2026-04-01paper
Modeling Agent Risk as a Trajectory
Framing agent behavior as a sequence of probabilistic state transitions under policy constraints.
Research, notes, and system behavior
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whitepaper2026-01-20
Runtime Governance for Agent Systems
This paper introduces a formal framework for real-time governance of autonomous agent systems. We define runtime governance as the continuous process of observing, interpreting, evaluating, and controlling agent behavior against policy constraints and risk thresholds. The framework addresses limitations of static policy enforcement and post-hoc monitoring in dynamic, multi-agent environments.
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2026-05-16article
Why AI Agents Leak Data (and How to Stop It)
AI agents leak data through prompt injection, over-permissioned tools, and shadow actions. Learn the root causes and how to prevent data leakage in agentic AI.
2026-05-19article
EU AI Act Readiness: Why Most Companies Are Underprepared
Early data from Turbotic's EU AI Act assessment reveals 89% of respondents are SMEs — and most lack governance, risk classification, or documentation. Here's what that gap will cost you.
2026-05-16article
AI Agent Security: How to Prevent Data Leakage and Unauthorized Actions
Everything enterprises need to know about securing AI agents — data leakage, unauthorized actions, real-time control, and compliance. The definitive guide.
2026-03-22note
Why Observability Fails for Autonomous Systems
Observability captures what happened. It does not model what will happen. A critical gap for agent governance.
2026-03-15analysis
Near-Violation Detection in Practice
Detecting policy boundary proximity before failure occurs. Methods, thresholds, and uncertainty handling.
2026-03-08note
Policy vs Behavior: Where Systems Break
Static policies assume predictable behavior. Agent systems violate this assumption continuously.
2026-02-28paper
Semantic Telemetry: Beyond Structured Logging
Transforming raw execution traces into behavioral meaning. Architecture and implementation patterns.
2026-02-14whitepaper
Uncertainty Quantification in Agent Control
Explicit uncertainty modeling as a prerequisite for reliable intervention decisions.
2026-02-01analysis
Approval Workflows Under Time Pressure
Designing human-in-the-loop gates that scale without becoming bottlenecks.
2026-01-20whitepaper
The Decision Engine: Architecture Overview
How Intellicor determines when, how, and whether to intervene in agent behavior.
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