CUSTOS: Toward Forensic-Ready Zero Trust at the Capture-Containment Boundary
- URL: http://arxiv.org/abs/2608.17068v2
- Date: Wed, 19 Aug 2026 18:00:50 GMT
- Title: CUSTOS: Toward Forensic-Ready Zero Trust at the Capture-Containment Boundary
- Abstract summary: CUSTOS is a forensic-ready ZT reference architecture centered on a Forensic Management Point (FMP)<n>An always-on decision record is captured and hash-chained on the gateway at a 1.9-3.0% throughput cost.<n>Results show that forensic-ready ZT requires both an always-on evidentiary floor and bounded reactive capture.
- Score: 1.1458853556386797
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Zero Trust (ZT) replaces implicit trust with continuous verification, but mutual TLS, ephemeral workloads, identity-centric control, and automated remediation reduce payload visibility, weaken IP-based attribution, and shrink the window for acquiring volatile evidence. We propose CUSTOS, a forensic-ready ZT reference architecture centered on a Forensic Management Point (FMP) that coordinates tiered capture, identity- and policy-linked reconstruction, telemetry orchestration, and ZT-controlled investigative access. We evaluate a composed, component-level prototype using a live enforcement gateway plus separate runtime and orchestrator experiments. An always-on decision record is captured and hash-chained on the gateway at a 1.9-3.0\% throughput cost on in-process policy engines, preserving decision provenance outside the monitored workload under stated trust assumptions. Reactive checkpointing (about 65 ms) precedes seconds-scale defender-routed eviction but loses to unsequenced direct SIGKILL (about 9 ms), in-kernel enforcement, and adversarial self-destruction, producing the forensic shredder effect. On a real container, concurrent capture and SIGKILL recovered the planted secret in 0/1000 trials; sequencing SIGKILL behind the FMP barrier recovered it in 1000/1000. The primary integrated single-node Kubernetes race checkpoints an FMP-controlled process; container-memory capture is evaluated separately and was unavailable in the managed-Kubernetes configuration. Across five public benchmark datasets and a synthetic schema reference, identity-oriented telemetry populates 64-75\% of the decision-record schema against 18-30\% for network-oriented, while rate limiting bounds the full-memory admission ceiling. These results show that forensic-ready ZT requires both an always-on evidentiary floor and bounded reactive capture, while identifying where volatile evidence remains unrecoverable.
Related papers
- ZK-Trace: Certified Collusion Tracing with Zero-Knowledge Credentials for Federated GNSS Interference Monitoring [2.611390035495907]
ZK-Trace combines public identity marks, recipient-specific Tardos fingerprints, and zero-knowledge credential verification.<n> registry supports offline tracing without the leaker's cooperation.
arXiv Detail & Related papers (2026-09-08T14:00:29Z) - Zero-Knowledge Predicate Proofs Between AI Agents: A Measured, Cross-Protocol Gateway and the Source-Integrity Gap [0.0]
Multi-agent AI platforms move quickly from staging to production, but the way agents establish trust remains rudimentary.<n>We take provable data minimisation between agents from proposal to running system.<n>A 32-bit threshold predicate proves in 6.2 ms and verifies in 1.0 ms with a 608-byte Bulletproofs proof.
arXiv Detail & Related papers (2026-08-30T23:16:17Z) - $Z^2$-ACT: End-to-End Verifiable Agentic Intent Control for Open 6G RAN [43.15181031994434]
We propose a zero-knowledge auditable control and zero-trust verifiable agentic intent architecture.<n>A live large language model is used in the non-real-time path to translate operator intents into Intent Contracts.<n>Results indicate improved actuation filtering and attack resilience at modest latency and signaling cost.
arXiv Detail & Related papers (2026-08-21T12:44:03Z) - Beyond Suspicious Steps: Ontological Trust in Long-Horizon Agents [13.208673657449175]
We introduce ontological trust, a task-conditioned property of trajectory prefixes, and instantiate it as RGE.<n>RGE decomposes trust along Role, Goal, and Evidence.<n>We construct a cross-domain trajectory corpus from OSWorld, FinanceBench, and EICU-AC.
arXiv Detail & Related papers (2026-08-18T12:44:43Z) - Integration-First Structural Coverage for Embedded Software:Trace-Based Evidence, Hybrid Runtime Analysis, and Cross-Variant Consolidation [42.52742840006677]
We describe an integrationfirst coverage strategy that treats integration and system tests as the baseline measurement.<n>We also describe Hyper Coverage, a consolidation layer that merges evidence across test levels, test runs, variants and build configurations.
arXiv Detail & Related papers (2026-08-13T14:46:33Z) - SCOUT: Symmetric Consensus Outlier Detection for Failure Localization in LLM Pre-Training [7.018753691717986]
In pre-training, synchronization propagates rank-local stalls, slowdowns, and numerical errors into job-wide symptoms, obscuring their origin.<n>We present SCOUT, a unified runtime failure-localization framework built on one design principle: identify outliers through strict-majority consensus among equivalent replicas.<n>SCOUT integrates with PyTorch, TorchTitan, Megatron-Core, and DeepSpeed without training-loop or framework-source modifications.
