We analyze the content of each page you visit

New, local, niche websites? We see them all - no blind spots.

CAS doesn’t rely on domain databases – it performs real-time analysis of the content on every page you visit.


While traditional domain databases cover roughly 80% of the most popular 80% global domains, we analyze the content of every page, regardless of its popularity, type or location.

This enables us to identify threats that other systems miss. Our experience gathering training examples reveals that market-available domain databases offer limited Internet coverage. A significant portion of real traffic - especially on local, niche or new websites - remains unclassified and cannot be effectively filtered. CAS overcomes this challenge by analyzing the actual content of every accessed page instead of depending on pre-built databases.

Try our demo and compare it to competitive products.Consider the following web pages that are either unclassified or misclassified by systems based on domain databases:

Multi-topic pages and dynamic content? We keep up - in real time.

We classify every page – whether its content is static, changes hourly or is created live by users.

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From large multi-topic portals, social media, auctions and marketplaces to forum and blog posts - CAS analyzes each page individually.

Over 70% of today’s Internet traffic involves dynamic content: social media, video platforms, forums, blogs and sites with user comments. In such cases, every page may contain different topics or undesirable user-generated content. Traditional methods based on domain or URL analysis fall short. CAS analyzes the actual content at the moment the page is opened - enabling detection of threats hidden deep within the site’s structure. This capability is essential for protection against harmful content like hate speech or the promotion of risky behaviors.

See how we perform on pages with dynamic content - such as auctions on marketplaces, social media groups or user-commented articles:

Login walls and private pages? We've got it covered.

CAS goes where other solutions can’t - classifying real, user-facing content even behind login walls. While traditional systems only see public information, we can analyze data from closed groups, private forums, corporate chats, and educational platforms.

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A significant portion of traffic that should be blocked or at least monitored happens within closed spaces accessible only after logging in. No system relying solely on domain analysis can classify these effectively. CAS handles this challenge effortlessly.

Interested in seeing CAS in action? Contact us to gain access to a dedicated test environment to analyze real traffic so you can verify the power and accuracy of our classification.

Hidden content? CAS won't miss it

Bypassing filters with Google Translate, redirecting, shortlinks, iframe masking or DNS over HTTPS in your browser? Not with us.

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We classify the actual content of each page - regardless of how it is hidden or masked. CAS is resistant to popular filter-bypassing techniques that traditional domain databases fail to detect.

Traditional solutions often assign general, neutral categories like “REFERENCE,” - ignoring the actual content. However, translated or redirected pages can include graphic, pornographic or other policy-violating material. CAS identifies these risks in real time. Compare the categories your system returns with the results of CAS - consider these translated pages:

A model that truly understands the nuances of the English language, trained on a carefully curated selection of websites

CAS was developed using handpicked pages by our language specialists, enabling it to grasp colloquial language, slang, difficult subjects and cultural nuances.

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Our team of analysts and researchers dedicated months to collecting and classifying thousands of real pages, considering local context, everyday language, youth slang and niche topics like designer drugs, anorexia and cults.

Thanks to this approach, CAS delivers exceptional accuracy - correctly identifying the topic and context of the page even when other systems relying on automatic translation make classification errors. Check if the system you currently use (or plan to purchase) correctly identifies the topics of these example pages:

Supported languages

CAS works natively in English and Polish, and additionally offers simplified versions for 6 more languages. Thanks to our automated adaptation process, launching a test version in each new language takes just 1–2 weeks.


Our native models were built from scratch, with thousands of web pages tagged manually to ensure exceptional accuracy.

By leveraging our language adaptation process a test version for a new language within 1-2 weeks, using machine-translated datasets. This enables quick verification of the model's effectiveness in the new language and highlight areas that require special attention and further refinement.

Using this approach, we’ve built simplified versions for German, French, Spanish, Romanian, Russian and Ukrainian. Upon client request, we can also develop new language models in a slightly longer timeframe (typically up to 3 months) while maintaining performance levels comparable to our Polish and English models.

