FREE HUMAN RISK SCAN

Understand Your Human Risk Exposure

Most cyberattacks don't begin with malware. They begin with people. Measure your organization's exposure to phishing, social engineering, credential theft, business email compromise, and AI-powered impersonation attacks with Innvikta's Human Risk Exposure Assessment.

Question 1 of 5

What is your company domain?

Explanation: Your domain helps identify publicly observable email security controls and potential impersonation risks.

THE WEAKEST LINK

Cybercriminals Target People First

Modern attacks rarely begin by breaking into systems. They begin by exploiting trust, behavior, communication patterns, and human decision-making.

Employees receive phishing emails, executives face impersonation attempts, and organizations are increasingly exposed to AI-generated social engineering attacks. Technical controls remain essential, but understanding human risk exposure is now equally critical.

74%

Human Error Remains a Leading Cause of Security Incidents

Source: Verizon DBIR
90%

Phishing Continues to Be a Common Initial Attack Vector

Source: CISA Threat Report
$2.9B

Business Email Compromise Causes Billions in Annual Losses

Source: FBI Internet Crime Report
135%

AI Is Increasing the Scale of Social Engineering Attacks

Source: Innvikta Threat Labs
METHODOLOGY

Built Around the Same Signals Attackers Use

Before launching an attack, threat actors conduct reconnaissance. They identify exposed identities, email weaknesses, brand impersonation opportunities, and publicly available organizational information. This assessment evaluates those same exposure indicators to help security teams understand their human attack surface.

0130%

Email Security Posture

SPF, DKIM, DMARC, email authentication, and spoofing protection.

0225%

Identity Exposure

Publicly discoverable employee identities and contact information.

0320%

Employee Exposure

Workforce visibility and publicly available organizational information.

0415%

Brand Impersonation Risk

Spoofing, look-alike domains, and impersonation opportunities.

0510%

Security Maturity

Visible governance, reporting processes, and security readiness.

EXECUTIVE SUMMARY

See What Your Assessment Reveals

Below is a realistic sample assessment representing human risk exposure parameters.

HUMAN RISK SCORE
67
out of 100 max
HIGH RISK EXPOSURE

Based on standard regional targeting baselines and observable perimeter controls, look-alike domain risks, exposed workforce email identities, and training maturity intervals remain elevated.

Email Security Posture

72% Exposure
Current State:Weak SPF/DMARC email authentication records detected.
Risk Explanation:Permitted spoofed emails bypass standard filtering to appear as legitimate corporate communications.
Recommended Action:Enforce strict DMARC reject policies and register comprehensive SPF/DKIM records.

Identity Exposure

61% Exposure
Current State:Exposed employee email credentials and identities discoverable on public indices.
Risk Explanation:Facilitates highly targeted spear-phishing campaigns, brute-force access attempts, and account takeover vectors.
Recommended Action:Restrict public directory lookups, enforce multi-factor authentication (MFA), and audit exposed accounts.

Employee Exposure

58% Exposure
Current State:Corporate directory structure and employee roles discoverable on public platforms.
Risk Explanation:Allows threat actors to map reporting relationships for targeted social engineering and departmental spoofing.
Recommended Action:Deliver role-based security training and define strict dual-authorization protocols for financial transactions.

Brand Impersonation Risk

79% Exposure
Current State:Active look-alike domains and brand abuse vectors registered by unauthorized third parties.
Risk Explanation:Tricks employees, suppliers, or clients into interacting with malicious look-alike portals and spoofed communication channels.
Recommended Action:Set up proactive look-alike domain monitoring, register key defensive domain variations, and establish a clear takedown protocol.

Security Maturity

42% Exposure
Current State:Continuous monthly training is active, providing a strong baseline defense for the organization.
Risk Explanation:Monthly phishing simulations are active, but must be personalized to match active role-specific threat targeting.
Recommended Action:Align simulations with real-time employee behavior metrics and roll out role-specific advanced defense modules.

Frequently Asked Questions

Still have questions? Contact us

A Human Risk Assessment is a formal evaluation of an organization's susceptibility to social engineering and human-centric cybersecurity threats. By analyzing employee behavior patterns, security awareness training frequency, phishing simulation click rates, and externally observable domain configuration records (like SPF, DKIM, and DMARC), a Human Risk Assessment establishes a baseline of vulnerability. It evaluates the human attack surface to guide security leaders in deploying targeted behavioral security solutions, reducing workforce security risks, and strengthening organizational resilience before threat actors attempt to exploit workforce vulnerabilities.

