Security Research
Academic publications and technical studies advancing the state of cybersecurity testing, AI governance, and access control.
Read Agentic AI Security GuidanceGreenHat publishes research when it changes how security teams can evaluate real systems. The work here spans academic papers, applied frameworks, and technical studies that connect model behavior, application security, governance, and evidence quality. Topics are chosen for relevance to security operators, compliance leaders, product teams, and researchers working with live systems.
The research library is intentionally practical: each entry should help a security leader decide what to test, what to measure, what evidence to trust, or where automation can reduce manual review without replacing expert judgment. New work is added when it creates reusable security insight rather than one-off commentary, short-lived news, or generic trend coverage.
For applied guidance that translates research themes into operating decisions, the owned resource pages connect agentic AI security, digital identity protection, AI vendor risk, and compliance evidence back to GreenHat tools and advisory services. That keeps the research library useful for readers who need both technical context and a next step.
Agentic security testing
Research on browser-based agents, multimodal LLM reasoning, and access-control testing focuses on how security teams can evaluate modern applications without source-code access.
Digital identity governance
The digital identity work explores biometric and behavioral likeness protection, clone governance, and practical control models for organizations adopting agentic AI systems.
Operator-led validation
GreenHat research connects academic methods to field use: what can be tested, what evidence is trustworthy, and where automation still needs human judgment.
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