Human Risk Management Platform —
AI Phishing Simulation & Security Awareness Training
Human risk management solutions with AI phishing simulation, human-centric attack surface mapping, and board-reportable risk scoring. A human risk management platform that replaces annual training with continuous AI phishing simulations, adaptive micro-training, and real-time Human Risk Number scoring. Map your human attack surface, measure employee security behaviour, and build a culture where people are your strongest defence.
Measurable outcomes in just days.
Reduced Human Error
Lower security incidents caused by human mistakes through continuous training and awareness.
Improved Detection
Users become the first line of defense, identifying and reporting phishing attempts and threats.
Compliance Achievement
Meet security awareness training requirements for HIPAA, PCI-DSS, and other regulations.
Security Culture
Build a strong security-first culture where employees actively participate in protecting the organization.
Lower Breach Risk
Reduce the likelihood of successful attacks by ensuring employees consistently recognize and respond to threats.
Measurable Training Impact
Track engagement, reporting rates and improvement over time to prove the effectiveness of security awareness programs.
Built for every team
Improve security behaviors across the roles that attackers target most.
Security teams
Run a measurable program without extra admin overhead.
- Launch simulations on a schedule and measure behavior changes
- Prioritize coaching with risk scoring and role context
- Report outcomes to leadership with clear metrics
IT and Identity
Reduce account takeover and credential reuse risk.
- Improve password and MFA hygiene with reinforcement
- Catch risky behavior patterns before they become incidents
- Support remediation workflows like resets and enrollment
Finance and executives
Build resilience against BEC and invoice fraud.
- Train against spoofing, wire fraud, and vendor payment changes
- Increase verification behaviors across high-risk roles
- Reduce high-impact losses from social engineering
People ops
Make security awareness part of onboarding and culture.
- Deliver consistent onboarding training for new hires
- Reinforce data handling and policy behaviors
- Track completion for compliance requirements
Legal and Compliance
Stay audit-ready and reduce regulatory risk.
- Demonstrate compliance with security training requirements
- Maintain audit-ready evidence for regulators and customers
- Reduce legal exposure from preventable security incidents
IT Operations
Reduce operational disruption by preventing account compromise.
- Lower password resets and account lockouts
- Reduce security tickets caused by phishing incidents
- Support IT workflows with automated remediation
Common program outcomes
High-impact focus areas that reduce human-driven incidents.
What great looks like
A program that improves behavior, proves outcomes, and stays consistent.
Simulated phishing campaigns
Run simulated phishing campaigns that test emotional triggers aligned to current tactics and your real risk profile.
Human-centric attack surface mapping
Human-centric attack surface mapping software delivers targeted role-based training focused on the emotional and behavioral vulnerabilities that matter most.
Risk scoring and trends
Track improvements over time with human threat intelligence. Focus coaching where it matters most using data-driven risk scores.
Audit-ready reporting
Produce proof of human risk management phishing training, testing, and program effectiveness for audits across 12+ compliance frameworks.
Programs that stay current
Keep training, simulations, and human-centric attack surface mapping aligned as threats and teams evolve.
What Is Human Risk Management?
Moving beyond compliance checkboxes to measurable behaviour change.
Human risk management is the practice of continuously measuring, monitoring, and reducing the security risks that originate from employee behaviour. It is not the same as traditional security awareness training — a distinction that matters. Traditional training treats education as a compliance event: employees watch a video once a year, pass a quiz, and the organisation ticks a checkbox. The problem is that annual training doesn't change behaviour. Employees forget the content within weeks, and attackers don't wait for the next training cycle.
A human risk management platform takes a fundamentally different approach. Instead of treating training as a one-time event, it creates a continuous feedback loop: AI phishing simulations test employees against realistic attack scenarios, adaptive micro-training delivers targeted lessons based on each person's specific weaknesses, and a quantified risk score tracks whether behaviour is actually improving over time.
The shift from awareness training to human risk management reflects a broader change in how organisations think about people and security. Awareness assumes that knowledge prevents mistakes — if employees know what phishing looks like, they won't click. Human risk management recognises that knowledge alone isn't enough. People make mistakes under pressure, when distracted, or when manipulated by sophisticated social engineering. Effective human risk management addresses the emotional and behavioural dimensions of security — not just the informational ones.
Human risk management solutions also give security leaders something traditional training never could: measurable outcomes. Instead of reporting "95% of employees completed training," you report how many employees clicked a simulated phishing email this quarter versus last, which departments have the highest risk scores, and how those scores are trending. That's the data CISOs need to justify budget and boards need to assess organisational risk.
Human Risk Number (HRN) — Quantifying Employee Security Behaviour
A single score that tells you how likely your organisation is to be compromised through human error.
The Human Risk Number (HRN) is a composite metric that quantifies an organisation's human risk posture on a real-time, continuously updated basis. Unlike pass/fail training completion metrics, the HRN reflects actual employee behaviour — how people respond to simulated phishing attacks, whether they report suspicious emails, how quickly they complete remediation training, and whether their behaviour improves over repeated simulations.
Hunto AI calculates the HRN by combining multiple behavioural signals: simulation click rates (how often employees fall for phishing), credential submission rates (how often they enter passwords on fake pages), report rates (how often they flag suspicious messages), training velocity (how quickly they complete assigned modules), and recidivism (whether repeat offenders improve or keep failing). These signals are weighted by role sensitivity, data access level, and historical incident data to produce individual, department, and organisation-level scores.
What makes the HRN board-reportable is that it translates human behaviour into the language of risk. A board doesn't need to know that the finance team's click rate dropped from 18% to 9% — they need to know that the organisation's Human Risk Number improved from 72 to 41 over six months, placing it in the top quartile for the industry. The HRN provides that narrative with supporting evidence, trend data, and benchmarking context that satisfies both auditors and executives.
