Search results for Ycode

Kuntur finds the AI tools installed on your company's endpoints: AI desktop apps, AI coding agents and CLIs (Claude Code, Codex, Gemini CLI, Cursor), MCP servers, browser and IDE AI extensions, local models (Ollama, LM Studio) and exposed AI API keys, on Windows, macOS and Linux, including WSL and containers. Security and IT teams mark each tool approved or unauthorized and get findings, alerts and an audit log. The agent is read-only and sends metadata only: it never blocks or uninstalls anything. Free for up to 5 endpoints, public self-serve pricing, 14-day trial without a credit card.

Hublink is a link-in-bio and micro-site builder — a Linktree alternative with real file and PDF hosting. Create one branded page for your links, files, videos, galleries, menus and contact forms, share it with a downloadable QR code, and track visits with built-in analytics. AI can draft the whole page from a description of your business, generate backgrounds and logos in the editor, and (on paid plans) answer visitor questions from your page and documents. Includes one-click Linktree import, QR code menus for restaurants, team workspaces for agencies, live chat with LINE alerts, and PromptPay support for Thailand. Free plan available.

The Responsible Business Alliance is the world's largest industry coalition dedicated to promoting responsible business conduct in global supply chains. Established in 2004 by leading electronics companies, the RBA has expanded to include members from various sectors such as retail, automotive, and toy industries. The alliance is committed to supporting the rights and well-being of workers and communities worldwide affected by global supply chains. Members adhere to a common Code of Conduct and utilize a range of training and assessment tools to drive continuous improvement in social, environmental, and ethical responsibilities. Key Features and Functionality: - Code of Conduct: A comprehensive set of standards outlining expectations for labor, health and safety, environmental practices, ethics, and management systems. - Validated Assessment Program : An independent, third-party audit process that evaluates compliance with the RBA Code of Conduct, helping companies identify and address areas for improvement. - RBA-Online: An online sustainability data management system designed to help companies manage and share sustainability data, including audit results and self-assessment questionnaires. - e-Learning Academy: Offers over 60 training modules covering various topics in supply chain sustainability, allowing learners to progress at their own pace. - Initiatives: Specialized programs such as the Responsible Minerals Initiative, Responsible Labor Initiative, Responsible Factory Initiative, and Responsible Environment Initiative, each addressing specific challenges within supply chains. Primary Value and Solutions Provided: The RBA addresses critical issues in global supply chains by providing a unified framework and resources for companies to improve their social, environmental, and ethical practices. By adhering to the RBA Code of Conduct and utilizing its tools and initiatives, member companies can: - Enhance Supply Chain Transparency: Implement standardized assessments and reporting mechanisms to gain better visibility into supply chain operations. - Mitigate Risks: Identify and address potential risks related to labor practices, environmental impact, and ethical conduct, thereby reducing the likelihood of reputational damage and regulatory penalties. - Drive Continuous Improvement: Access training and development resources to build internal capabilities and foster a culture of continuous improvement in corporate social responsibility. - Foster Collaboration: Engage with a network of industry peers, stakeholders, and experts to share best practices and collectively address systemic challenges in global supply chains. By joining the RBA, companies demonstrate a commitment to responsible business conduct, contributing to the creation of sustainable value for workers, the environment, and businesses throughout the global supply chain.

Exam Master 3.0 Exam Master 3.0 is a web-based assessment platform developed by Zen-Tech Solutions. It is designed to host timed, multiple-choice examinations while implementing a multi-layered security suite to ensure academic integrity. Core Functionality. The application manages the end-to-end examination process through a structured user flow: Authentication & Session Control: Requires student identification (Name and Roll Number). It includes a 90-minute cooldown period per user/roll number to prevent immediate retakes. Assessment Structure: Supports categorized question banks (e.g., Easy, Medium, Hard) with a dynamic navigation palette and section-based tracking. Live Monitoring: Features a persistent countdown timer, real-time status updates (Answered, Marked for Review, Not Visited), and an automated submission protocol upon time expiration.Anti-Cheat & Security Mechanisms. The software employs an "Eagle Eye AI" monitoring system and several programmatic deterrents to prevent unauthorized assistance and data exfiltration. 1. Environmental Restrictions Forced Fullscreen: The exam requires fullscreen mode to operate. Leaving this mode triggers a violation warning.Input Blocking: The system disables right-clicking, text selection, copying ($Ctrl+C$), pasting ($Ctrl+V$), and printing ($Ctrl+P$ or Print Screen).Focus Monitoring: Using the visibilitychange and blur APIs, the software detects when a student switches tabs or clicks into a different application. 2. Advanced Technical DeterrentsDevTools Detection: The system continuously monitors the ratio between the browser's outer and inner window dimensions. A significant discrepancy—often caused by opening the Inspect Element or Console sidebars—triggers an immediate termination.Shortcut Interception: It monitors keydown events to block and penalize the use of:F12 and Ctrl+Shift+I/J/C (Developer Tools).Ctrl+U (Viewing source code).Escape (Attempting to exit the controlled environment). 3. Violation Tier SystemThe security engine differentiates between minor and critical infractions:Three-Strike Rule: Minor actions like tab switching or accidental window blurring result in up to two warnings. A third occurrence leads to an automatic "Cheating Detected" submission.Immediate Termination: High-severity actions, such as attempting to access the source code or developer console, result in the instant termination of the exam without prior warnings.Data Handling The platform utilizes localStorage for client-side session persistence and uses an internal state machine to track questionStates. This ensures that student progress is maintained throughout the session until the final encrypted submission or a security-triggered exit occurs.

