Resources
Practical research, guidance, and perspectives on AI security posture, agent security, threat modelling, and continuous assurance.
AI Security Posture Management
AI systems increasingly connect to identities, data, tools, APIs, and business workflows. Understanding those relationships is becoming central to securing enterprise AI.
AI Security Posture Management · Insight · Illustrative resource
Read the insightCapability chain
See the AI systems, identities, permissions, data, tools, and actions that shape your security exposure.
Explore topicUnderstand how agents operate through identities, permissions, tools, APIs, and autonomous actions.
Explore topicApply threat modelling to AI systems, trust boundaries, data flows, tools, and agent capabilities.
Explore topicUnderstand the models, providers, tools, dependencies, and third-party AI services connected to your environment.
Explore topicConnect posture, findings, controls, evidence, and recognized frameworks over time.
Explore topicExplore practical architecture patterns for securing enterprise AI applications and agents.
Explore topicEditorial placeholders for future insights. These cards are illustrative and are not published articles.
AI Agent Security
As agents gain access to business systems, security teams need to understand not only what model an agent uses, but what identity it operates through and what that identity can do.
Read insightThreat Modelling
AI systems introduce new trust boundaries, tool interactions, data flows, model dependencies, and autonomous behaviours that security teams need to account for.
Read insightAI Security Posture
The security question increasingly becomes: what can this AI system access, what can it invoke, and what actions can it take?
Read insightExplore how AI security posture can connect to established security and AI governance frameworks.
AI risk management
AI management systems
Information security management
AI and application security guidance
Organization-specific requirements
Framework references are provided for guidance and alignment. ZXita does not provide certification.
A future ZXita research initiative.
A research program exploring how organizations discover, assess, protect, monitor, and assure AI systems as AI becomes increasingly connected to enterprise data and workflows.
Explore researchAn AI system does not exist in isolation. Its security posture emerges from the relationships between identities, models, data, tools, permissions, APIs, and actions.
Conceptual model · illustrative
AI system
Start with visibility into your AI environment and identify the security blind spots that matter.