AI for Security Criminology-Risk Investigation

AI for Security Criminology-Risk Investigation

This is for,

Heads of Security, Security Consultants, Security Company Owners, Security Integrators,
Corporate Investigators, Security Risk Managers, and Crime Analysts

HIM Tool Contains Booklet
& Short Video Clips on AI


What Users need to know

Representing 9.15 million security practitioners on Mission

View the Reviews Below

Security Success depends on the level of situational awareness of the people on the ground and their reaction speed

Juan Kirsten 2018

Multi-Purpose usability

This technology can be used effectively for vulnerability landscape analysis and effectively managing the response team besides internal management for,

  • Crime comprehension and detection

  • Increased reaction speed for emergency management

  • Incident management and relationship building

  • Mission assignments tracking and monitoring

  • For Strategic Layering of personnel

  • Governance and Compliance Management

  • Synchronizing new technologies into the AI system such as drones

  • Activating defense methods automatically

View the Reviews Below

“I believe that this document should form part of every security risk practitioner’s portfolio’’. This is about using AI for proactive security and investigation.

It gives direction on how to keep abreast of the current situations. This knowledge will equip one with the ability to recognize besides identify, new adverse situations, potential risks by using technology and manpower. The protocols and principles allows one to identify new crimes which every company is vulnerable to, and gives guidance on how to manage and control them”

Errol Peace FIS (SA), MSyl (UK), CFE (USA), AISM (India), IIPS (Nigeria)

Juan Kirsten’s AI Merging Technologies and Manpower for Security Criminology-Risk Investigation Management 2022 emphasizes critical points for consideration. In review, this document brings the critical thinking that the security practitioner needs to apply when articulating decisions, background, situational awareness, and due diligence in the quest for fit for purpose in using AI technologies.

He addresses the trust factor which is vital. There is no denying that TRUST is what users of AI or other technologies require for assurances. Moreover, AI architecture necessitates speed and efficiency in data collection. Also, he addresses in how data privacy is secured and should be at the forefront of users’ concerns with regards to criminality, security and human rights considerations.

Mr Kirsten also addresses the point of using experts in different fields because of their unique methodologies. Organisations may become unsustainable if they are not attentive to the Volatile, Uncertainty, Complexity, and Ambiguity (VUCA) environments in which they operate. AI situational and risk awareness of VUCA depends upon the evolving accumulative knowledge of the individual security practitioner and the organisations operating in the VUCA environment.

Catherine Halse, Due diligence examiner and investigations at Leaders With Sol

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