Pie is the world's fastest autonomous QA platform. We don't just "assist" with testing; we take it over. While traditional tools force you to write and maintain brittle scripts, Pie deploys autonomous AI agents that think and test like your actual users. Simply upload your web or mobile app, and our agents achieve 80% end-to-end coverage in 30 minutes flat. Why Teams Switch Over to Pie: ● Speed: 80% E2E coverage in 30 minutes, not weeks. Most teams see results before their first coffee break. ● Zero Maintenance: UI changes don't break tests. Pie's self-healing AI adapts to layout shifts, color changes, and DOM restructuring automatically. ● No Scripts, Ever: Teams write tests in plain English, or Pie generates them automatically. No Selenium. No Appium. No xpath nightmares at 2am. ● Vision-Based Testing: Computer vision + semantic understanding = tests that work like actual users. Pie sees what users see, not what's buried in code. ● Comprehensive Coverage: Pie hunts for edge cases beyond happy paths — popups, network timeouts, rapid interactions, form injections — scenarios teams never thought to script. ● AI Safety Net: As Cursor and Copilot ship code faster, Pie catches the bugs they introduce before hitting production. Every deployment. Automatically. ● Human-Verified: Every flagged issue is reviewed by in-house QA experts. No false positives. No alert fatigue. ● Enterprise-Ready: SOC 2 Type 2 certified. Zero source code access. Pie only sees what users see. Stop gambling on releases. Ship 5x faster with the only QA platform that moves as fast as you do. Customer Impact: Teams using Pie immediately see: ● 5x faster release cycles — from monthly to weekly or daily ● QA teams freed from maintenance — experts now focus on strategy ● Zero regression bugs — comprehensive coverage catches what humans miss ● Confidence in AI code — bugs caught before they ship One customer cut release cycles from 2 weeks to 2 days. Another replaced their entire test suite and hasn't written a test since.

Pathway is a high-performance Python ETL framework designed to simplify the complexities of stream processing, real-time analytics, and Large Language Model (LLM) orchestration. It bridges the gap between the ease of Python development and the rigorous performance requirements of production-grade data streaming. Whether you are building Retrieval-Augmented Generation (RAG) systems that require live data updates or developing event-driven analytics pipelines, Pathway allows you to write code once and deploy it across batch and streaming environments. By leveraging a powerful Rust-based engine, it handles the heavy lifting of distributed computation while you stay focused on your logic using standard Python libraries. Key Features: - High-Performance Rust Engine: While you write in Python, Pathway executes your code using a scalable Rust engine based on Differential Dataflow. This architecture enables multithreading and multiprocessing, allowing you to bypass typical Python performance bottlenecks and outperform traditional JVM-based streaming tools. - Unified Batch and Stream Processing: You can use the exact same code for local development, CI/CD testing, batch jobs, and live data streams. This "write once, run anywhere" approach eliminates the need to maintain separate codebases for different data velocities. - Dedicated LLM & RAG Tooling: Pathway includes built-in wrappers for common LLM services, parsers, and embedders. Its in-memory real-time Vector Index allows you to build RAG pipelines that react instantly to changes in your source documents without manual re-indexing. - 300+ Seamless Integrations: Beyond native connectors for Kafka, PostgreSQL, and GDrive, Pathway integrates with Airbyte to provide access to over 300 data sources. This ensures you can ingest data from virtually any enterprise silo into your real-time pipeline. - Intelligent Consistency & Persistence: Pathway automatically manages late or out-of-order data points by updating results incrementally. With built-in persistence, your pipelines can recover their state after updates or system crashes, ensuring data integrity without manual intervention. Primary Value and Solutions: Pathway redefines how developers approach live data by removing the friction between data engineering and machine learning. By combining the accessibility of Python with the raw power of a Rust-driven engine, it enables you to build sophisticated, reactive systems that stay synchronized with your data in real-time. As your data needs evolve from static batch processing to intelligent, live AI pipelines, Pathway provides the robust foundation necessary to scale with confidence.

