New EMA Research Reveals Rapid Adoption of Agentic AI is Outpacing Security Preparedness

# Security Preparedness Struggles to Keep Pace with Agentic AI Adoption The enterprise technology landscape is experiencing a critical imbalance: organizations are rapidly deploying agentic AI solutions while their security infrastructure lags dangerously behind. According to new research from Enterprise Management Associates (EMA), this widening gap between innovation and protection poses significant risks for businesses racing to implement AI capabilities. Ken Buckler, Research Director covering Information Security, Risk, and Compliance Management at EMA, authored the groundbreaking study that reveals how enterprise enthusiasm for agentic AI—autonomous systems capable of making decisions and taking actions—is outstripping their ability to secure these powerful technologies. As companies integrate AI agents into critical workflows and decision-making processes, many lack the comprehensive security frameworks necessary to protect against emerging threats and vulnerabilities unique to these systems. **Key Takeaway for Business Leaders:** Organizations must prioritize security architecture development alongside AI implementation strategies. This means conducting thorough risk assessments, establishing governance frameworks, and investing in security tools specifically designed for AI systems before expanding deployment. The research underscores an urgent need for businesses to align their innovation timelines with security readiness. Companies that fail to address this preparedness gap risk exposing sensitive data, compromising system integrity, and facing potential compliance violations as regulatory frameworks evolve to address AI-specific concerns. #AgenticAI #CyberSecurity #AIGovernance #EnterpriseRisk

# Security Preparedness Struggles to Keep Pace with Agentic AI Adoption

The enterprise technology landscape is experiencing a critical imbalance: organizations are rapidly deploying agentic AI solutions while their security infrastructure lags dangerously behind. According to new research from Enterprise Management Associates (EMA), this widening gap between innovation and protection poses significant risks for businesses racing to implement AI capabilities.

Ken Buckler, Research Director covering Information Security, Risk, and Compliance Management at EMA, authored the groundbreaking study that reveals how enterprise enthusiasm for agentic AI—autonomous systems capable of making decisions and taking actions—is outstripping their ability to secure these powerful technologies. As companies integrate AI agents into critical workflows and decision-making processes, many lack the comprehensive security frameworks necessary to protect against emerging threats and vulnerabilities unique to these systems.

**Key Takeaway for Business Leaders:** Organizations must prioritize security architecture development alongside AI implementation strategies. This means conducting thorough risk assessments, establishing governance frameworks, and investing in security tools specifically designed for AI systems before expanding deployment.

The research underscores an urgent need for businesses to align their innovation timelines with security readiness. Companies that fail to address this preparedness gap risk exposing sensitive data, compromising system integrity, and facing potential compliance violations as regulatory frameworks evolve to address AI-specific concerns.

#AgenticAI #CyberSecurity #AIGovernance #EnterpriseRisk

Original Source

Authored by Ken Buckler, Research Director covering Information Security, Risk, and Compliance Management at EMA, the study highlights a widening ...