What does this research mean for the field?

SHV-Bench provides a rigorous, two-sided benchmark protocol and task corpus for evaluating the containment-capability trade-off of AI cybersecurity agents. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

Specify a formal, preregistered benchmark protocol and task corpus to evaluate whether containment mechanisms reduce unauthorized agent actions without impairing authorized vulnerability-discovery capabilities.

August 24, 2026Open Access

SHV-Bench: A Containment-Capability Trade-Off Benchmark for Structural Honesty Verification -- Successor Protocol and Task Corpus Design

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Authors

BABilal Syed Arfeen

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Implication

Protocol paper specifies a two-sided evaluation benchmark for AI cybersecurity agents, establishing formal criteria to verify containment safety without sacrificing vulnerability discovery.

Key Points

Specify a formal, preregistered benchmark protocol and task corpus to evaluate whether containment mechanisms reduce unauthorized agent actions without impairing authorized vulnerability-discovery capabilities.
Defines a paired Condition A/B counterbalanced evaluation design across a normative corpus of 1,673 CISA Known Exploited Vulnerabilities entries with a fixed target sample size of N = 800.
Implements a permutation-based conditional Wilcoxon signed-rank test targeting simulation-based joint power >= 80% with a fixed noninferiority capability margin of delta = 0.05.
Freezes evaluation harnesses, 7 conservative imputation metrics, and 12 falsification conditions under SHA-256 hash-bound companion manifests prior to execution.
Reports no empirical results, instead formalizing an 8-rule precedence decision mapping requiring simultaneous passage of unauthorized effect reduction and capability noninferiority.
Predefines five primary classification outcome labels alongside explicit non-passing criteria including UNSCORABLE, RUN-INVALID, and UNDERPOWERED states.

Cite This Study

Bilal Syed Arfeen (2026) studied this question.

synapsesocial.com/papers/6a8c009fbca056c88e6df68f https://doi.org/10.5281/zenodo.22062096

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Implication

Protocol paper specifies a two-sided evaluation benchmark for AI cybersecurity agents, establishing formal criteria to verify containment safety without sacrificing vulnerability discovery.

SHV-Bench: A Containment-Capability Trade-Off Benchmark for Structural Honesty Verification -- Successor Protocol and Task Corpus Design

Discussion

Member takes

Implication

Key Points

Cite This Study

SHV-Bench: A Containment-Capability Trade-Off Benchmark for Structural Honesty Verification -- Successor Protocol and Task Corpus Design

Discussion

Member takes

Implication

Key Points

Cite This Study

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