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InfoWatch
InfoWatch Acquires Web Control DC Team and Rebrands sPACE PAM as InfoWatch Privilege Control
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Building a Minimalist UI Test Framework with Playwright and Pytest
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InfoWatch Details ARMA Wall NGFW Development for Industrial Systems Under Russian Import Substitution Rules
Policy & RegulationBridging Manual and Automated Testing: InfoWatch Engineer Outlines Unified Quality Process
InfoWatch senior test engineer Mikhail Shalepo has published a detailed article describing how his team built a reproducible process that links manual and automated testing into a single quality system. The approach addresses the growing complexity of server-side products that undergo quarterly releases and require extensive matrix testing across multiple operating systems and installation scenarios. Shalepo explains that the regulation focuses on decision points rather than prescribing exact test volumes, ensuring that choices about automation candidates, smoke-test gates, failure ownership, and manual compensation are documented and visible to the entire team. The framework divides work into two main blocks—feature development and pre-release regression—each containing preparation, execution, and completion stages. Key outputs include linked artifacts in TMS Scale, explicit Definition of Done criteria, and traceable coverage data that prevents reliance on individual knowledge. The article also shares practical lessons, including why separate mind maps and tables failed to stay current and how the team now integrates automation status directly with test cases.
Thales Group Report Reveals Surge in AI Agent Adoption and Rising Cybersecurity Budgets Worldwide
Thales Group surveyed over 3,000 respondents across 20 countries and found that 34 percent of organizations already use AI agents while 73 percent plan to deploy them within the next year. The rapid growth of agentic AI applications has dramatically increased data volume and speed, forcing companies to allocate separate security budgets, with the share rising from 20 percent last year to 30 percent this year. More than half of respondents reported that their AI applications had been targeted in attacks aimed at stealing confidential data, and 48 percent suffered reputational damage from AI-generated disinformation including deepfakes. Cloud storage, SaaS applications, and cloud management infrastructure remain the top three attack targets. In parallel, the Russian BISA association surveyed local specialists and discovered that 89 percent view the transfer of sensitive data to public AI services as the most critical risk vector, with 46 percent already aware of leakage incidents linked to generative AI tools.
Natalia Kasperskaya Advises Against Mass Biometric Rollout in Russia Citing High Costs, Reliability Issues and Deepfake Threats
Natalia Kasperskaya, president of InfoWatch and chair of the Domestic Software association, has warned that widespread deployment of biometric authentication across Russia would be both prohibitively expensive and insufficiently reliable. She argued that systems such as face recognition, which rely on creating detailed digital models from tens of thousands of points, require enormous computing power and data storage when scaled nationally. Kasperskaya highlighted practical limitations including poor camera quality, inadequate lighting and low-resolution source images that can prevent accurate recognition, especially on older smartphones. A growing concern she raised is the rapid improvement of deepfakes, which are becoming increasingly difficult for both humans and systems to distinguish from genuine images, thereby opening new avenues for fraud. She recommended using biometrics only in limited, high-value scenarios as a supplementary verification method rather than a universal replacement for other authentication techniques. The remarks come as Russia already operates the Unified Biometric System that enables access to Gosuslugi, electronic signatures, eSIM issuance and certain banking services.