AppScreener is a comprehensive static application security testing (SAST) tool developed by Solar Security. It analyzes source code and binary executables across 36 programming languages to identify security vulnerabilities, backdoors, and undocumented features. Utilizing proprietary Fuzzy Logic Engine technology, AppScreener minimizes false positives while detecting issues such as SQL injection, cross-site scripting (XSS), and hardcoded credentials. The platform offers unique binary static analysis capabilities, including code reconstruction from executables like mobile apps from Google Play and App Store links. It also provides software composition analysis (SCA) for third-party dependencies, integrates with CI/CD pipelines and issue tracking systems like Jira, and delivers flexible reporting aligned with standards such as PCI-DSS, OWASP, HIPAA, and CWE. This enables security teams and developers to strengthen application security throughout the software development lifecycle. Key Features and Functionality: - Comprehensive Code Analysis: AppScreener performs thorough analysis of application source code, bytecode, or binaries to detect security vulnerabilities, including common issues like SQL injection, cross-site scripting (XSS), and buffer overflows. - Multi-Language Support: It supports a wide range of programming languages and platforms, making it suitable for diverse development environments. This includes languages such as Java, C#, C++, PHP, Python, and many others. - Detailed Reporting: The tool generates detailed reports highlighting identified vulnerabilities, their severity, and recommendations for remediation. These reports help developers understand and address security issues effectively. - Integration Capabilities: AppScreener can integrate with various development tools and continuous integration/continuous deployment (CI/CD) pipelines. This allows for automated security testing as part of the development workflow, promoting early detection and resolution of security issues. Primary Value and User Solutions: AppScreener enhances software security by identifying vulnerabilities and undocumented features in applications, supporting 36 programming languages and various executable file formats. It provides detailed vulnerability reports and recommendations for fixes, integrating with common development tools and platforms like Git, Jenkins, SonarQube, and Jira. This facilitates its incorporation into Secure Software Development Lifecycles (SDLC), making it particularly useful for analyzing legacy and custom software. By automating security testing and providing comprehensive analysis, AppScreener helps developers and security teams improve the security posture of their applications efficiently.

Obsigen AI is a European enterprise-grade artificial intelligence agent designed to operationalize advanced language models across sectors such as cybersecurity, e-commerce, and manufacturing. It transforms natural-language requests into auditable, outcome-oriented executions, ranging from analysis and decision support to report and presentation generation. Built for organizational scale, Obsigen supports Retrieval-Augmented Generation (RAG) for grounded answers on internal knowledge and can be adapted through fine-tuning and domain specialization to align with specific terminologies, procedures, and risk postures. The platform emphasizes traceability, governance, and performance, enabling teams to plan faster, respond more precisely, and continuously improve operational efficiency within the European Economic Area. Key Features and Functionality: - Multi-Agent Orchestration: Utilizes up to 100 parallel agents, including solvers, critics, researchers, and testers, to enhance coverage, robustness, and reliability. - Execution Engine: Employs seven execution strategies, selecting the optimal approach for each query by performing intent classification, complexity estimation, and risk–cost–latency profiling. - Tool Registry: Integrates 25 built-in tools for real execution, including: - WebSearchTool: Conducts multi-source searches with crawling and context extraction. - FileAnalysisTool: Parses and analyzes PDFs, Office documents, and images. - CodeExecutionTool: Executes secure Python code in isolated Docker containers. - ImageGenerationTool: Creates visual assets and diagrams. - PptDocumentBuilderTool: Generates professional PowerPoint presentations automatically. - Vision Capabilities: Reads and understands documents as a human would, extracting structure from PDFs, images, and dashboards, with capabilities such as: - Understanding charts, tables, and forms beyond mere transcription. - Maintaining context across multi-page documents. - Performing quality control on still frames and live video. - Private Web Search: Conducts private meta-searches by default, ensuring queries remain within the European Economic Area without exposure to third-party trackers. Primary Value and Solutions Provided: Obsigen AI addresses the need for enterprises to efficiently plan, execute, and deliver outcomes by automating analysis, planning, and execution tasks across departments. Its structured reasoning and multi-agent verification reduce blind spots, leading to better decision-making. The platform accelerates the creation of reports, presentations, summaries, and action plans, enhancing speed to deliverables. By operating within the European Economic Area, Obsigen simplifies compliance with data residency and transfer requirements, ensuring that data remains secure and within regulatory boundaries.

