AI in CRM has moved from experimentation to enterprise‑scale adoption. The market is expanding rapidly, driven by GenAI, Agentic AI, and Autonomous Engineers that convert CRM from a transactional system into a strategic intelligence platform. Yet, measurable ROI hinges on data readiness, process standardization, and adoption discipline.
As AI adoption accelerates across industries, a new threat has quietly emerged. It does not come from external attackers or rogue algorithms, but from well-intentioned employees trying to work faster, smarter, and more creatively.
That threat is Shadow AI.
As AI becomes embedded in every layer of the modern enterprise stack, cybersecurity is no longer just a defensive function; it has evolved into an intelligent ecosystem. AI detects anomalies, hunts threats, responds autonomously, and fortifies digital perimeters faster than any security team. Yet the same intelligence also powers AI-driven cyber-attacks that are far more adaptive, evasive, and destructive.
Artificial intelligence has firmly stepped beyond the confines of pureplay technology companies and research labs to stride purposefully as an operational core in organizations across industries — large, medium and small.
