Approximately 60% of corporate data breaches in 2025 were recorded after an employee’s termination – while their access formally remained active. Insider threats originating from current or former employees, contractors, or partners remain one of the most complex cybersecurity challenges. With the evolution of hybrid work models and the widespread use of cloud services, traditional offboarding approaches are becoming insufficient for effectively protecting sensitive data. In 2026, companies will increasingly turn to AI-based solutions to automate and enhance employee offboarding processes, minimizing risks.
Evolution of insider threats and their consequences
Insider threats are not limited to malicious actions. They can arise from negligence, errors, or insufficient employee awareness. However, the most dangerous are targeted actions aimed at stealing intellectual property, trade secrets, financial data, or personal information. Such incidents lead to significant financial losses, reputational damage, legal claims, and fines, especially under increasingly stringent regulatory requirements like GDPR or NIS2.
Employee termination is a critical moment when risks increase exponentially. Incomplete revocation of access rights, retained data copies on personal devices or cloud storage, and access to corporate systems through unofficial channels all create vulnerabilities. According to expert estimates, the average time to detect an insider threat can reach several months, giving the perpetrator ample time to cause harm.
Key challenges of traditional offboarding
Traditional offboarding processes are often manual, fragmented, and prone to human error. Key challenges include:
- Incomplete access revocation: Employees may retain access to systems that were not identified or were forgotten during the termination process.
- Lack of centralized management: Different departments (HR, IT, Security) may act in isolation, creating gaps in the process.
- Inability to track behavior: Absence of tools to monitor anomalous activity before or after termination.
- Difficulty in identifying sensitive data: Determining what data was accessible to the employee and whether it was copied or deleted.
- Delays: The duration of the offboarding process increases the vulnerability window.
AI-powered offboarding: transforming protection
AI-powered offboarding involves integrating artificial intelligence and machine learning into every stage of the termination process for proactive detection, prevention, and response to potential insider threats. In 2026, such systems will be capable of:
- Automated access identification and revocation: AI systems can scan all corporate resources, including on-premises and cloud services, to identify all accounts and permissions associated with the departing employee and automatically revoke them.
- Risk prediction: Based on User and Entity Behavior Analytics (UEBA), AI can detect anomalies in employee activity long before their departure – for example, unusual downloading of large volumes of data, accessing confidential information outside of work hours, or attempts to bypass security systems.
- Data monitoring and leak detection: AI algorithms can track data movement, identify sensitive information (e.g., using DLP solutions), and detect attempts to exfiltrate it outside the company perimeter.
- Workflow automation: Integration with HR systems and other corporate applications allows for automated creation and execution of offboarding plans, ensuring consistency and completeness of actions.
- Digital footprint analysis: AI assists in analyzing an employee’s digital footprint, identifying potential corporate data storage locations on personal devices or in third-party cloud storage.
Member company solutions and technologies
In the context of AI-powered offboarding and protection against insider threats, Intecracy Group member companies offer comprehensive solutions covering various aspects of cybersecurity.
Softline, as a system integrator with extensive experience, implements complex cybersecurity projects, including the deployment of access control, monitoring, and data protection systems. Specifically, the Softline team has significant expertise in building comprehensive information security systems (KSZI) for the Ukrainian public sector, which is crucial for entities handling sensitive information. This includes configuring DLP systems, which are fundamental for detecting and preventing data leaks during offboarding.
SL Global Service specializes in cloud cybersecurity, an indispensable component for companies utilizing cloud infrastructures. The SL Global Service team implements Identity and Access Management (IAM) solutions, SIEM systems for centralized security event monitoring, and DLP solutions that enable control and protection of data in cloud environments. This ensures complete revocation of access rights to cloud resources and monitoring of suspicious activity by departing employees across all cloud services.
IQusion provides IT services and solutions for the public sector, particularly in the area of comprehensive information protection systems. This includes consulting, development, and implementation of solutions that help government organizations protect critical data from insider threats, ensuring regulatory compliance. IQusion also has experience in implementing document management and BPM systems, which can be integrated with offboarding processes to automate access revocation for electronic documents.
The integration of these solutions creates multi-layered protection. For example, SL Global Service can provide secure cloud infrastructure and manage IAM, while Softline integrates DLP systems and implements KSZI on on-premises resources, and IQusion offers expertise for the public sector. This comprehensive approach, enhanced by AI algorithms for behavior analysis and risk prediction, minimizes the vulnerability window during offboarding.
Protection against insider threats requires continuous adaptation and the implementation of advanced technologies. Investing in AI-powered offboarding solutions in 2026 will become not just an advantage, but a critical necessity for any organization aiming to ensure robust protection of its data and intellectual property.