RateZit is a Google review growth and reputation management platform designed to help local businesses collect customer feedback, improve their online reputation, and strengthen their digital presence. Using customizable QR codes, RateZit makes it easy for customers to share their experiences. Customers scan a QR code to access a mobile-friendly feedback page without downloading an app or creating an account. Satisfied customers can visit the business's Google review page, while customers with concerns can submit private feedback directly to management. **Key Features of RateZit** • **Google Review Collection:** Simplify access to your Google Business Profile and encourage customers to leave authentic reviews. • **Reputation Management:** Monitor customer feedback, identify service issues, and improve your online reputation. • **QR Code Review Collection:** Create branded QR codes for tables, counters, receipts, reception desks, and other customer touchpoints. • **Customer Feedback Management:** Collect actionable insights to improve service quality and customer satisfaction. • **Local SEO Support:** Build a consistent review collection strategy that complements Google Business Profile optimization and local SEO efforts. • **Multi-Location Management:** Organize feedback collection across multiple branches and monitor customer satisfaction trends. • **Email and SMS Notifications:** Receive alerts about customer feedback through supported notification channels. **Built for Local Businesses** RateZit supports restaurants, cafes, hotels, salons, spas, dental clinics, gyms, retail stores, automotive workshops, and home service providers. Whether you manage one location or multiple branches, RateZit helps simplify customer feedback and review collection. **Why Choose RateZit?** Google reviews influence customer trust and purchasing decisions. RateZit connects in-person customer experiences with digital feedback through a simple QR-powered platform. By making feedback accessible and helping businesses understand customer concerns, RateZit supports stronger customer relationships and more effective reputation management. Google Maps rankings depend on several factors, including relevance, distance, and prominence. RateZit complements broader local SEO efforts by helping businesses establish a consistent process for collecting genuine customer reviews. Use RateZit to streamline Google review collection, manage customer feedback, and build a stronger online reputation.

GraphDev is a comprehensive toolkit designed to enhance the GraphQL development experience by providing advanced debugging, testing, and collaboration tools. It integrates an AI assistant with schema-awareness, enabling developers to generate queries, discover types, and receive accurate insights about their schemas. The platform ensures that the assistant remains synchronized with the latest schema changes through scheduled introspections. GraphDev also offers features like shareable request snapshots, team collaboration capabilities, intelligent code suggestions, and organized collections to streamline workflows. By addressing common challenges in GraphQL development, GraphDev empowers teams to build robust and efficient applications. Key Features and Functionality: - Schema-Aware AI Assistant: Provides intelligent, schema-informed assistance for query generation and type discovery. - Real-Time Schema Synchronization: Automatically updates the assistant with the latest schema changes through scheduled introspections. - Shareable Request Snapshots: Allows creation of shareable links containing both request and response data for easy debugging and collaboration. - Team Collaboration: Facilitates seamless sharing of interactive requests among team members, enhancing collaborative development efforts. - Intelligent Code Suggestions: Offers smart intellisense powered by the schema, providing hints and auto-completions during query writing. - Organized Collections: Enables grouping of requests into collections to organize workflows and projects effectively. - Web-Based Access: Allows viewing and managing requests directly in the browser, ensuring accessibility and ease of use. - Environment Variables Support: Simplifies setup by utilizing environment variables, reducing the need for manual token management. - CORS Issue Resolution: Employs a desktop agent to proxy requests, effectively mitigating Cross-Origin Resource Sharing (CORS) issues. - Automated Data Management: Provides options to schedule data removal, ensuring efficient data handling and compliance. Primary Value and Problem Solved: GraphDev addresses the complexities inherent in GraphQL development by offering a suite of tools that enhance productivity, collaboration, and code quality. Its schema-aware AI assistant and real-time synchronization ensure developers have accurate and up-to-date information, reducing errors and development time. The platform's collaborative features, such as shareable request snapshots and team sharing capabilities, streamline debugging and testing processes. By integrating intelligent code suggestions and organized collections, GraphDev simplifies query writing and project management, ultimately enabling development teams to build more robust and efficient GraphQL applications.

