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AI system trust boundary User prompts and retrieved documents pass an input filter before reaching the model. Model output passes a policy check before tool calls or a response leave the boundary. Training data enters the model offline. Trust boundary User prompt Retrieved docs Training data Injected instruction Input filter Policy check Model inference offline Tool calls Response
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Explore AI security, cybersecurity, cloud security, governance, data security, and AI automation through our latest insights and practical guides.

AI Security Protecting models, prompts, agents and the pipelines that feed them. 2 articles

Latest: What Is Prompt Injection? How AI Attacks Work and How to Prevent Them

Cybersecurity Threats, vulnerabilities, defensive practice and incident response. First articles in progress
Cloud Security Identity, configuration and workload protection across cloud platforms. First articles in progress
AI Governance Policy, regulation, frameworks and accountability for AI systems. First articles in progress
Data Security Classification, privacy, encryption and data loss prevention. First articles in progress
AI & Automation How automation and AI tooling change security operations. First articles in progress