White Papers
Our whitepapers deliver in-depth analysis of today’s most critical cybersecurity and AI challenges. Each paper provides practical insights, real-world context, and expert guidance to help organizations stay ahead of evolving threats.
The Economics of AI Defense
The Alignment Gate: Intent and Instruction Guardrails for Agentic AI
This paper proposes a measurable alignment framework for agentic AI that maps user intent to system actions using probabilistic scores and a tunable threshold rule, making decisions interpretable and improving safe execution control.
The AI Explainability Scorecard
A Two-Stage Approach for Implicit Bias Detection in Generative Language Models
This paper introduces a two-stage method to detect both direct and indirect gender bias in generative language models, revealing that models like GPT-2 and OPT exhibit bias in clinical scenario responses.
Security for Agentic AI
Security for Agentic AI
Autonomous AI agents introduce new security risks, and this paper explains how to identify, monitor, and control agent behavior to prevent misuse, escalation, and unintended actions in real-world systems.
The Economics of AI Defense
This paper quantifies the business value of AI defense by translating agentic AI risk into financial terms, showing how guardian agents measurably reduce loss, improve control, and justify security investment.
The AI Explainability Scorecard
The AI Explainability Scorecard
This paper provides a clear framework for measuring how well AI systems explain their decisions, helping teams balance transparency, trust, and performance across real-world use cases.
Security for Agentic AI
Security for Agentic AI
Autonomous AI agents introduce new security risks, and this paper explains how to identify, monitor, and control agent behavior to prevent misuse, escalation, and unintended actions in real-world systems.