Deta Surf is an open-source AI-powered notebook designed to seamlessly integrate various digital content—including PDFs, YouTube videos, websites, and images—into a unified workspace. By leveraging advanced AI capabilities, Surf enables users to write, explore, plan, reflect, and think across their growing collection of information, all while maintaining a local-first data storage approach to ensure privacy and control. Key Features and Functionality: - Multi-Media Library & Notebooks: Store and organize a wide range of media types, such as local files, web links, YouTube videos, and more, into personalized notebooks. This library is built on the Surf Flat File System (SFFS), which stores data in open and transparent formats. - Smart Notes with AI Integration: Generate notes by referencing any tab, website, or resource within your library. Surf's AI utilizes these references to produce rich notes with citations that link directly to specific pages in PDFs, timestamps in videos, or sections on webpages. - Web Search Integration: Conduct research without leaving your notebook by triggering web searches within your notes. The results are integrated seamlessly, complete with citations to the original sources. - Surflets (Code-Free Apps): Create interactive visualizations, charts, games, or tools directly within your notes without writing code. These mini applications can store data locally and are saved as HTML files on your device. - Flexible AI Model Support: Surf supports multiple large language models, including GPT-4o and Claude variants, allowing users to choose the AI that best fits their needs. Users can bring their own API keys or run local models, providing flexibility and control over AI interactions. Primary Value and User Solutions: Deta Surf addresses the challenge of managing and synthesizing information from diverse digital sources. By consolidating various media types into a single, intelligent workspace, Surf enhances productivity and cognitive processes. Its AI-driven features reduce the manual effort involved in organizing, summarizing, and connecting information, allowing users to focus on deeper understanding and creative thinking. Additionally, Surf's commitment to privacy through local data storage and open-source development ensures that users maintain control over their data and can customize the platform to their preferences.

Abliteration.ai is an LLM provider built for high-risk industries: cybersecurity, AI red teaming, trust and safety, synthetic data generation, healthcare research, and defense and government workflows. Access is through OpenAI- and Anthropic-compatible APIs, so existing code migrates with a one-line base-URL change. Most LLM providers tune their models for consumer chat, so they refuse exactly the prompts that professional teams need to run. A security engineer reproducing a CVE, a trust and safety analyst labeling coded harassment, an ML team generating jailbreak examples for an eval set: all of them hit the same wall. Abliteration.ai removes that wall by serving models with refusal behavior reduced through abliteration, while putting governance in your hands instead of the provider's. How it works: The core of the service is a chat completions API compatible with both the OpenAI and Anthropic formats. Point the OpenAI or Anthropic SDK, LangChain, LlamaIndex, or the Vercel AI SDK at the Abliteration.ai base URL and your existing code runs unchanged. The API supports streaming, image input (PNG, JPEG, WEBP, GIF up to 15 MB), document and image extraction, and an optional web search add-on billed per thousand searches. On top of inference sits the Policy Gateway. You write rules per project that decide which request categories are allowed, which are rewritten, which are refused, and what must be logged. Scoped API keys enforce those rules per workload, and every allow, rewrite, and refusal carries a reason code. Audit logs can stream into your SIEM, so compliance and governance reviewers get the paper trail they ask for. Shadow mode lets you test policy changes against live traffic before enforcing them, and per-user and per-project token quotas keep spend predictable. Privacy is configurable down to zero data retention: prompts and responses are processed in memory and discarded, never stored and never used for training. Pricing starts with a free tier for testing. After that, usage is pay-per-token with prepaid top-ups ($20, $100, $500, or custom amounts) that never expire, or monthly plans at $20, $50, and $200 with usage discounts of 2.5%, 5%, and 10%. Enterprise plans add dedicated throughput, custom routing, and volume pricing.