The HRN also drives the human risk management platform's automation. When an employee's individual HRN exceeds a threshold, the system automatically enrols them in targeted training, increases their simulation frequency, and flags them for their manager's attention — without requiring a security analyst to review every score manually.
How AI Phishing Simulation Fits Into Human Risk Management
Simulation is the engine that drives measurable behaviour change.
AI phishing simulation is the core measurement tool in any human risk management program. Without realistic, continuous simulations, you have no way to know whether employees can actually recognise and resist attacks — regardless of how much training they've completed. Hunto AI's simulation engine generates dynamic phishing scenarios using AI, adapting templates in real time to mirror the latest tactics attackers are using in the wild.
Simulations test seven emotional triggers that attackers exploit: urgency, authority, fear, curiosity, helpfulness, greed, and social proof. By varying these triggers across campaigns, the platform builds a detailed emotional susceptibility profile for every employee — revealing not just who clicks, but why they click. An employee who consistently falls for authority-based lures ("CEO requesting urgent wire transfer") needs different training than one who clicks curiosity-based bait ("You have a new voicemail").
The simulation data feeds directly into the Human Risk Number, closing the loop between testing and measurement. Each simulation result updates the employee's risk score, adjusts their training path, and contributes to department and organisation-level risk metrics. Over time, the platform builds a behavioural baseline for your workforce — making it possible to detect regression (an employee who was improving but suddenly starts clicking again) and celebrate genuine progress.
For organisations building or maturing their human risk management program, AI phishing simulation is the starting point. It provides the data foundation that makes everything else — targeted training, risk scoring, executive reporting — meaningful. Explore our full AI phishing simulation capabilities to see how the engine works.
Frequently asked questions
Human Risk Management is the continuous practice of measuring, monitoring, and reducing security risks that originate from employee behaviour. Unlike traditional security awareness training that treats education as a one-time compliance event, human risk management combines AI phishing simulations, adaptive micro-training, and real-time risk scoring to create a feedback loop that drives lasting behaviour change. The goal is not just to inform employees about threats, but to measurably reduce the likelihood that they will fall for them.
Human-centric attack surface mapping software identifies the people, roles, and departments within your organization who are most susceptible to phishing, social engineering, and other human-targeted attacks. By mapping emotional susceptibility profiles and behavioral patterns, human-centric attack surface mapping helps security teams focus training and resources where the human risk is highest.
Our AI-powered simulated phishing campaigns replicate current real-world phishing tactics including credential harvesting, malware delivery, business email compromise, and social engineering techniques. Our simulations test seven emotional triggers — urgency, fear, curiosity, authority, helpfulness, greed, and social proof — to measure employee emotional susceptibility profiling and behavioral resilience.
Employees who click on simulated phishing emails receive immediate educational content explaining what they missed and how to identify similar threats. This just-in-time training is highly effective for behavior change. Human risk management solutions then update the employee's risk score and adjust future simulation difficulty based on their susceptibility profile.
Yes, you can customize phishing templates, training modules, and campaigns to reflect your organization's branding, industry-specific threats, and internal policies. Our human-centric attack surface mapping adapts training to each employee's risk profile and emotional susceptibility.
Human threat intelligence combines behavioral analytics, phishing simulation results, and external threat data to build a comprehensive understanding of human-driven risks in your organization. It identifies which social engineering techniques are most effective against your workforce, tracks improvements over time, and feeds insights into human-centric attack surface mapping for targeted risk reduction.
Emotional susceptibility profiling analyzes how employees respond to different psychological triggers used in social engineering attacks — including urgency, authority, fear, curiosity, and social proof. Our simulated phishing campaigns that test emotional triggers provide data-driven insights into which individuals and departments are most vulnerable to specific manipulation techniques, enabling targeted training and risk mitigation.
Security awareness training is a component of human risk management, but it's not the whole picture. Traditional awareness training delivers information — videos, quizzes, annual refresher courses — and measures completion. A human risk management platform measures actual behaviour: who clicks simulated phishing emails, who reports them, who improves over time, and who doesn't. It then uses that data to adapt training, adjust simulation difficulty, and calculate a quantified Human Risk Number that tracks organisational risk posture. The difference is between knowing that employees watched a video and knowing that they can resist a realistic attack.
The Human Risk Number (HRN) is a composite score that quantifies how likely your organisation is to be compromised through employee behaviour. It combines simulation click rates, credential submission rates, reporting rates, training completion velocity, and recidivism data into a single metric that updates in real time. The HRN matters because it gives security leaders and boards a clear, benchmarkable measure of human risk — far more meaningful than training completion percentages. It also drives automation: when an employee's HRN exceeds a threshold, the platform automatically enrolls them in targeted remediation.
Yes. Regulations and frameworks including SOC 2, ISO 27001, HIPAA, PCI-DSS, and NIST CSF all require evidence of security awareness training and, increasingly, evidence that the training is effective. A human risk management platform generates audit-ready reports showing simulation results, training completion, risk score trends, and remediation actions — providing the timestamped, quantified evidence that auditors expect. This is a significant step beyond simply proving that employees watched a training video.
Best practice is continuous simulation — not quarterly campaigns. Hunto AI runs ongoing simulations with varied timing, templates, and emotional triggers so employees cannot predict when the next test will arrive. The frequency is automatically adjusted per employee based on their Human Risk Number: higher-risk employees receive more frequent simulations and training, while lower-risk employees maintain a baseline cadence. This adaptive approach maximises behaviour change without creating simulation fatigue.
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