Kszi-En — TechCom

Automating compliance audits with artificial intelligence

Thu, 28 May 2026 22:52:30 +0300

According to Gartner, by 2026, over 40% of large organizations will leverage AI solutions for automating audit and compliance processes, significantly accelerating the attainment and confirmation of ISO/IEC 27001 and SOC 2 certifications. Traditional audit approaches, relying on manual data collection and document review, are becoming excessively resource-intensive and slow amidst the ever-increasing complexity of IT infrastructure and regulatory requirements.

Challenges of traditional information security audits

The process of preparing for and undergoing audits for compliance with ISO/IEC 27001 and SOC 2 standards is a complex task demanding significant time and resources. The primary challenges include:

Enterprise data management and governance for system integration

Fri, 24 Apr 2026 06:10:33 +0300

According to Gartner, by 2026, over 80% of organizations that fail to implement comprehensive Data Governance strategies will face significant fines for non-compliance or lose competitive advantages due to poor data quality. Enterprise Data Management and Data Governance have become critical components for any company striving for effective digitalization and system integration. This is not merely a set of rules but an integrated strategy encompassing processes, policies, standards, and technologies to ensure data quality, security, and accessibility throughout its entire lifecycle.

Significant developments for SCADA and Industrial IoT in 2026

Mon, 02 Feb 2026 09:08:34 +0200

By 2026, the integration of Industrial IoT (IIoT) and SCADA (Supervisory Control and Data Acquisition) systems is a key factor in enhancing operational efficiency and competitiveness for industrial enterprises. According to industry analysts, a significant portion of manufacturing companies have already implemented or are actively testing IIoT solutions for process optimization, predictive maintenance, and improved safety. This is not merely a technological evolution but a fundamental shift in production management approaches, requiring deep data integration and automation.

Cybersecurity for AI: The emergence of DLP standards by 2026

Tue, 27 Jan 2026 09:52:55 +0200

Rising Risks of Data Leaks in AI Systems

By 2026, over 70% of new AI systems will experience data breaches due to inadequate Data Loss Prevention (DLP) solution integration. Artificial intelligence, integrated into corporate processes, handles vast amounts of sensitive information—from customer personal data to trade secrets and intellectual property. This data is both the fuel for AI and its most vulnerable point. Traditional DLP systems, designed to protect structured data in conventional enterprise systems, often prove ineffective against complex attack vectors targeting AI models and their training datasets.