Questions about security, data handling, deployment options, and licensing. Select a question to expand its answer. - Data Backups: Regular backups prevent data loss and ensure secure storage. - Access Control: Rules set by the algoQA admin grant access to authorized users only to access the generated test scripts. - Customer-Specific Deployment is supported. - Session Management: Prevents simultaneous access with the same credentials, enhancing account security and data protection. The choice depends on the applications and tech stack you are using. TestComplete is one such potential tool. If you decide to use TestComplete, then TestComplete licenses will be required. Since algoQA is a LCNC platform, the TestComplete license requirement will be optimized. algoQA implements several security measures to protect customer data and tests: 1. Access Control: Rules set by the algoQA admin grant access to authorized users only to access the generated test scripts. 2. Customer-Specific Deployment: Each customer's environment is isolated, ensuring data security. 3. Session Management: Prevents simultaneous access with the same credentials, enhancing account security and data protection. These measures help maintain the security and access restrictions for each customer using the platform. algoQA supports ongoing automation project needs by allowing you to extend your existing framework using it in a Brownfield Environment. This means you can leverage algoQA to optimize and expand your existing test automation efforts. For detailed assistance and implementation, AlgoShack offers consulting and professional services. Upon completing the registration, the customer support team will reach out to you for initial hand-holding sessions to explore the product and get started with algoQA. No technical knowledge is required to use the platform. For detailed information on pricing plans, see Pricing Plans in the FAQs. algoQA offers consulting and professional services in the area of test automation and QA, in addition to selling the product. For more information on pricing plans and services, refer to the Pricing Plans section in the FAQ document. Amazon Bedrock provides baseline safety and security controls out of the box through model-level protections and AWS security defaults. However, Bedrock Guardrails can be configured additionally to define and enforce content, privacy, and policy requirements. AWS provides infrastructure-level auditability by default. Application level AI activity logging is intentionally avoided, however it can be implemented as a customer design choice. The integration of algoQA into your testing process can vary depending on your testing maturity as follows: - In a Greenfield Environment: You can leverage algoQA right from the beginning of your project. This means you can use algoQA to define test cases, automate them, and establish a robust testing framework as your project progresses. You will be able to leverage algoQA for In-sprint automation. - In a Brownfield Environment: You can extend your framework using algoQA, provided that your existing framework is open, and fast-track automation. - REST APIs: Encrypted via HTTPS/TLS (supported). - SOAP APIs: WS-Security message-level encryption (upcoming). algoQA supports all commonly used industry-standard authorization mechanisms, including: - Basic Authentication: Username and password-based authentication. - Bearer Token Authentication: Token-based access commonly used in REST APIs. - OAuth 2.0: Supports secure, token-driven authorization flows used in modern applications. Customers have the option to deploy algoQA within their own infrastructure and maintain full control over their environment. Please note: - GenAI capabilities are limited in on-premises environments unless specific network and model compatibility requirements are satisfied. - By default, GenAI features are disabled in on-prem installations. - To enable GenAI functionality, the deployment must allow secure network access to the AWS Bedrock domain and meet the required compatibility conditions. Yes. algoQA can address any specific concerns. The scripts created using algoQA can be executed on the UAT environment without external dependencies, meaning no data needs to be transmitted to the environment for executing scripts. algoQA can be deployed on the on-prem UAT environment if scripts are to be generated and modified on the UAT environment. Otherwise, scripts can be transferred and executed. The size of the already generated scripts if only scripts are transferred. The size is dependent on the number of test cases, additional customization, etc. Scripts to be executed in the framework and language chosen. Prerequisites are dependent on the framework and language (chosen during configuration of the algoQA project) of the scripts. The detailed document is shared separately. On-premises deployment is supported for algoQA, but with specific considerations and limitations: 1. Deployment Models: - SaaS Deployment (Recommended): Hosted and fully managed on AlgoShack's secure AWS infrastructure with GenAI features working out-of-the-box. - On-Premises Deployment: Customers can host algoQA in their own infrastructure. GenAI support is limited unless specific network and model compatibility conditions are met. Default on-prem installs disable GenAI unless network access to the AWS Bedrock domain is allowed. 2. Options to have GenAI features for on-premises Deployment: - algoQA Bedrock Domain Whitelisting: Customer firewall or VPC must allow outbound HTTPS access to AWS Bedrock endpoints. - Provide Matching AWS Infra: A dedicated Bedrock-enabled AWS account/environment must be configured and accessible to algoQA. - Customer-Hosted Equivalent Models (Unsupported): While some customers may have identical models, AlgoShack does not support deploying or maintaining customer-hosted LLMs due to variability in model quality, runtime behavior, quantization, API compatibility, etc. 3. Key Considerations: - algoQA does not commit to deploying or managing LLMs on customer infrastructure. - If GenAI access is unavailable, relevant features degrade gracefully or remain disabled, without affecting core algoQA functionality. - Customer test data never leaves their infrastructure if using on-prem with Bedrock access. 