# Rethinking Tamper-Evident Logging: A High-Performance, Co-Designed Auditing System

arXiv: https://arxiv.org/abs/2509.03821 · HTML: https://mlsanity.com/paper/2509.03821/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Sep 2025.

## Built on by (most cited first, 4 of 4)

- [Trusted AI Agents in the Cloud](https://mlsanity.com/paper/2512.05951/) (2025)
- [Agent Flight Recorder: Tamper-Evident Audit Trails with On-Chain Anchoring for Long-Horizon Tool-Using Agents](https://mlsanity.com/paper/2609.01931/) (2026)
- [Agent Harness Distillation: Inference-Time Harness Extraction and Exploitation in Autonomous Multi-Agent Systems](https://mlsanity.com/paper/2607.28147/) (2026)
- [The Acknowledgment Point Is the System: Durable Policy-Decision Receipts for AI Audit Evidence](https://mlsanity.com/paper/2608.17176/) (2026)

## Abstract (arXiv)

Existing tamper-evident logging systems suffer from high overhead and severe data loss in high-load settings, yet only provide coarse-grained tamper detection. Moreover, installing such systems requires recompiling kernel code. To address these challenges, we present Nitro, a high-performance, tamper-evident audit logging system that supports fine-grained detection of log tampering. Even better, our system avoids kernel recompilation by using the eBPF technology. To formally justify the security of Nitro, we provide a new definitional framework for logging systems, and give a practical cryptographic construction meeting this new goal. Unlike prior work that focus only on the cryptographic processing, we codesign the cryptographic part with the pre- and post-processing of the logs to exploit all system-level optimizations. Our evaluations demonstrate Nitro's superior performance, achieving 10X-25X improvements in high-stress conditions and 2X-10X in real-world scenarios while maintaining near-zero data loss. We also provide an advanced variant, Nitro-R that introduces in-kernel log reduction techniques to reduce runtime overhead even further.
