Strengthening your NIST framework: A guide to closing the human risk gap

Insider risk is not what you think

This guide exposes a critical blind spot in the NIST Cybersecurity Framework: Human Insider Risk. Even the strongest frameworks and tools fail to detect behaviors that create vulnerabilities.

This report reveals how organizations can close detection gaps and address emerging insider threats—without compromising integrity or privacy

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Learn how to strengthen NIST CSF to detect the hardest-to-spot threats. Download Strengthen your NIST framework to understand how to close the most dangerous cybersecurity gap—before it’s exploited

By the numbers

The human factor in cybersecurity

Human-centric risks are driving some of the fastest-growing challenges in cybersecurity. These numbers—drawn from Gartner research and Verizon’s 2025 Data Breach Investigations Report—show why insider risk is one of the most urgent, and often overlooked, threats to address.

001/004

70% by 2027

Organizations will need to merge DLP, insider risk, and IAM to detect suspicious behavior. Source: Gartner Research

002/004

68% of breaches

Human error or social engineering were involved in the majority of breaches. Source: Verizon 2025 DBIR

003/004

+180% in exploitation

Vulnerability exploitation as an entry point rose year-over-year. Source: Verizon 2025 DBIR

004/004

Insider risk ≠ intent

Most insider incidents stem from errors or coercion, not malicious insiders. Source: Gartner Market Guide for Insider Risk Management

Expert insight

IAM tells us who logs in when. It doesn’t tell us who’s quietly becoming a vulnerability.

Highlights

What's in the report:

  • Identify what NIST CSF covers—and what it leaves unaddressed

  • Recognize how private behavior becomes a vulnerability for exploitation

  • Understand the psychology gap: why IAM and behavioral analytics fail to detect human risk

  • Quantify the growing cost and impact of insider incidents on organizations

  • Strengthen the Detect function with precision detection and zero false positives

  • Align NIST with regulatory requirements like NIS2—without undermining privacy