Yes, generative AI has drastically heightened social engineering capabilities. Threat actors use AI to write highly convincing, hyper-targeted spear-phishing emails, automate Look-alike domain campaigns, and create voice deepfakes for business email compromise (BEC). Because AI-generated attacks lack typical spelling errors and translate perfectly across languages, they bypass traditional employee filters, raising the overall baseline risk and demanding advanced behavioral security training.

Innvikta calculates the Human Risk Score using a weighted algorithm based on organizational parameters and defensive training practices. This includes workforce size (which expands the potential attack surface), industry target vectors (as sectors like BFSI and healthcare face disproportionate threat intelligence profiles), and security controls. We combine these threat factors with security readiness parameters, specifically auditing how frequently security awareness training and phishing simulations are run. These inputs are aggregated into a score from 1 to 100, where higher scores signify severe risk exposure.

Structured, continuous security awareness training builds defensive cognitive habits across the workforce. Rather than viewing compliance as a checkbox exercise, active learning programs teach employees to identify credential theft, social engineering hooks, and data sharing risks. This behavioral focus creates an active 'human firewall,' reducing susceptibility to phishing campaigns and driving down the company's overall human risk exposure index.

A high Human Risk Score is primarily caused by security training maturity gaps and administrative email vulnerabilities. For example, if an organization never runs phishing simulations or conducts security awareness training less than quarterly, employees cannot build secure habits. Additionally, exposed employee identities on look-alike domains, weak DMARC/SPF configurations, and high workforce susceptibility to social engineering techniques escalate the vulnerability index. Large, targeted organizations in highly regulated sectors also start with elevated baseline threat intelligence targets.

Business Email Compromise (BEC) is a sophisticated form of social engineering where threat actors impersonate executives, partners, or vendors to orchestrate unauthorized wire transfers or harvest sensitive credentials. BEC scams rarely contain malicious files or links, bypassing traditional technical filters by relying entirely on conversational trust and look-alike domains. Understanding BEC vulnerability is a critical indicator in workforce threat assessments.

A score under 40 is considered low risk, representing a resilient workforce. Achieving a low risk score requires continuous monthly security awareness training, ongoing automated phishing simulations, strong email authentication records, and a proactive security culture. A score of 40-59 represents moderate risk, while any score exceeding 60 flags critical gaps in behavioral security, requiring immediate leadership intervention and structured human risk management campaigns.

DMARC (Domain-based Message Authentication, Reporting, and Conformance) is a critical email authentication protocol that prevents domain spoofing and brand impersonation. By working alongside SPF and DKIM, DMARC allows domain owners to instruct recipient servers how to handle emails that fail verification, blocking phishing attempts sent in the company's name and securing the brand's external email posture.

Organizations should evaluate human risk continuously. Because workforce behavior, threat vectors, and personnel change constantly, static annual assessments fail to capture active vulnerability peaks. Best practices suggest review of human risk score metrics monthly, integrated with recurring simulation reporting. This ensures security leaders can proactively adjust learning paths, identify newly vulnerable departments, and maintain audit-ready evidence for compliance framework reviews.

Innvikta measures human risk exposure by cross-referencing organizational characteristics, administrative records, and behavioral training frequency. We analyze domain controls, look-alike domain risks, and target vectors, combined with active program metrics like security training intervals and phishing simulator activity. This provides security leaders with a clear, defensible view of their human attack surface and specific, actionable paths for risk mitigation.

Phishing remains the primary initial access vector for enterprise breaches. Employee interaction with suspicious emails directly drives social engineering exposure, credential harvesting, and malware deployment. Measuring phishing susceptibility - specifically click rates and threat reporting rates - provides a direct behavioral baseline of human risk. Continuous simulations teach employees to spot active threat indicators, transforming them from targets into active defenders.

Ready to Measure Your Human Risk?

Human risk is measurable. The first step toward reducing phishing susceptibility, impersonation exposure, and workforce cyber risk is understanding where you stand today.

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