If you require webpage classification in a currently unsupported language, reach out tu us - we’ll customize a solution to meet your needs.

Cutting-edge precision in website classification – 300 thematic categories

From topic to tone - CAS classifies with contextual and intentional awareness.

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Our system supports 300 precisely defined thematic categories, enabling accurate alignment between the content of a given page and its classification. Promotion of alcoholic beverages, market research on alcohol sales in a specific country, alcohol addiction, alcohol as a disinfectant or chemical compound - CAS effortlessly assigns each to the most appropriate category. Explore its capabilities in our demo

Operator-class scalability

A single CAS instance can support over 100,000 users and up to 6 Gbps of traffic - without the need for expensive graphics processing units (GPUs) or High-Performance Computing hardware.

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Thanks to advanced code optimization and low hardware requirements, CAS ensures high performance even on standard server infrastructure. The system is designed for large-scale deployments and operates seamlessly in geographically distributed environments, supporting multiple locations and time zones simultaneously. The architecture of CAS allows for horizontal scalability - each instance can be assigned to a different traffic source, enabling real-time content filtering on a large scale without performance loss. Ideal for deployment in small businesses, large institutions, telecom operators and educational networks.

The centralized administration console allows for remote management of all CAS instances.

AI that works today - not someday

CAS uses AI to classify websites in real time - instantly, privately, and with decisions made locally

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A purpose-built linguistic algorithm works instantly and delivers page classification in under 100 milliseconds - typically under 30 ms. This enables real-time, local decision-making with zero delays, no database updates and no reliance on external servers. CAS is not only fast and effective, but also secure and fully privacy-compliant.

In contrast, competing solutions rely on AI exclusively in their internal data centers - they periodically classify downloaded domains or subdomains, assign categories and distribute updated databases to clients. There is no AI on the user’s device - only a basic URL comparison against a prebuilt database. This means that such systems are unable to react in real time or recognize the context of a dynamic page being accessed at any given moment.

CAS takes it further - it is an AI that operates where it is needed most: at the interface between the user and the content.

Flexibility

CAS can be easily tailored to the needs of any organization - from large institutions to the specific requirements of IT, compliance or security departments.

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Safescope is an EU company committed to solving real-world challenges for its clients. Depending on your needs, we can:

prepare dedicated classification models that incorporate new thematic categories or contexts relevant to your organization,

adapt the integration to your architecture - if you don't support ICAP or need to adapt the API, we can design custom solutions specifically for you,

develop language models beyond the English language - ensuring comparable effectiveness.

Independence

Both the algorithms and the training data have been developed internally, allowing us to respond quickly to market needs and evolve the product without limitations.

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We do not rely on ready-made components or third-party databases - ensuring our clients full security, operational continuity and complete transparency of the training process.

CAS is developed in the EU and no data is transferred outside the client’s infrastructure, facilitating compliance with security and digital independence requirements. Full control over development and ease of adjustment are among our key strengths.

We are fully independent - free from reliance on external vendors or foreign databases.

Integration

We seamlessly integrate with modern security systems - across both network and application architectures. Integration is swift, flexible and secure - regardless of whether you're using a proxy, UTM/NGFW, SIEM systems or dedicated applications, we can integrate via ICAP or REST API.

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The system operates in two modes:

ICAP (Internet Content Adaptation Protocol) - ideal for inline systems integration (e.g., Squid, Zscaler, FortiProxy), where each web request is forwarded to CAS for content analysis and a real-time decision to: allow, block or redirect.

REST API – perfect for environments where traffic is not decrypted (e.g., mobile apps, log monitoring, SIEM systems, DLP). In this mode, only the URL is sent to CAS - the classification is performed server-side.

CAS can be deployed on-premises, in a private or public cloud, with GDPR compliance and full data control as standard features.

Example use cases:

Replace URL-based classification - for higher accuracy and fewer errors.

Enhance your existing domain database with the analysis of actual page content.

Integrate CAS seamlessly into your environment. No compromises. No risk. No delays.