AI management and security in AI environments

Adopt AI with clear rules, assessed risks and controls against the threats specific to these systems.

Talk to a specialist

Artificial intelligence

Governed, trustworthy and secure AI

We support AI adoption with a management system under ISO/IEC 42001 and controls against the AI-specific threats described in ISO/IEC 27090.

ISO/IEC 42001AntiFraude

AI management system (AIMS)

We define how your organization decides on, develops, buys and oversees AI systems, with auditable roles, policies and controls.

  • Inventory and classification of AI systems
  • AI and acceptable use policies
  • Risk and impact assessment (ISO/IEC 23894 and ISO/IEC 42005)
  • Internal audit and certification readiness
ISO/IEC 27090AntiFraude

Security of AI systems

We identify and treat the threats that target AI systems directly, throughout their lifecycle.

  • Threat modeling for models, data and agents
  • Data poisoning, evasion, model theft and inversion
  • Prompt injection and output handling
  • Access control, logging and monitoring
TestingAntiFraude

Security testing of AI applications

We assess chatbots, assistants and agents the way an attacker would, before they reach your customers.

  • Tests guided by the OWASP Top 10 for LLM applications
  • MITRE ATLAS tactics and techniques
  • Data leakage and abuse of connected tools
  • Remediation and retest
PeopleAntiFraude

Safe use of generative AI

We bring order to the everyday use of AI tools so productivity does not turn into data leakage.

  • Shadow AI assessment
  • Personal and confidential data in AI tools
  • Awareness for executives and staff

AI governance and security cycle

  1. 01InventoryWhich AI systems exist, who uses them and with what data.
  2. 02AssessRisks, impact on people and applicable obligations.
  3. 03ControlPolicies, technical controls and clear ownership.
  4. 04TestOffensive testing of models, applications and agents.
  5. 05MonitorMonitoring, incident management and continual improvement.

Standards and frameworks we apply

  • ISO/IEC 42001:2023Artificial intelligence management system.
  • ISO/IEC 27090:2026Security threats and compromises to AI systems.
  • ISO/IEC 23894:2023AI risk management.
  • ISO/IEC 42005:2025AI system impact assessment.
  • NIST AI RMF 1.0AI risk management framework.
  • EU AI ActFor organizations offering AI systems in Europe.

See the frameworks and standards we apply

Contact

Let’s talk about your case

We respond confidentially. If this is an ongoing incident, say so in the form and we will prioritize your case.

Forensic laboratorylab@antifraude.io
OfficesMiami, FL · Bogotá, Colombia

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