Beset with cybersecurity risks, compliance regimes, and digital experience challenges, enterprises need to move toward autonomous endpoint management (AEM), the next evolution in endpoint management and security solutions.
CSO’s Security Priorities Study 2024 reveals that 75% of security decision-makers say that understanding which security tools and solutions fit best within their company is becoming more complex. Many are betting that artificial intelligence (AI) tools will help them meet their security goals, with 49% of survey respondents saying their companies are increasing spending in that category.
To achieve that goal, IT teams need visibility into, and control over, their expansive IT estates. Leveraging autonomous processes and having assurance those processes are trustworthy and reliable depends on this. Yet, standing in the way is that many are struggling with endpoint management, limited visibility and increasing costs, which results in security incidents, performance issues, and “time-consuming data reconciliations across disjointed tools,” according to a study from Forrester.
Having an autonomous IT and security solution for endpoint management in the form of a single platform that leverages real-time data, contextualized insights, and adherence to the highest quality control standards can help overcome common hurdles. That includes achieving full visibility into the endpoint environment and real-time control of all connected endpoints, generating accurate oversight and reporting.
How AEM will work
Leveraging advanced automation, AEM introduces a holistic approach that transforms how teams identify, prioritize, and remediate risks while managing endpoints at scale. AEM will continuously monitor endpoint activity, identifying and prioritizing risks in real time.
Facilitating real-time changes across millions of endpoints through a converged platform approach, AEM will enable consolidation of disparate tools and unification of IT and security operations. It will analyze sensor trends and usage patterns and provide continuous visibility and control. IT and security teams will be empowered to monitor endpoints comprehensively and address issues proactively, significantly reducing manual intervention. By replacing fragmented tools and processes, AEM ensures rapid identification and remediation of threats or system issues, minimizing downtime and risk.
By learning from past operator actions and understanding the contextual relationships between IT systems and endpoints, AEM will be able to recommend operator actions and dynamically generate context-based workflows tailored to an organization’s specific environment. With dynamic, reusable automations, AEM extends the expertise of key IT and security personnel, amplifying their impact across the organization.
Endpoint changes can thus be deployed with minimal disruption, aligning with business objectives and operational rhythms. This scalability reduces risks and increases efficiency as teams can focus on strategic initiatives rather than repetitive tasks.
AEM ensures seamless performance across all endpoints, eliminating vulnerabilities and misconfigurations. Dynamic, reusable automations will scale and extend the expertise of key security and operations staff, reducing risk and increasing operational efficiencies. Automated processes will keep devices updated, secure, and compliant with policies, reducing the burden on IT teams while enhancing overall security posture.
Advanced, human-centric automation can now enable IT teams to confidently implement AI and ML, that is in turn powered by real-time endpoint data at scale. As intelligence and autonomy reduce the need for constant human intervention, IT operations and security teams can shift from fire-drill mode to helping their business gain maximum value from enterprise adoption of AI and ML.
So, while the challenges may seem insurmountable to your teams today, the opportunity is at hand to begin implementing autonomous management of endpoints and reallocating resources to value-added tasks.
With centralized governance, highly efficient IT teams can balance trust in automation with full oversight to confidently control automated actions at scale using real-time data to ensure successful execution. AEM will help solve persistent skills gaps, tool sprawl, and budget constraints.
For more insight into autonomous endpoint management, visit www.tanium.com/autonomous-endpoint-management