According to Gartner forecasts, by 2026, 40% of web application attacks will target APIs as the primary vector. The growing complexity of enterprise hybrid and multi-cloud environments increases the number of entry points for attackers. Traditional security methods are no longer capable of countering adaptive threats, driving the need for artificial intelligence (AI)-powered solutions.
Emerging API threats and the role of artificial intelligence
Modern threats go beyond classic DDoS attacks or SQL injections. They include API business logic abuse, the emergence of shadow APIs, sophisticated authentication attacks, and insider threats. AI-powered solutions offer new capabilities to counter these challenges:
- Behavioral analysis: detecting traffic anomalies and deviations from normal API usage patterns.
- Real-time analytics: scanning for vulnerabilities and predicting potential attack vectors.
- Automated response: blocking suspicious traffic and isolating compromised interfaces.
Ukrainian companies' experience in securing integrations
Association members are actively implementing comprehensive AI-driven approaches to protect enterprise landscapes:
- Data Management IG ensures API security during the integration of complex systems and implements Master Data Management strategies for proper authentication.
- Softline integrates AI monitoring tools into clients' existing IT infrastructures, providing user behavior analysis and automated incident response.
- IQusion builds secure API gateways and monitoring systems for the public sector using AI, focusing on regulatory compliance.
Why it matters for the industry
The vulnerability of APIs as a primary attack vector means traditional security measures are no longer sufficient. For businesses and system integrators, this shift requires a transition to adaptive, AI-driven security models to protect sensitive data, maintain regulatory compliance, and ensure the resilience of complex hybrid and multi-cloud infrastructures.
Next steps
To secure system integrations and mitigate emerging API threats, organizations should adopt the following practical steps:
- Deploy behavioral analysis: Use AI to detect traffic anomalies and deviations from normal API usage patterns in real time.
- Integrate AI monitoring: Embed automated monitoring tools into existing IT infrastructures to scan for vulnerabilities and isolate compromised interfaces.
- Secure API gateways: Implement robust Master Data Management strategies for proper authentication and build secure gateways to protect enterprise and public sector landscapes.
Integrating artificial intelligence into API security systems allows organizations to adapt to emerging cyber threats and ensure business process resilience.
Prepared by a Software Ukraine member. Original publication.