Endpoint security is a cybersecurity approach to protecting end-user devices—such as laptops, servers, and mobile devices—from cyberthreats and malicious activity. As remote work and cloud adoption expand the digital attack surface, endpoints have become the primary entry point for threat actors.
A modern Endpoint Protection Platform (EPP) moves beyond traditional antivirus by integrating AI-powered analytics and continuous monitoring to stop attacks before damage occurs. This defense is crucial: Unit 42 data shows that endpoints are the main target in 72% of incidents, often serving as the launchpad for multi-front attacks that exploit both.
Key Points
Endpoints are primary targets and entry points for 72% of cyber attacks.
Modern protection relies on AI and behavioral analytics (NGAV) rather than static signatures.
A full-spectrum defense combines prevention (EPP), detection/response (EDR), and integrated visibility (XDR).
Zero Trust is enforced at the endpoint, continuously verifying device posture and limiting lateral movement.
Unified visibility and management are essential for securing remote workers and hybrid cloud environments.
A single compromised device without comprehensive protection can serve as a launchpad for ransomware, data exfiltration, and privilege escalation. This risk is underscored by the attack front data below, which indicates where threat actors concentrate their operations.
Key Data: Fronts of Attacks
Fronts of Attacks |
Percentage of Cases (Unit 42 2024) |
|---|---|
Endpoints |
72% |
Human |
65% |
Identity |
63% |
Network |
58% |
28% |
|
Cloud |
27% |
Application |
21% |
SecOps |
14% |
Database |
1% |
For CISOs and IT leaders, a comprehensive endpoint strategy is a mandatory control that directly manages organizational risk and maintains operational resilience:

Figure 1: Endpoint Security Lifecycle at a Glance
Endpoint security extends protection beyond the network perimeter to every device that connects to the organization’s systems.

Figure 2: A centralized management console is installed on a network server or in the cloud, and client software is installed on each endpoint device.
Modern endpoint security solutions operate on a client–server model designed to streamline management and protection across an organization’s network.
A centralized management console, typically hosted on a network server or in the cloud, serves as the command center. From this console, administrators can monitor, manage, and enforce security policies for every connected endpoint device, including laptops, mobile devices, and servers.
Each endpoint runs a lightweight client agent that communicates with the console, sharing telemetry data and receiving updates or threat intelligence in real time. This centralized approach enables unified visibility, faster response times, and consistent security coverage across the enterprise.
Modern endpoint protection platforms integrate advanced detection and automated response capabilities to counter increasingly sophisticated attacks. These systems perform the following functions continuously:
By combining machine learning, behavioral analytics, and threat intelligence, endpoint solutions can detect and neutralize fileless malware, ransomware, and zero-day exploits that might otherwise evade conventional defenses. This proactive, adaptive defense strategy transforms endpoint security from a reactive safeguard into an intelligent, predictive protection layer for the entire organization.
A multi-layered endpoint defense relies on several complementary technologies that work together to detect, prevent, and respond to cyberthreats. Below are the most common types of endpoint security used by enterprises today.
