alongside broader adoption of AI systems in live environments.

“We see this as part of a wider shift in the AI market. As deployment becomes more critical, the infrastructure for execution, control, and governance becomes increasingly important. That is the problem space we are building for,” Windley said.

Taboola says DeeperDive has reached nearly 7 million monthly active users, hitting that mark eight months after launch.

DeeperDive is Taboola’s AI question-and-answer product for publisher websites. In the UK, it is already used by titles including The Independent and Reach publications such as the Mirror, the Express, MyLondon and the Manchester Evening News.

The tool is also expanding into six more languages: French, German, Hebrew, Japanese, Korean and Spanish. Publishers joining that expansion include Ouest France, El Nacional and Ynet.

Taboola says politics, sport, finance, entertainment and shopping are the most common topics for user questions. About half of questions submitted through the service relate to news, entertainment and sports information from the previous 24 hours.

Figures provided by Taboola suggest some publishers are seeing adoption rates of as much as 17% among users on sites where the product has been integrated. In other words, roughly one in six visitors is using the feature to ask questions.

Taboola also says DeeperDive is changing how readers move through publisher sites once they enter the AI interface. The company says the likelihood of a user choosing to read an article after entering the system rises to more than 20%, compared with the low single-digit rates that have long characterised article-to-article recirculation across much of the web.

Another part of the pitch to publishers is editorial data. According to Taboola, newsroom teams using the DeeperDive dashboard can review millions of reader questions each month, often more than 10 million, and use that information to guide coverage and homepage decisions.

Publisher push

The launch and rollout come as publishers look for ways to keep readers on their own sites while generative AI products reshape search and discovery habits. For media groups, tools embedded directly into article pages may help retain audience attention and capture more direct signals on reader interests, rather than ceding that interaction to external AI services.

Taboola has long been known for content recommendation and advertising placements on publisher sites. DeeperDive extends that role into AI-driven discovery and gives the company another path into advertising tied to reader interaction on news and media websites.

Taboola says DeeperDive users generate some of the highest advertiser conversion rates across its network, though it did not provide absolute revenue or conversion figures.

Executive view

Chief Executive Officer Adam Singolda outlined the company’s case for why publishers are adopting the product.

“Publishers love DeeperDive because it brings the AI revolution directly into their own environments, enabling readers to ask questions, have conversations, and discover trusted content in entirely new ways,” said Adam Singolda, Chief Executive Officer, Taboola. “In my career, I have never seen users adopt a new product at these levels while generating such strong engagement and advertiser performance.”

He also set out the company’s view of how AI services may develop across the web.

“I believe the AI landscape will ultimately be defined by two models: subscription LLMs and ad supported LLMs. With DeeperDive, we have the opportunity to build the largest ad supported LLM for the open web, free for publishers and free for users. At the same time, we’re creating a powerful new supply opportunity for advertisers and a meaningful new revenue stream for publishers. People want more than answers. They want trusted content and to be part of a community. While direct AI engines are powerful, I will always prefer watching Knicks highlights on my favorite local or sports site or reading travel reviews from a trusted publication when planning a trip with my family. Experiences built around trusted content and community will only grow stronger over time,” said Singolda.

Taboola says its wider network reaches more than 600 million daily active users across publisher and device partners, giving it a broad installed base from which to distribute products such as DeeperDive.