AcquireBound: Runtime Authorization for Resources Acquired by AI Agents
- URL: http://arxiv.org/abs/2609.14744v1
- Date: Sun, 13 Sep 2026 19:16:44 GMT
- Title: AcquireBound: Runtime Authorization for Resources Acquired by AI Agents
- Abstract summary: Post-fulfillment activation gap spans tool-mediated creation, inter-agent delegation, and agentic commerce.<n>We present AcquireBound, a provenance-bounded runtime authorization architecture.<n>We prove eight safety properties covering quarantine, backing, non-amplification, split non-evasion, crash/retry, refunds, epochs, and effect confinement.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: By acquiring compute, credentials, accounts, services, and other agents, autonomous AI agents can introduce new authority into a task. Payment, budget, OAuth, mandate, and fulfillment checks can validate transaction conditions without deciding whether a returned resource may become usable authority. This post-fulfillment activation gap spans tool-mediated creation, inter-agent delegation, and agentic commerce. We present AcquireBound, a provenance-bounded runtime authorization architecture. It quarantines acquired outputs, resolves their actual capabilities from authenticated provider evidence through a versioned resolver, and activates them only through a current activation transaction that checks the resolved manifest, provenance, epochs, and a downward-closed relational envelope over a typed resource-capability hypergraph. The envelope preserves correlated identity, effect, data, delegation, and graph-wide limits. Single-use effect permits are revalidated and consumed at effect linearization. Under explicit assumptions, we prove eight safety properties covering quarantine, backing, non-amplification, split non-evasion, crash/retry, refunds, epochs, and effect confinement. Across five resource classes, reference semantics accepted 20/20 benign traces and rejected 40/40 registered unsafe traces over 810 events; an independent checker agreed on 60 base and 40 refinement traces and rejected 89/89 tamper tests. Frozen Codex and Gemini Model Context Protocol (MCP) client components completed 54/54 deterministic local stdio calls. In a registered 18-case staged MCP-to-Docker composition, both benign paths completed, and none of the 16 unsafe paths added an unauthorized Docker start request. A five-source audit classified 1,248 field pairs across 32 units; no unit alone supplied a complete activation profile.
Related papers
- Versioned Transitive Dependency-Closure Binding and Operation-Time Effect Governance for Agent Skills: ClosureBound [4.805352087824778]
ClosureBound binds an exact closure root, effect ceiling, purpose/provenance, validity, and epochs.<n>It re-resolves closure and state, normalizes the operation into an external-effect IR, and admits it only if a joint witness satisfies every bound.<n>A lexical audit of 549 public Skills finds that 21 of 526 roots with bundled files name every non-manifest path verbatim, 67 contain links resolving outside their roots, and no root declares a frontmatter dependencies field.
arXiv Detail & Related papers (2026-09-05T06:27:52Z) - AgentProv: Auditing Agentic LLM API Providers via Tool-use Policy Probes [38.37599802008238]
Commercial LLM APIs advertise a specific foundation model, but the served backbone may be silently substituted, quantized, or wrapped.<n>All existing audits decide backbone identity from the text-output channel.<n>We introduce Agentic Provenance (AgentProv), the first action-based identity audit for agentic LLM APIs.
arXiv Detail & Related papers (2026-08-30T08:22:12Z) - Task-Conditioned Least-Privilege Learning for Executable Terminal and MCP Agents [45.88028371034407]
Tool-using large language-model agents can complete a task while exercising authority that the user did not grant or the task does not need.<n>We propose a framework where each action is audited before execution and again from observed effects along six dimensions of risk.<n>We find that after training using this framework on Qwen3.5-4B over 1,500 tasks, the selected seed reaches 98.48% safe success across 2,896 evaluation episodes.
arXiv Detail & Related papers (2026-08-18T22:07:23Z) - AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Penetration Agents [29.81912218748482]
Large language model (LLM) agents automate penetration testing through an observation-action loop.<n>Current defenses rely heavily on static, isolated artifacts planted in the environment prior to an attack.<n>AgentSnare dynamically unfolds a decoy environment to continually steer the penetration agent away from the real target.