Comparison of Endpoint Security Types
Type |
Primary Function |
Detection / Protection Method |
Example Technologies or Tools |
|---|---|---|---|
Endpoint Protection Platform (EPP) |
Baseline defense against common threats like malware and phishing |
Signature-based scanning, firewall, encryption, and policy enforcement |
Palo Alto Networks Cortex XDR |
Endpoint Detection and Response (EDR) |
Continuous monitoring, detection, and response to active threats |
Behavioral analytics, telemetry collection, and real time investigation |
Palo Alto Networks Cortex XDR (EDR capabilities) |
Extended Detection and Response (XDR) |
Correlates and automates responses across multiple security layers |
Unified data from endpoints, network, cloud, and identity systems |
Palo Alto Networks Cortex XDR; XSIAM (AI-Driven SOC Platform) |
Next-Generation Antivirus (NGAV) |
Blocks advanced and unknown malware using AI and behavior analysis |
Machine learning, heuristic analysis, behavioral modeling |
Palo Alto Networks Cortex XDR (NGAV engine) |
Device Control & Data Loss Prevention (DLP) |
Prevents data leaks and unauthorized device use |
Endpoint monitoring, data classification, and policy-based restrictions |
Enterprise DLP integrated with Cortex XDR and Prisma Access |
Patch Management & Vulnerability Assessment |
Reduces exposure by fixing known vulnerabilities |
Automated patch deployment, vulnerability scanning |
Cortex Xpanse (Attack Surface Management)+ Prisma Cloud (Workload Protection) |
Mobile Device Management (MDM) / Unified Endpoint Management (UEM) |
Manages and secures mobile, remote, and BYOD endpoints |
Policy enforcement, remote wipe, app, and identity management |
Palo Alto Networks GlobalProtect (VPN & ZTNA) + Strata Cloud Manager |
EPP solutions provide a baseline defense against known threats such as malware, phishing, and ransomware.
They typically include antivirus, firewall, and encryption capabilities — all managed through a centralized console. EPP acts as the first line of defense, blocking threats before they can compromise devices.
Core EPP features typically include:
EDR goes beyond prevention by providing continuous monitoring and threat-hunting capabilities. It records and analyzes endpoint activity to detect anomalies, suspicious behaviors, or lateral movement attempts.
When a threat is detected, EDR enables rapid isolation, investigation, and remediation (automated isolation and containment of infected endpoints) — often in real time. EDR shifts organizations from reactive cleanup to proactive detection and response.
XDR extends the EDR concept by integrating data from multiple security layers — including network, email, cloud, and identity systems. This cross-domain visibility improves threat correlation and enables automated, coordinated responses across the environment. XDR helps security teams reduce alert fatigue and uncover advanced threats that span beyond endpoints.
NGAV uses machine learning and behavioral analytics to identify never-before-seen threats, rather than relying solely on signature-based detection. It can detect zero-day exploits, fileless malware, and polymorphic attacks, making it more effective than legacy antivirus solutions. NGAV serves as a critical layer of prevention in modern endpoint architectures.
These technologies protect against insider threats and data exfiltration. Device control regulates the use of removable media and peripheral connections, while DLP monitors and restricts the movement of sensitive data. Together, they help ensure data integrity and compliance across distributed devices.
These tools ensure endpoints remain secure by identifying and remediating software vulnerabilities before attackers exploit them. Automated patch deployment helps maintain compliance, reduce manual workload, and close security gaps in real time.
MDM and UEM solutions give administrators control over mobile and hybrid endpoints, enforcing policies and securing devices used in BYOD and remote work environments. UEM unifies control of laptops, smartphones, tablets, and IoT devices within a single platform.
In combination, these technologies create a defense-in-depth model that protects endpoints across all phases of an attack — from initial compromise to post-incident recovery. A layered approach ensures that if one control fails, another is ready to detect, block, or remediate the threat.
One of the most common points of confusion in cybersecurity is the distinction between traditional antivirus software and modern endpoint security platforms. While both aim to protect devices from threats, their methods, scope, and sophistication differ significantly.
Traditional antivirus software relies primarily on signature-based detection — it compares files and programs against a database of known malware. While effective at identifying previously cataloged threats, this approach fails to detect new, unknown, or zero-day attacks that lack a signature.
The table below shows the key differences between traditional antivirus and modern endpoint security in scope, capability, and response maturity:
Comparison of Traditional Antivirus vs. Modern Endpoint Security
Feature |
Traditional Antivirus |
Modern Endpoint Security |
Threat Protection |
Detects and removes known malware based on stored signatures. |
Identifies and neutralizes known, unknown, and fileless threats using AI, analytics, and threat intelligence. |
Coverage |
Protects individual devices only. |
Secures the entire network of endpoints, including laptops, servers, and cloud workloads. |
Workflow |
Reactive: Scans for infections and removes them after compromise. |
Proactive: Continuously monitors, detects, and responds to suspicious activity in real time. |
Modern endpoint protection software, on the other hand, uses a multi-layered defense model that combines traditional signature detection with behavioral analytics, machine learning, and integrated threat intelligence. This allows it to recognize suspicious patterns, detect fileless malware, and automatically respond to advanced threats in real time.
