A New Approach to Endpoint Management and Security
The Proliferation of Endpoints and the Need for a New Approach
The proliferation of endpoints in today’s enterprises is outpacing the ability of IT operations and security teams to cost-effectively manage increasingly complex environments. Already stretched thin, teams face the daunting task of securing vast IT estates with siloed tools, stale data, and other hindrances that create the perfect “imperfect” environment for vulnerabilities. And simply adding yet another bolted-on component to an existing patchwork quilt of technology solutions is a recipe for failure.
The Challenges of Automation and AI
While automation initiatives expand in multiple areas, achieving desired outcomes frequently falls short of aspirations. Regarding threat detection and response, for example, a SANS Institute survey revealed that “64% of organizations have integrated automated response mechanisms, but only 16% have fully automated processes.”
The Importance of High Cyber Hygiene Standards
To realize the full benefits of AI and ML, including overcoming staffing and budget limitations, IT operations and security teams must start with refocusing on high cyber hygiene standards that result in greater efficiency and reduced vulnerabilities – the fundamentals of endpoint visibility and control, regardless of the environment’s scale.
A New Approach to Endpoint Management and Security
Autonomous endpoint management (AEM) is the next evolution in endpoint management and security, leveraging:
- Real-time cloud intelligence to measure and analyze even the smallest effect of change to confidently predict the impact of endpoint change in real time.
- Automation and orchestration that scales and extends the value of precious expertise.
- Deployment templates and rings to ensure disruptions are minimized by rolling out endpoint change to match the rhythm of the business.
The Benefits of AEM
AEM has the potential to enable reliable AI and ML implementation and usage by providing a foundation of real-time insights from millions of data points, instantly analyzing sensor trends and usage patterns across endpoints. It will deliver prioritized, tailored recommendations to IT teams and automate changes – safely, with a centralized governance component.
Breaking Down Silos
Unifying data streams and increasing visibility will connect security and IT operations teams to ensure everyone is seeing and leveraging the same data. Successfully implemented, AEM will break down silos by providing a converged single source of truth both sides of the organization can trust.
Conclusion
The implementation of AEM will bolster operational resilience and avoid disruptions, continuously monitor and automate compliance checks, and enhance an organization’s security posture by proactively identifying, prioritizing, and remediating endpoint risks. Organizations hoping to realize the full benefits of AI and ML should look to AEM and its ability to foster IT resiliency and reliability, reduce risk, and provide IT and security teams with the newfound ability to confidently implement AI and ML that will solve organizational problems – instead of contributing to them.
FAQs
Q: What is Autonomous Endpoint Management (AEM)?
AEM is the next evolution in endpoint management and security, leveraging real-time cloud intelligence, automation, and orchestration to provide a foundation for reliable AI and ML implementation and usage.
Q: What are the benefits of AEM?
AEM provides a converged single source of truth, breaks down silos, and enables reliable AI and ML implementation and usage by providing a foundation of real-time insights from millions of data points.
Q: How does AEM improve endpoint visibility and control?
AEM provides real-time cloud intelligence to measure and analyze even the smallest effect of change, automates and orchestrates endpoint changes, and ensures disruptions are minimized by rolling out endpoint change to match the rhythm of the business.
Q: Can AEM help organizations overcome staffing and budget limitations?
AEM can help organizations overcome staffing and budget limitations by providing a foundation for reliable AI and ML implementation and usage, reducing risk, and providing IT and security teams with the newfound ability to confidently implement AI and ML that will solve organizational problems – instead of contributing to them.
