SimuPhish has introduced an experiential, artificial intelligence (AI)-powered approach to cyber risk assessments aimed at addressing one of the most challenging areas in cybersecurity: human behaviour risk.
The solution focuses on helping organisations evaluate employee vulnerability to cyber threats through realistic simulations and AI-driven assessments rather than relying only on traditional cybersecurity awareness methods.
Human behaviour remains one of the most significant factors influencing cybersecurity incidents. Phishing attacks, social engineering techniques and credential-related threats often exploit employee actions, making awareness and behavioural assessment important components of cyber risk management.
Traditional cybersecurity training methods typically focus on awareness sessions and policy communication. However, experiential approaches use realistic scenarios to understand how individuals respond to potential threats and identify areas where additional support may be required.
AI-powered cyber risk assessments can help organisations analyse behavioural patterns, identify vulnerabilities and develop more targeted security awareness programmes.
The growing sophistication of cyberattacks has increased the need for organisations to consider human risk as part of their broader enterprise risk management framework. Employees are not only users of technology systems but also important participants in an organisation’s overall security posture.
Artificial intelligence can support cybersecurity teams by analysing large volumes of behavioural data, identifying trends and helping prioritise risk mitigation activities. However, such solutions must be implemented with appropriate privacy controls and ethical considerations.
Human risk management requires a combination of technology, governance and organisational culture. Regular training, clear cybersecurity policies and effective incident reporting mechanisms remain essential for reducing exposure to social engineering and other human-related threats.
The increasing use of AI in cybersecurity also introduces new governance considerations. Organisations must ensure transparency in how employee data is collected, analysed and used while maintaining trust within the workforce.
For risk managers, integrating human risk into cybersecurity frameworks provides a more comprehensive view of organisational exposure. Cyber risk is no longer limited to technical vulnerabilities but also includes behavioural, process and governance factors.
As organisations continue their digital transformation journeys, managing human-related cyber risks will become increasingly important. AI-enabled assessments can support a proactive approach by helping businesses understand weaknesses and strengthen their overall cyber resilience.
The development reflects the broader shift in cybersecurity from prevention-focused technology controls towards a more holistic risk management approach that combines people, processes and technology.
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