Zero Trust is a foundational security concept that operates on the principle: "never trust, always verify." For endpoints, this means no device, user, or application is inherently trusted, regardless of its location or network segment. Every connection and resource request must be explicitly authorized.

Figure 3: Integrated Security Platform with Zero Trust Endpoint Security
Applying Zero Trust principles to endpoints involves granular access control and continuous verification of device posture, user identity, and application health. This model significantly limits an attacker’s ability to move laterally across the network, even if they compromise a single endpoint. It strengthens the security boundary around every user and device.
Leading from the Front: Palo Alto Networks XDR/ZTNA 2.0 vs. Legacy EDR
Feature |
Legacy EDR/AV |
Palo Alto Networks XDR/ZTNA 2.0 |
|---|---|---|
Scope of Data |
Endpoint Telemetry Only |
Endpoint, Network, Cloud, Identity |
Primary Goal |
Detect and Respond on the Endpoint |
Detect, Respond, and Prevent Across Domains |
Response |
Manual or Semi-Automated |
Automated Cross-Domain Remediation |
Access Model |
Perimeter/VPN-Centric |
ZTNA 2.0 (Zero Trust) |
Intelligence |
Primarily Signature/IOC-Based |
Elite Unit 42 Adversary Intelligence |
A complete endpoint security strategy combines multiple technologies to prevent, detect, and respond to threats. In addition to EPP, EDR, and XDR, several other essential components reinforce device-level and network-wide protection.
Choosing the right endpoint security solution is one of the most critical decisions an organization can make. The ideal platform depends on your organization’s size, industry, risk profile, and available resources.
Because not all solutions offer the same depth of protection or scalability, selecting the right one requires a careful assessment of both current needs and future growth. To simplify this process, organizations can use the following framework when evaluating potential solutions:
Every industry faces unique regulatory and threat landscapes. For example, healthcare organizations must comply with HIPAA, while financial institutions must comply with PCI DSS or SOX. The right endpoint security platform should include built-in compliance reporting, audit-readiness, and policy-enforcement capabilities that align with your sector’s specific standards.
The type and value of the data your organization handles directly impact the level of security required. Highly confidential or regulated data, such as customer PII, intellectual property, or trade secrets, demands solutions with advanced data loss prevention (DLP), encryption, and zero-trust access controls to protect information both in transit and at rest.
Endpoint security should deliver strong protection without overextending internal resources. Evaluate the total cost of ownership (TCO), including licensing, deployment, maintenance, and staffing. A cloud-delivered or managed solution can reduce operational overhead and provide enterprise-grade defense without requiring large in-house teams.
No single technology can protect against every threat. A comprehensive strategy typically combines multiple security layers — for instance, EPP for prevention and EDR for detection and response — to deliver defense-in-depth. The most mature organizations extend this approach through XDR or SIEM integrations, achieving unified visibility and faster incident response across all endpoints and environments.
When these factors are evaluated together, they guide decision-makers toward a solution that balances security efficacy, compliance, cost, and scalability — ensuring the chosen endpoint protection strategy fits the organization’s risk profile and operational capacity.
Implementing and managing endpoint security presents significant challenges across both large enterprises and small-to-midsize businesses (SMBs). Security leaders must navigate complexity, operational overhead, and a rapidly expanding attack surface to maintain a strong security posture. A strategic approach is required to overcome these hurdles.
Security teams can maximize their endpoint protection effectiveness by focusing on these key, actionable strategies:
Key metrics include:
Tracking these metrics through a centralized SOC or XDR console demonstrates whether endpoint controls are actually improving resilience.