
Cryptographic evidence layer for AI agent actions
By Tanmay Verma, Founder · Last verified 03 Jul 2026
In short
asqav — Cryptographic evidence layer for AI agent actions. Best for Compliance officers auditing AI agent deployments, Security teams enforcing AI governance policies, Developers building agentic workflows requiring audit trails. Free to use.
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Asqav offers a unique cryptographic approach to AI agent governance, filling a gap left by traditional logging. Its focus on verifiable, portable receipts makes it a strong choice for regulated industries, though the complexity may be overkill for casual use.
Last verified: July 2026
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
2 mentions across 1 source (Bluesky).
How likely is asqav to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Asqav provides cryptographic proof for every action an AI agent performs, creating tamper-evident receipts that can be verified by anyone. It is designed for organizations that need to demonstrate compliance with regulations such as the EU AI Act, DORA, and NYDFS. The service signs agent actions at the moment they occur, recording intent, policy decision, execution, and a chain of prior actions. Unlike traditional logging, Asqav's receipts are portable, verifiable offline, and structured in regulator-ready formats. It also includes policy enforcement, guardrails, and incident management, integrating with popular AI frameworks like LangChain, CrewAI, and n8n. Key features include post-quantum ML-DSA-65 signing, offline verification via public key directory snapshots, and IETF-standard compliance receipts. The TypeScript SDK is now live, and the CLI lets you try it in 30 seconds. Governance metadata can be embedded in A2A Agent Cards, and receipts can be exported as COSE_Sign1 for SCITT transparency services. Unlike conventional logging or monitoring tools, Asqav focuses on portable, verifiable evidence rather than siloed audit logs. It fills a unique niche for regulated industries needing provable AI governance.
Asqav is purpose-built for one thing: making AI agent actions provably tamper-evident. If you're in a regulated industry facing the EU AI Act, DORA, or NYDFS, this is likely the most mature option available. The post-quantum ML-DSA-65 signing, offline verification, and IETF draft compliance receipts show serious engineering depth. When should you pick Asqav? When you need to prove to a regulator or auditor exactly what an AI agent did, in a format that's portable and verifiable offline. The 30-second CLI demo is a nice touch for evaluation. The TypeScript and Python SDKs make integration straightforward for developers. Where it bites: this is overkill for teams that just need basic logging. If you're not subject to compliance requirements, the cryptographic overhead adds complexity without benefit. It's also a third-party service, which may pose concerns for air-gapped environments (though offline verification mitigates this). Compared to alternatives like standard logging (e.g., ELK stack), Asqav provides actual evidence, not just logs. For compliance-driven use cases, that's a decisive advantage. For everyone else, it's extra baggage.
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