plaingateway is an LLM API gateway: one key and one OpenAI-compatible API for every major model, billed at the provider's list price with 0% fee on credits. It uses the OpenRouter API, so you switch by changing the base URL. Own keys are free. What it is In November 2026, one key reaches 26 models from 10 providers, including Anthropic, OpenAI, DeepSeek, Z.ai and MoonshotAI. How it works The API matches OpenRouter: the same paths, request fields, response shapes, model ids and errors. You switch by changing the base URL and the key. The chat completions, completions, messages and responses endpoints are all served, so OpenAI-compatible and Anthropic-compatible clients both connect. Each model has one pinned host. The X-PG-Host header names the host on every response. Every response also carries its cost, in the body and in a header. Who it is for Coding-agent users point Claude Code, Cline, Kilo Code, OpenCode or Codex CLI at the new base URL. Chat and roleplay users paste it into SillyTavern or JanitorAI. App builders change one setting in the OpenAI or Anthropic SDK. Anyone can invite others and earn from it. Data and safety We do not store prompts or answers, and we do not train on them. We keep a record of each request, without its content, for 7 days. The host that serves a request keeps data under its own policy. Each model page names the host, so you know who sees the prompt. Pricing Inference is billed at the provider's list price. OpenRouter also bills list price. Its cost is a fee when you buy credits: 5.5% on Standard and 8% on Business. Our Free plan runs on your own provider keys, with 0% fee, no cap and no card. Our Standard plan is prepaid credits with 0% fee on credits. The smallest top-up is $5, and a first top-up of $5 or more gets a $5 bonus. On paid plans, your own keys carry no fee up to $25,000 of list-price inference a month. Above that, the fee is 2% of list. The provider's rate limits pass through, with no plan limit on top. Invites Invite one account that funds $5 or more, and you pay 10% below list for 12 months. Invite three, and you pay 20% below list. You also earn 2% of each invited account's top-ups for 12 months.

Ambisafe smart contract reviews help to ensure the stability of your project. It is important to identify problems before deploying your code. Do not underestimate how crucial this is. Once your code is on the main network, you can not modify it. Luckily, our Solidity team excels at finding and fixing Smart Contract issues. Our team’s lead-software architect Oleksii Matiiasevych, helped to save millions of dollars from hackers in July 2017. There is no team better qualified to review your smart contracts. Avoid errors that could risk your project and company. Demonstrate your commitment to security and quality with our smart contract review and stamp of approval.

LaunchFast is founding infrastructure for web products. It gives you a correct, production-ready codebase and AI guardrails that keep development correct as you build. A TypeScript Remix template with session-based authentication, Stripe payments with webhook handling, transactional email via Resend, SEO meta tags, GA4 analytics with ecommerce tracking, rate limiting, CSRF protection, and deployment to Fly.io. All wired together and tested. Plus a CLI that initializes your project correctly and AI guardrails (.cursorrules, CLAUDE.md) that constrain AI coding assistants to produce code that matches your architecture. One-time payment of €199. No recurring fees.

MergeShield governs AI-generated code before it ships. It connects to GitHub and automatically analyzes every pull request from AI coding agents like Copilot, Cursor, Claude Code, and Devin - scoring risk across six dimensions in under 30 seconds. MergeShield tracks agent trust over time, auto-merges low-risk PRs from trusted agents, and holds high-risk changes for human review. Features include agent detection and trust scoring, configurable auto-merge rules, approval workflows with escalation, custom risk policies per repository, a GitHub Action for CI pipelines, real-time analytics dashboard, and a REST API with HMAC-signed webhooks.

AppGenie is an AI software factory that lets non-technical founders and SMB teams ship real web and native mobile apps by describing them in plain English, pasting a prompt, or speaking out loud. A multi-agent pipeline classifies intent, plans architecture, generates React Native code, and validates output — producing a codebase you own, with live preview, version history, and diff-aware patching for iteration. Unlike single-LLM builders that produce brittle scaffolding, AppGenie uses six specialized agents so each step is purpose-built. The result: you go from description to a deployable, exportable app — not a demo, not a prototype.

HUMAN Malvertising Defense is a behavioral malvertising prevention solution that safeguards publishers, platforms, and their audiences from attacks executed through the digital advertising ecosystem. Easily implemented via page-level code, Malvertising Defense protects publishers by blocking potentially harmful or deceitful code within ads from unprotected platforms but renders to ensure revenue without threat. Malvertising Defense alerts protected platforms to detected malicious ads within the creative and allows them to keep the ad from ever being served. In both cases, Malvertising Defense’s behavioral approach results in superior detection of malicious behavior with lower costly false positive rates and diminished ROI for malvertisers.

In the digital age, low-code is the answer to the challenges that occur during traditional software development. Low-code is a visual approach to software development that streamlines the delivery of solutions through abstracting and automating steps in an application lifecycle. Are you thinking of High productivity, Faster transformation, Cost-effectiveness, Reduced complexity and Improved agility? Then this is the right place for you. Sisar aims to provide the clients with the best low code solution with the help of experts. Accelerate Digital Transformation and Innovation with our technology. Sisar aims to provide clients with the best low-code solution with the help of experts. Develop the code at a faster rate and reduce the efforts of traditional programming efforts.