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.
INSIGHTS & PRACTICE
Practical guides to business-process automation: from the first assessment to measurable results.
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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.
Integrating Scriptum.DMS with the NIS2 directive and AI enhances data protection and document workflow efficiency, particularly within the public sector.
Isolating IoT devices in critical infrastructure is a fundamental architectural solution for enhancing security without compromising operational manageability.
Integrating AI into RPA is transforming business processes, but success hinges on data readiness and effective risk management. Prepare your data.
Platform Engineering and IDP are transforming development, optimizing cloud costs, and enhancing security amidst increasing infrastructure complexity.
Domain-specific AI models are becoming a key tool for modernizing enterprise applications in 2026-2027, overcoming legacy system limitations.
Integrating AI policies into API Gateways is critical for proactive microservice protection in 2027, countering cyber threats and AI-related risks.
Protecting AI services from prompt injection and data leaks in 2026 requires a comprehensive approach and integration with existing cybersecurity tools.
Integrating Megapolis.DocNet with eSud optimizes business processes and interaction with government bodies, enabling the phasing out of outdated ECM systems.
Integrating Edge AI with 5G and data security measures is becoming the foundation for protecting critical infrastructure by 2027, requiring systematic data management.
Multi-cloud strategies without consistent FinOps transform cloud budgets into uncontrolled expenses where growth doesn't align with business value.
Phased migration of legacy ERP systems in the public sector helps avoid downtime and ensures process continuity by focusing on automation and data.