most citedSecuring Agentic AI Systems -- A Multilayer Security Framework

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cs.CR2026

Hardening the OSv Unikernel with Efficient Address Randomization: Design and Performance Evaluation

Alex Wollman, John Hastings

Unikernels are single-purpose library operating systems that run the kernel and application in one address space, but often omit security mitigations such as address space layout r…

cs.CR2026

The Need for Standardized Evidence Sampling in CMMC Assessments: A Survey-Based Analysis of Assessor Practices

Logan Therrien, John Hastings

The Cybersecurity Maturity Model Certification (CMMC) framework provides a common standard for protecting sensitive unclassified information in defense contracting. While CMMC defi…

cs.CR2026

Weak Enforcement and Low Compliance in PCI DSS: A Comparative Security Study

Soonwon Park, John D. Hastings

Although credit and debit card data continue to be a prime target for attackers, organizational adherence to the Payment Card Industry Data Security Standard (PCI DSS) remains surp…

cs.CR2025

Toward Secure and Compliant AI: Organizational Standards and Protocols for NLP Model Lifecycle Management

Sunil Arora, John Hastings

Natural Language Processing (NLP) systems are increasingly used in sensitive domains such as healthcare, finance, and government, where they handle large volumes of personal and re…

cs.CR20253 cited

Securing Agentic AI Systems -- A Multilayer Security Framework

Sunil Arora, John Hastings

Securing Agentic Artificial Intelligence (AI) systems requires addressing the complex cyber risks introduced by autonomous, decision-making, and adaptive behaviors. Agentic AI syst…