arXiv Detail & Related papers (2026-08-11T15:12:14Z) - Agentic Permissions Policy Algebra for Taint Confinement in LLM Agents [0.0]
Traditional taint tracking permanently taints an agent's context upon reading unvetted data.<n>We present APPA, an IFC framework that resolves this usability bottleneck through engine-managed context branching.<n>We evaluate APPA on a multi-turn tool-chaining benchmark across four models.
arXiv Detail & Related papers (2026-07-27T16:19:45Z) - PhyAgentOS: A Self-Evolving Operating System for Embodied Agents with Decoupled Cognitive Planning and Physical Execution [49.776611937968]
We present PhyAgentOS, a foundation delivering scheduling, verification, memory, benchmarking, and safety as system-level services.<n>Its Session-Centered treats a session, not an action, as the minimum unit of scheduling, compatibility, supervised execution, evidence collection, and acceptance.<n>SessionVerifier distinguishes execution termination from semantic task completion via evidence-grounded verdicts of success, failure, or replan.<n> Benchmarking reuses the deployment session and verification path, so results trace to real execution.
arXiv Detail & Related papers (2026-07-18T04:46:53Z) - CIAware-Bench: Benchmarking Control Intervention Awareness Across Frontier LLMs [100.38986535324284]
We introduce textbfCIAware-Bench, a benchmark for measuring textbfcontrol textbfintervention (CI) awareness across frontier models.<n>CIAware-Bench tests whether models can distinguish their own trajectories from those modified by a control intervention.
arXiv Detail & Related papers (2026-06-09T16:24:16Z) - EnclaveScale: Hardware-Assisted Edge-DP for Secure Data Centre Power Telemetry [4.51092676390934]
EnclaveScale is a distributed, hardware-assisted telemetry architecture providing post-extraction attestation.<n>We implement and evaluate a post-extraction pipeline utilizing DCAP, differential privacy noise injection, and Byzantine rejection.<n>E EnclaveScale achieves a dynamic orchestration margin error of $1.3$, compared to $0.1$, for an honest-aggregator central-DP baseline.
arXiv Detail & Related papers (2026-06-08T07:55:57Z) - WISV: Wireless-Informed Semantic Verification for Distributed Speculative Decoding in Device-Edge LLM Inference [56.297697169678095]
WISV (Wireless-Informed Semantic Verification) is a novel distributed speculative decoding framework.<n>We show that WISV achieves up to a 60.8% increase in accepted length, a 37.3% reduction in interaction rounds, and a 31.4% improvement in end-to-end latency.<n>We validate WISV on a hardware testbed comprising an NVIDIA Jetson AGX Orin and an A40-equipped server.
arXiv Detail & Related papers (2026-04-20T01:29:56Z) - ElephantBroker: A Knowledge-Grounded Cognitive Runtime for Trustworthy AI Agents [45.88028371034407]
ElephantBroker is an open source cognitive runtime that unifies a Neo4j knowledge graph with a Qdrant vector store.<n>The system implements a complete cognitive loop (store, retrieve, score, compose, protect, learn) comprising a hybrid five source retrieval pipeline.
arXiv Detail & Related papers (2026-03-26T07:03:12Z) - A TEE-Based Architecture for Confidential and Dependable Process Attestation in Authorship Verification [0.0]
We present the first architecture for continuous process attestation evidence collection inside Trusted Execution Environments (TEEs)<n>We provide hardware-backed tamper resistance against trust-inverted adversaries with graduated input assurance from software-channel integrity (Tier 1) through hardware-bound input (Tier 3)<n>We introduce a resilient evidence chain protocol maintaining chain integrity across TEE crashes, network partitions, and enclave migration.
arXiv Detail & Related papers (2026-02-26T20:17:52Z) - Lazy Layers to Make Fine-Tuned Diffusion Models More Traceable [70.77600345240867]
A novel arbitrary-in-arbitrary-out (AIAO) strategy makes watermarks resilient to fine-tuning-based removal.
Unlike the existing methods of designing a backdoor for the input/output space of diffusion models, in our method, we propose to embed the backdoor into the feature space of sampled subpaths.
Our empirical studies on the MS-COCO, AFHQ, LSUN, CUB-200, and DreamBooth datasets confirm the robustness of AIAO.
arXiv Detail & Related papers (2024-05-01T12:03:39Z) - Uncertainty-aware Unsupervised Multi-Object Tracking [33.53331700312752]
unsupervised multi-object trackers are inferior to learning reliable feature embeddings.
Recent self-supervised techniques are adopted, whereas they failed to capture temporal relations.
This paper argues that though the uncertainty problem is inevitable, it is possible to leverage the uncertainty itself to improve the learned consistency in turn.
arXiv Detail & Related papers (2023-07-28T09:03:06Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.