
Reflectiz is a web exposure management platform that helps organizations identify, monitor, and mitigate security, privacy, and compliance risks across their online environments. It provides full visibility and control over first, third, and fourth-party components like scripts, trackers, and open-source libraries that traditional security tools often miss.
What sets Reflectiz apart is its ability to operate remotely, without the need to embed code on customer websites. This ensures there’s no impact on site performance, no access to sensitive user data, and no additional attack surface. The platform continuously monitors all external components, providing real-time insights into the behaviors of third-party applications, trackers, and scripts that could introduce risks. By mapping your entire digital supply chain, Reflectiz uncovers hidden vulnerabilities that traditional security tools may overlook.
Reflectiz offers a centralized dashboard that enables businesses to gain a comprehensive, real-time view of their web assets. It allows teams to define baselines for approved and unapproved behaviors, swiftly identifying deviations and potential threats. With Reflectiz, businesses can mitigate risks before they escalate, ensuring proactive security management.
The platform is especially valuable for industries like eCommerce, finance, and healthcare, where managing third-party risks is a top priority. Reflectiz provides continuous monitoring and detailed insights into external components without requiring any modifications to website code, helping businesses ensure security, maintain compliance, and reduce attack surfaces.
By offering deep visibility and control over external components, Reflectiz empowers organizations to safeguard their digital presence against evolving cyber threats, keeping security, privacy, and compliance top of mind.
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Eurekos is the customer training LMS built to educate the world outside your organization – partners, distributors, resellers and the networks beyond. Most companies spend years perfecting their product or service, then hand customers a repurposed employee training course and hope for the best. When those customers churn, the product gets the blame. Usually, the training is the problem.
Eurekos fixes that. We help you turn training from a cost into a growth engine. The ability to sell courses, accreditations and learning paths directly through the platform doesn’t just help retain business. It transforms customer education into a revenue stream.
The same thinking runs through the entire platform – in how Saga AI adapts every learning journey to the individual, in how training portals can be customized to different customers and regions, and in how we work with you long after you go live.
Eurekos covers the entire customer journey – from pre-sales through onboarding to ongoing training, with everything you need to run a world-class external training operation. Certifications, eCommerce, unlimited branded portals, built-in content authoring and ISO/IEC 27001 & 27701-certified security.
Eurekos Product Features:
• Saga AI
• Learning Journeys & Adaptive Paths
• Built-in Course Authoring
• Certification & Accreditation
• Security & Compliance
• Unlimited Branded Portals
• eCommerce
• Mobile Learning
• Global Reach
• Integrations & API
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Devstral Small 2
Devstral Small 2 is a condensed, 24 billion-parameter variant of Mistral AI's groundbreaking coding-focused models, made available under the adaptable Apache 2.0 license to support both local use and API access. Alongside its more extensive sibling, Devstral 2, it offers "agentic coding" capabilities tailored for low-computational environments, featuring a substantial 256K-token context window that enables it to understand and alter entire codebases with ease. With a performance score nearing 68.0% on the widely recognized SWE-Bench Verified code-generation benchmark, Devstral Small 2 distinguishes itself within the realm of open-weight models that are much larger. Its compact structure and efficient design allow it to function effectively on a single GPU or even in CPU-only setups, making it an excellent option for developers, small teams, or hobbyists who may lack access to extensive data-center facilities. Moreover, despite being smaller, Devstral Small 2 retains critical functionalities found in its larger counterparts, such as the capability to reason through multiple files and adeptly manage dependencies, ensuring that users enjoy substantial coding support. This combination of efficiency and high performance positions it as an indispensable asset for the coding community. Additionally, its user-friendly approach ensures that both novice and experienced programmers can leverage its capabilities without significant barriers.
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DeepSWE
DeepSWE represents a groundbreaking advancement in open-source coding agents, harnessing the Qwen3-32B foundation model trained exclusively through reinforcement learning (RL) without the aid of supervised fine-tuning or proprietary model distillation. Developed using rLLM, which is Agentica's open-source RL framework tailored for language-driven agents, DeepSWE functions effectively within a simulated development environment provided by the R2E-Gym framework. This setup equips it with a range of tools, such as a file editor, search functions, shell execution, and submission capabilities, allowing the agent to adeptly navigate extensive codebases, modify multiple files, compile code, execute tests, and iteratively generate patches or fulfill intricate engineering tasks. In addition to mere code generation, DeepSWE exhibits sophisticated emergent behaviors; when confronted with bugs or feature requests, it engages in critical reasoning regarding edge cases, searches for existing tests in the codebase, proposes patches, creates additional tests to avert regressions, and adapts its cognitive strategies based on the specific challenges presented. This remarkable adaptability and efficiency position DeepSWE as a formidable asset in the software development landscape, empowering developers to tackle complex projects with greater ease and confidence. Its ability to learn from each interaction further enhances its performance, ensuring continuous improvement over time.
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