Supply chain security lessons for AI integrations
The Miasma attack on Red Hat's npm packages highlights supply chain risks and credential theft, which are critical for AI integration security.
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The Miasma attack on Red Hat's npm packages highlights supply chain risks and credential theft, which are critical for AI integration security.
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By 2026, over 75% of new enterprise applications are projected to be developed using low-code or no-code platforms. Integrating artificial intelligence into these platforms significantly speeds up the creation and optimization of BPM systems.
By 2026, 40% of web application attacks will leverage APIs as the primary vector, necessitating a reevaluation of security approaches in system integration. Artificial intelligence is becoming a key tool for detecting and preventing these threats.
By 2026, over 80% of large enterprises plan to utilize integrated RPA and low-code solutions for business process automation, highlighting the critical role of platforms like Scriptum. This trend is driven by the need to enhance operational efficiency, reduce costs, and accelerate time-to-market for
Integrating enterprise systems via API is a key factor for quickly bringing new products and services to market. This approach ensures flexibility, scalability, and efficiency in data exchange across diverse IT landscapes.
Integrating AI and low-code platforms significantly accelerates business processes and reduces operational costs for companies.