Empower Security Teams to See More and Respond Faster to Modern Threats with Zscaler Endpoint Context

Modern security operations teams are under pressure from every direction: Attacks are moving faster, adversaries are blending into normal activity more effectively, and defenders are being asked to make better decisions with less time and less certainty. Adding to that challenge is a growing new threat vector: AI-assisted attacks.

Threat actors are already using AI to improve the speed, scale, and sophistication of their campaigns. One of the most visible examples is AI-generated malware and script development, where attackers use AI tools to:

• Accelerate code creation
• Modify payloads
• Refine phishing kits
• Generate variants designed to help evade traditional detection methods

Combined with common tactics like abusing legitimate system tools or introducing threats via USB, Bluetooth, or AirDrop, AI provides attackers new ways to expand reach while reducing effort.

For network and security operations professionals, it’s no longer enough to see that a suspicious connection occurred or that a firewall event was triggered. Security teams need to know what on the endpoint actually caused that network activity. A trusted browser? An unsigned binary? A vulnerable application? A suspicious process using legitimate system tools to hide malicious intent?

This is the problem Zscaler Endpoint Context solves: it enhances security efficacy by bringing together endpoint, network, identity, and cloud telemetry to reveal the application and process behind endpoint activity. By extending endpoint intelligence into the Zscaler Zero Trust Exchange, it helps organizations improve visibility, enrich detections, strengthen policy enforcement, and accelerate incident response. For operations teams, that means fewer blind spots, faster investigations, and more confidence in deciding what should be trusted—and what should not.

Why Endpoint Context Matters Now

Security teams have long had access to network logs, DNS activity, firewall alerts, and web traffic events. But those signals alone often don’t tell the full story. In many cases, teams can see traffic leaving the endpoint without seeing the process, application, code-signing status, or risk profile behind it.

That lack of context slows down investigations and creates opportunities for attackers to hide in plain sight. Fileless techniques, living-off-the-land activity, trojanized applications, and suspicious scripts often look benign at the network layer until endpoint context is added. Without that deeper view, analysts are forced to pivot manually across multiple tools just to answer a simple question: What generated this traffic?

Zscaler Endpoint Context closes that gap with richer intelligence about the applications running on endpoints and makes that context actionable across investigation, response and policy. 

Deep application visibility across endpoints

Zscaler Endpoint Context provides detailed visibility into applications on supported endpoints, including Windows and macOS systems. It helps teams identify what is running in the environment and assess whether that software should be trusted.

Key details include:

• Application and product name
• Number of devices where the application appears
• File hash information such as SHA256
• Code-signing certificate status
• Version details
• Parent directory or path information
• Risk and threat classification
• Vulnerability information, including CVEs

For security teams, this helps reveal vulnerable, unsigned, suspicious, or unmanaged software that might otherwise go unnoticed.

Context-aware policy enforcement across the Zero Trust Exchange

A major strength of Zscaler Endpoint Context is that it does more than improve visibility. It also helps organizations act on that visibility.

Endpoint-derived intelligence can inform policy decisions across security controls such as:

• TLS/SSL inspection and policy
• Zero Trust Firewall
• DNS security
• Intrusion prevention
• Advanced Threat Protection

This allows teams to move from broad, static controls to more adaptive enforcement based on the application behind the activity. For example, security teams can differentiate trusted application behavior from suspicious process-driven traffic and apply policy accordingly.

More granular detections with application and process context

The addition of endpoint context makes detections more useful and more actionable. Instead of seeing only a network event, analysts can understand the process and application details behind it.

Enriched context can include:

• Application name
• Application type
• Threat type
• Application risk level
• Code-signing status
• Parent path
• Command-line arguments
• Execution-related identifiers

This helps analysts quickly determine whether activity is associated with legitimate software, a trojanized application, a suspicious script, or an abused native tool.

Enriched logging for SIEM and SOC workflows

Zscaler Endpoint Context also strengthens downstream operations by enriching security logs and making that data available for analysis and automation. Zscaler Nano Streaming Service (NSS) can feed enriched data into log workflows, including web, firewall, and DNS logs, as well as application inventory-style telemetry.

This gives SOC teams several advantages:

• Less manual pivoting during investigations
• Better correlation between endpoint and network events
• More effective detections in SIEM platforms
• Improved SOAR automation with richer fields
• Faster mean time to detect and respond

For mature security programs, this operational efficiency is a major benefit.

Block Out-of-band File-based Threats with Cloud Sandbox

Modern threats do not always arrive through standard inline inspection paths. Files can enter the environment through:

• USB devices
• Bluetooth
• AirDrop
• Other local or removable media channels

Customers with Advanced Cloud Sandbox help address monitor for and eliminate the blind spots out-of-band file transfers can create. Unknown files introduced through these channels can be intercepted and analyzed before they are allowed to execute or move freely.

This is important because many organizations have invested heavily in inline protection while still facing risk from local or offline file introduction points.

JA4 Fingerprinting for Unmanaged Devices

By using TLS fingerprinting techniques, Zscaler can help identify devices and applications, improve anomaly detection, and strengthen visibility even when an endpoint agent is not available. This extends security value to environments where conventional endpoint controls are difficult or impossible to deploy.

JA4 fingerprinting improves visibility and detection for unmanaged assets such as:

• IoT devices
• OT systems
• BYOD endpoints

Empower your security operations to be more effective

Zscaler Endpoint Context links endpoint processes to network activity, a critical capability as attackers use AI to enhance threats. By correlating endpoint, network, identity, and cloud data, it complements EDR/XDR solutions to fill visibility gaps.

This context allows security teams to see the application behind every connection, assess its risk, and make smarter real-time decisions. Teams get the intelligence needed to strengthen protection across all endpoints, detect threats faster, and enforce policies with greater precision.

Learn more: schedule a demo with our product experts today.