According to Gartner forecasts, by 2026, over 40% of large organizations will use AI-based solutions to automate audit and compliance processes. This will significantly accelerate obtaining and maintaining ISO/IEC 27001 and SOC 2 certifications, replacing traditional, resource-intensive manual data collection methods.
Challenges of traditional security auditing
Preparing for ISO/IEC 27001 and SOC 2 certification typically involves several challenges:
- The need to analyze vast volumes of logs, configurations, and policies.
- The complexity of gathering information from disparate systems (CRM, ERP, SIEM, IAM, DLP).
- A high risk of human error.
- A lengthy and costly process that can take several months.
The benefits of AI-driven compliance
Systems leveraging machine learning and natural language processing (NLP) are transforming the audit process through the following capabilities:
- Automated evidence collection: integration with IT systems to gather logs and configuration files.
- Continuous monitoring: real-time data analysis to detect deviations from security standards.
- Anomaly detection: identifying unusual behavior patterns and new threats that traditional SIEM systems miss.
- Report generation: automated creation of compliance status documentation.
The experience of Ukrainian developers
Market players are actively implementing technologies to automate compliance. Specifically, Softengi specialists develop AI agents to detect anomalies in corporate networks. System integrators Softline and IQusion provide the implementation of comprehensive cybersecurity and KSZI (comprehensive information protection systems) solutions in the public sector. SL Global Service specializes in cloud security, providing IAM, SIEM, and DLP tools that form the foundation for AI-driven compliance in the cloud.
Implementing artificial intelligence not only reduces operational audit costs but also enables organizations to build a proactive information security management system.
How this affects the sector
The transition to AI-driven compliance will reshape the cybersecurity landscape. Organizations will move away from periodic, stressful annual audits to continuous, real-time compliance monitoring. This reduces operational costs, minimizes human error, and allows security teams to focus on strategic threat prevention rather than manual paperwork.
How to prepare
To successfully transition to automated compliance, organizations should take the following practical steps:
- Integrate existing IT systems (CRM, ERP, SIEM, IAM, DLP) with AI-powered tools to enable automated evidence collection.
- Deploy machine learning agents and continuous monitoring systems to detect anomalies and policy deviations in real time.
- Partner with experienced system integrators and developers, such as Softengi, Softline, IQusion, or SL Global Service, to implement comprehensive cybersecurity and cloud protection solutions.
Prepared by a Software Ukraine member. Original publication.