The digital era opened up a world of opportunities. But at the same time, it increased the threat surface. Today, the proliferation of remote and hybrid work and the increasing use of personal devices have expanded the threat surface, making it challenging to distinguish noise from actual signals that point out cyber threats.
As the security perimeter dilutes with digitization and digital transformation, the focus on endpoint security continues to increase. The global endpoint security market is projected to grow to $24.58 billion by 2028 from $13.99 billion in 2021.
Driving Zero-Trust Security
Zero trust is a cybersecurity paradigm that takes a proactive, integrated approach to security across all digital layers. AI and ML evaluate user requests in real-time, assess the security context, and generate risk scores for access decisions.
Enforcing Standardized Security Policies at Scale
With thousands of devices and numerous access points, enterprises can no longer control the networks or devices users use to access data. AI and ML help enterprises automatically adjust access policies according to real-time analysis of behavioral patterns.
Proactive Security Stand
AI and ML enable Next-Generation Anti-Virus (NGAV) to protect against zero-day attacks, fileless attacks, and evasive malware. These technologies detect unknown threats using string analysis, N-gram analysis, and control flow graphs.
Extended Detection and Response (XDR) leverages machine learning to identify sophisticated threats, track threats across system components, and investigate faster.
Improving Endpoint Visibility
ML and NLP technologies improve endpoint visibility by discovering and mapping endpoints across an organization. AI-based real-time authentication and behavioral analytics drive better security against lost devices by identifying patterns of user behavior.
Improving Patch Management
AI and ML power IT asset management, helping enterprises gain real-time visibility and control of every endpoint. They enable data-driven patch management that prioritizes risks based on exploit trends and threat intelligence.
Conclusion
AI and ML will become intrinsic to endpoint security solutions. As the world of work adopts new ways of working, these technologies will provide critical insight about incidents, empower organizations to respond faster, and make the security perimeter more relevant.
Connect with us to learn how AI- and ML-powered endpoint security can help transform your security posture.