4. On-Premises Deployment of algoScraper with GenAI Capabilities: - Deployment using AWS Bedrock: Requires whitelisting specific AWS Bedrock domains and ensuring HTTPS access on port 443. - Deployment without using AWS Bedrock: Requires availability of a 7B or above LLM variant and an API endpoint to access these models. Architecture: - LLM Provider: Amazon Bedrock - Model Usage: Uses foundation models via Amazon Bedrock APIs. - Data Handling: Stateless and transient prompts ensure zero data retention. - Frontend and API Gateway: The algoQA UI communicates with a secure backend, which mediates interactions with LLM services through authenticated Bedrock endpoints. Yes, scripts can be created centrally and executed in client environments. algoQA supports the creation of automation scripts in a centralized environment. These scripts can then be executed in various client environments, including on-premises and cloud deployments. This depends on the automation type and framework type you choose. The license is provided based on the subscription a customer chooses. AlgoShack offers a flexible user-based subscription model for algoQA. The available subscription options are: - Freemium Model: This model is available for free and provides basic access to algoQA features. - Pro Model: This subscription offers more advanced features and includes a one-month trial period. - Enterprise Model: This subscription provides comprehensive features and also includes a one-month trial period. For detailed information on the subscription models, visit the Pricing page on the AlgoShack website. Yes, scripts developed using algoQA can be reused across multiple banks. No, you do not need separate licenses for each customer environment. There is no specific limit on the number of users for the algoQA platform. However, the subscription models are structured based on the number of users: - Freemium Plan: Designed for individual users. - Pro Plan: Supports up to 5 users. - Enterprise Plan: Supports more than 5 users with custom pricing. Formal partnership frameworks are offered: monthly governance calls, business opportunity reviews, consultative support, and co-development as needed. Lab setup, independent consulting, and three-party deals (with partners like Genpact) tailored for enterprise needs and GenAI adoption guidance. algoQA can be deployed in the customer's own environment (such as AWS VPC) so no business data leaves the corporate firewall. Multi-tenant SaaS is optional. algoQA is available as freemium, pro, or enterprise SaaS. Consulting and "automation as a service" are available for wider implementation, including partner/co-development and lab setup. AlgoShack focuses exclusively on test automation. algoQA is a GenAI-powered, low-code/no-code automation platform producing scripts in any tech stack and boosting productivity by 10 to 20x over traditional methods. Only impact-based testing uses code analysis, leveraging trusted static code analyzers. Auto-healing and routine scenario automation remain non-invasive, typically requiring only UI/URL access. It can be deployed in-house within a firewall for privacy, with options for local or approved cloud LLMs (e.g., AWS foundational services), ensuring data privacy and organizational control. algoQA offers several unique features compared to existing tools, making it a valuable addition to your testing strategy: 1. Automation of automation: algoQA allows you to automate the process of automation, enabling you to scale your testing efforts and reduce costs. 2. Compatibility with existing solutions: You can extend your existing test automation platform by using algoQA, provided your current platform follows an open architecture. 3. Support for various development methodologies: algoQA supports Test Driven Development (TDD), In-sprint automation, and Behavior-Driven Development (BDD), among others. 4. Customizability and extensibility: You can customize and extend test scripts using custom actions, configuration functionality, and even integrate with tools like Sikuli, Squish, and TestComplete for Coordinate-Based Testing. 5. Productivity improvements: algoQA helps improve productivity by offering continuous testing, allowing you to realize the benefits of continuous integration and delivery. These features make algoQA a unique and powerful testing solution, especially during the initial development stages, as it allows for seamless integration with existing tools and methodologies while providing the flexibility to customize and extend your testing framework. AlgoShack offers flexible user-based subscription plans for algoQA. The Freemium model is available for free, and companies can access all subscription options, including Pro and Enterprise. In the Pro and Enterprise models, users can avail of a one-month trial period. For more information on subscription models, visit the Pricing page on the AlgoShack website. Additionally, AlgoShack proposes outcome-based engagement models where AlgoShack's engineers collaborate directly with your QA team. AlgoShack offers the following advantages over Leapwork and Fireflink in algoQA: - GenAI-powered test creation - Multi-platform coverage - Auto maintenance To experience these advantages firsthand, a 2-week free POC (Proof of Concept) has been proposed. The algoQA platform and its browser extension can only be used with the client's public sites. Any tools must be approved by the client before they can be used. Whitelisting the IP address is necessary for security. It ensures that only authorized systems can install algoQA and its browser extension, helping to prevent unauthorized access and ensuring the tool is used in a secure environment. algoQA is a SaaS solution by default. For clients requiring on-premises deployment, the platform is deployed directly within the client's network on one of the client's own servers, ensuring full control over the environment. All artifacts including prompts, screenshots, logs, and test artifacts are stored on the server hosting the algoQA solution within the client's on-premises environment. Nothing is stored externally. For on-premises deployments hosted on the client's server, algoQA uses the client's approved LLM rather than any third-party model. The platform plugs into whichever LLM the client approves, ensuring compliance with internal AI policies. No, Since the entire deployment resides within the client's environment and network, all data stays within the client's controlled environment. No data leaves the server once the on-premises deployment is in place. Agents operate with limited permissions: - **Scripting Agent:** Has file read/write permissions for scripting-related actions only. - **Test Authoring Agent:** Has browser permission to navigate web applications. Both agents operate using the client's own approved LLM rather than external models. AlgoShack is currently evaluating the applicable assessment requirements and plans to complete them as part of its security and compliance process. For on-premises deployments leveraging the client's own approved LLMs, no significant additional risk is anticipated, as all AI processing remains within the client's controlled environment.

Security, Deployment & Licensing