Human Risk Management Platform:
AI Phishing Simulation & Security Awareness Training

Human Risk Management is the ongoing practice of measuring, watching, and lowering the security risks that come from what employees actually do. It isn't security awareness training. Awareness training is a one-time event. Human risk management is a feedback loop: AI phishing simulations test people, adaptive micro-training drops lessons on the specific weakness they showed, and a live risk score tracks whether behaviour is improving. The goal isn't to inform employees about threats. It's to make them measurably harder to fool.

It maps which people, roles, and departments in your organization are the easiest targets for phishing and social engineering. The map is built from emotional susceptibility profiles and behavioural patterns, not headcount or seniority. Security teams use it to put training and budget where the actual human risk lives.

Realistic enough that employees usually can't tell. The AI engine copies the tactics attackers are running this week: credential harvesting, malware delivery, business email compromise, vendor impersonation, BEC. Every campaign pulls on one of seven emotional triggers (urgency, fear, curiosity, authority, helpfulness, greed, social proof) so we can build an emotional susceptibility profile for each person, not just a click rate.

They get the lesson right away. The page they land on explains what they missed, what the real attack would have done, and how to spot the next one. Just-in-time training is the only kind that sticks. The platform also updates their risk score and adjusts future simulations to their susceptibility profile, so the next test isn't a softball.

Yes. Templates, training modules, and campaigns all customise to your branding, industry-specific threats, and internal policy. The attack surface mapping then adapts the training itself to each employee's risk profile and susceptibility, so a finance-team test isn't the same as one for engineering.

It's the picture of human-driven risk you get when you combine three things: behavioural analytics from your own workforce, simulation results, and external attack data. It tells you which social-engineering techniques actually work against your people, tracks whether they're getting better over time, and feeds the attack surface map so coaching goes where it pays off.

We watch how each employee responds to the psychological levers attackers actually use: urgency, authority, fear, curiosity, social proof, helpfulness, greed. Every simulation pulls on one. Over a few campaigns, the data shows which lever works on which person. Targeting becomes specific instead of generic.

Awareness training is one piece of the puzzle. It isn't the puzzle. Traditional training delivers information, videos, quizzes, an annual refresher, and measures completion. A human risk management platform measures behaviour: who clicks a simulated phish, who reports it, who improves over time, who doesn't. It uses the data to adapt training, raise or lower simulation difficulty, and produce a Human Risk Number that tracks the organisation's posture. The difference is knowing that someone watched a video versus knowing they can resist a real attack.

It's a single live score for how likely your organisation is to be compromised through employee behaviour. It pulls together five signals: simulation click rates, credential submission rates, report rates, training velocity, and recidivism. The score updates in real time. Why it matters: it gives security leaders and boards a number they can benchmark and trend, instead of a training-completion percentage that says nothing. It also drives the platform's automation. When someone's score climbs over a threshold, they get enrolled in targeted remediation without an analyst lifting a finger.

Yes, and it's becoming more important. SOC 2, ISO 27001, HIPAA, PCI-DSS, and NIST CSF all want evidence of security awareness training. Increasingly they also want evidence the training works. The platform generates audit-ready reports with simulation results, training completion, risk score trends, and remediation actions, all timestamped and signed. Auditors look for that. A list of who watched what video doesn't cut it any more.

Continuously. Not quarterly. Hunto AI runs ongoing simulations with varied timing, templates, and emotional triggers so nobody can pattern-match the schedule. The frequency adjusts to each person's Human Risk Number. Higher-risk employees see more tests and more training. Lower-risk employees stay on a baseline cadence. The point is to change behaviour without exhausting people.

Hunto AI does. Every simulation pulls on one of seven emotional triggers (urgency, fear, curiosity, authority, helpfulness, greed, social proof) and scores how the person responded. Over a few campaigns you get a per-employee profile that says which lever works on them. Training then targets the actual weakness instead of a generic checklist.

Yes. Hunto AI tests employee behaviour through continuous phishing, vishing, and smishing campaigns. The results roll up into risk analysis at three levels: individual, department, organisation. Each test feeds a live Human Risk Number that says how likely each person is to get compromised. Training then goes where the actual behavioural risk is highest, not where the headcount is biggest.