arXiv Detail & Related papers (2026-07-29T14:56:31Z) - Looping Is Not Reliability: State-Bound Evidence and Typed Revision Contracts for Agentic Code Repair [36.56438114281786]
We study the gap between finding a correct patch and retaining, verifying, and submitting it.<n>We derive an evidence-bound typed loop contract and instantiate its mechanically enforceable subset in a reference implementation.
arXiv Detail & Related papers (2026-07-27T16:05:23Z) - A Decision-Centered Reference Architecture for Trustworthy Agentic Commerce [0.0]
Agentic commerce extends agentic shopping into software agents that interpret policy, prepare checkout, generate transaction-facing language, and act under delegated payment authority.<n>This study presents a protocol-agnostic architecture built around a canonical envelope, protected dependency and result, Ed25519 or HMAC authentication, live-request rebinding, a seven-axis generated-claim gate, execution-time dependency revalidation, and eleven semantic invariants.
arXiv Detail & Related papers (2026-07-20T08:33:31Z) - Lingering Authority: Revocable Resource-and-Effect Capabilities for Coding Agents [0.0]
PORTICO is a reference monitor for capabilities exposed to the planner.<n>It compiles an explicit task contract into initial capabilities, grant rules, trusted closure predicates, and global deny rules.
arXiv Detail & Related papers (2026-06-21T13:52:37Z) - Sovereign Execution Broker: Enforcing Certificate-Bound Authority in Agentic Control Planes [2.124730017640531]
Sovereign Execution Broker (SEB) is a runtime enforcement boundary for certificate-bound agentic infrastructure.<n>By separating proposal, admission, and execution, SEB turns certified authority into a short-lived, auditable runtime capability.<n>We present the SEB execution model, certificate and replay-verification predicates, scoped identity semantics, bypass-prevention deployment patterns, failure behavior, and a concrete prototype implementation.
arXiv Detail & Related papers (2026-06-18T17:36:46Z) - Hallucination as Exploit: Evidence-Carrying Multimodal Agents [10.441697487723568]
Multimodal agents increasingly choose tool calls from screenshots, documents, and webpages, where a false perceptual claim can turn from an answer-quality error into an authorization failure.<n>We propose evidence-carrying multimodal agents (ECA), which treat free-form model text as inadmissible evidence.<n>ECA converts opaque model belief into auditable residuals at the verifier, schema, and implementation levels.
arXiv Detail & Related papers (2026-05-18T23:40:43Z) - Distributional Energy-Based Models for Uncertainty-Aware Structured LLM Reasoning [40.342912574072024]
Large Language Models produce structured outputs such as travel plans or code solutions.<n>Individual reasoning steps may appear correct while the output as a whole violates budgets, fails test cases, or contradicts earlier deductions.<n>We propose a learned quality scorer with deterministic analytical constraint penalties for verifying structured LLM outputs.
arXiv Detail & Related papers (2026-05-15T17:08:27Z) - TxRay: Agentic Postmortem of Live Blockchain Attacks [52.658018348998105]
Within five years, the DeFi ecosystem has lost over 15.75B USD to reported exploits.<n>We present TxRay, a postmortem system that reconstructs live ACT attacks from limited evidence.<n>On 114 incidents from DeFiHackLabs, TxRay produces an expert-aligned root cause and an executable PoC for 105 incidents, achieving 92.11% end-to-end reproduction.
arXiv Detail & Related papers (2026-02-01T16:17:33Z) - SmartSnap: Proactive Evidence Seeking for Self-Verifying Agents [45.71333459905404]
SmartSnap is a paradigm shift from passive, post-hoc verification to proactive, in-situ self-verification by the agent itself.<n>We introduce the Self-Verifying Agent, a new type of agent designed with dual missions: to complete a task and to prove its accomplishment with curated evidences.<n>Experiments on mobile tasks across model families and scales demonstrate that our SmartSnap paradigm allows training LLM-driven agents in a scalable manner.
arXiv Detail & Related papers (2025-12-26T14:51:39Z)
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.