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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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.
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70% by 2027
Organizations will need to merge DLP, insider risk, and IAM to detect suspicious behavior. Source: Gartner Research
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68% of breaches
Human error or social engineering were involved in the majority of breaches. Source: Verizon 2025 DBIR
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+180% in exploitation
Vulnerability exploitation as an entry point rose year-over-year. Source: Verizon 2025 DBIR
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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