In today’s hybrid work environments, security teams must defend thousands—sometimes millions—of devices across corporate offices, remote locations, employee homes, cloud environments, and unmanaged personal devices. This sprawl has introduced a critical vulnerability: endpoint visibility gaps.
These are the blind spots where attackers hide, dwell, and move freely—undetected and unchallenged.
Despite heavy investment in SIEM, firewalls, and anti-malware, endpoint visibility remains the Achilles’ heel of modern cybersecurity. Without complete awareness of device behavior and security posture, detection falters, response slows, and compliance risks grow.
What Are Endpoint Visibility Gaps?
A visibility gap occurs when the security operations center (SOC) lacks awareness of a device’s status, activity, or presence on the network. These include:
- Devices not protected by endpoint detection and response (EDR) tools
- Shadow IT or bring-your-own-device (BYOD) endpoints
- Legacy assets missing endpoint agents
- Remote or offline machines operating outside internal networks
- IoT and OT devices lacking telemetry capabilities
- Systems misconfigured to bypass logging
Why These Gaps Exist:
- Inconsistent EDR agent deployment and coverage
- Poor asset inventory management
- Lax BYOD policies with no unified monitoring
- Cloud workload sprawl
- Fragmented data pipelines between EDR, SIEM, and NDR tools
Outcome: Your security team may think the environment is secure—but attackers know exactly where visibility fails.
Key Pain Points: What Visibility Gaps Break
Threat Detection Fails Without Endpoint Context
You might detect a suspicious login in the SIEM—but without EDR telemetry, you won’t know:
- If malware executed post-login
- What data the attacker accessed
- Whether privilege escalation occurred
- If the device is beaconing to an external command-and-control server
Without telemetry, detection is incomplete.
Lateral Movement Goes Undetected
Attackers exploit blind spots to pivot undetected between systems. Visibility gaps mean:
- No detection of host-to-host movement
- No tracing of credential dumping or process injection
- No historical timeline of attacker actions
"If your security map is incomplete, attackers will use the gaps to draw their own."
BYOD and Remote Work Expand Your Attack Surface
Hybrid work is now standard—but endpoint security policies often stop at the corporate edge.
Without coverage of employee-owned or contractor devices, organizations face:
- Patch gaps
- Lack of telemetry on sensitive systems
- Inability to enforce application or data controls
- Exposure from unmanaged cloud collaboration apps
In 2025, if it's connected, it must be protected.
Compliance and Audit Exposure
Frameworks like ISO 27001, NIST CSF, GDPR, and HIPAA all require:
- Centralized asset tracking
- Evidence of endpoint protection
- Proven response capabilities
Without proof of monitoring and protection across endpoints, you risk non-compliance—and fines.
Slower Incident Response and Forensics
You can’t contain what you can’t trace. Incomplete endpoint data leads to:
- Delayed containment actions
- Inaccurate root cause analysis
- Incomplete eradication of threats
- Missed indicators of compromise (IOCs)
Forensics depends on endpoint data. Period.
Why Traditional Solutions Fall Short
Legacy antivirus and standalone EDRs no longer meet today’s visibility demands.
Challenge: Coverage inconsistency
- Traditional EDR Response: Agents misconfigured or uninstalled
- Risk: Unknown devices remain invisible
Challenge: No offline telemetry
- Traditional EDR Response: No visibility when devices go offline
- Risk: Attackers dwell unnoticed
Challenge: Signature limitations
- Traditional EDR Response: Misses fileless and behavior-based threats
- Risk: Zero-days and insiders bypass detection
Challenge: Alert overload
- Traditional EDR Response: No correlation across tools
- Risk: False positives waste analyst time
Challenge: Siloed data
- Traditional EDR Response: No integration with SIEM/NDR
- Risk: Context is missing during triage
What Comprehensive Endpoint Visibility Looks Like
The modern enterprise must adopt visibility standards that support:
- Unified asset inventory across all device types
- Real-time telemetry from kernel to application layer
- Behavioral analytics, not just signature matching
- Cross-domain correlation between endpoints and network
- Threat context (e.g., mapping to MITRE ATT&CK, actor behaviors)
This is the new baseline for resilience.
How Peris.ai Closes the Endpoint Visibility Gap
Peris.ai EDR
Peris.ai’s endpoint detection and response platform provides:
- Continuous behavioral telemetry (file, process, registry, network)
- Real-time endpoint inventory sync with SIEM
- Active response tools (kill process, isolate host, lock accounts)
- OS-agnostic support (Windows, Linux, macOS)
- Cloud-native console for remote visibility
- Threat correlation with INDRA CTI
Peris.ai NVM (Network Visibility & Monitoring)
Works alongside EDR to deliver:
- Network-based behavioral detection (East-West and North-South)
- Visibility into unmanaged devices (BYOD, IoT, OT)
- AI-driven anomaly detection on network flows
- Integration with EDR to map attacker behavior end-to-end
- Protocol-aware analysis (DNS, HTTP, SMB, LDAP)
Together, EDR + NVM give you endpoint-to-network visibility, with deep context and automation.
Before vs. After: Visibility in Action
Metric: Endpoint visibility coverage
- Before Peris.ai: ~78%
- After Peris.ai: 99.9% (including BYOD, remote, cloud)
Metric: MTTD for endpoint-based attacks
- Before Peris.ai: >24 hours
- After Peris.ai: <15 minutes
Metric: BYOD/IoT detection rate
- Before Peris.ai: Partial
- After Peris.ai: Complete (via NVM)
Metric: Lateral movement dwell time
- Before Peris.ai: 3–5 days
- After Peris.ai: <6 hours
Metric: Time to RCA after alert
- Before Peris.ai: 2–5 days
- After Peris.ai: Same day (automated evidence correlation)
Recommendations to Improve Endpoint Visibility
- Audit existing EDR deployment across all device classes
- Unify telemetry between endpoint and network platforms
- Expand to unmanaged endpoints using agentless or network detection
- Tag assets and owners in your inventory for accountability
- Enrich detection with threat context (e.g., INDRA or similar CTI)
- Automate response workflows (via Brahma Fusion or other SOAR tools)
- Benchmark and improve using KPIs: MTTD, endpoint coverage, false positives, RCA time
Conclusion: Visibility Is Resilience
In the age of distributed work and AI-powered attacks, your biggest risk isn’t the malware you haven’t seen—it’s the endpoint you didn’t know existed.
Visibility isn’t optional. It’s foundational.
Organizations that unify endpoint and network telemetry, contextualize alerts, and automate response don’t just detect threats faster—they reduce business risk, meet compliance standards, and empower their teams to operate proactively.
Explore how Peris.ai EDR and NVM can illuminate your infrastructure—and eliminate your blind spots: https://peris.ai