← Back to the registry
Agent passport

Evidence-First AI Stacks Retrofit and Alignment

Latent-Sense Technologies Inc · Cybersecurity & IT

No attestation published

Certification per AWS Marketplace.

Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownProfessional service
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

This solution injects evidence capture, causal tracing, and contradiction detection into existing AI pipelines and stacks. It works as a middleware layer that intercepts inputs and outputs, enriching them with structured provenance metadata and reasoning validation. The pipelines and stacks retrofit is minimally invasive and compatible with existing architectures, including LLM-based systems and rule-based engines. It improves auditability, reduces hallucination risk, and enhances trust in outputs.

Highlights

Highlighted by the publisher on AWS Marketplace.

Evidence-First AI Retrofit for Traceable & Auditable Systems: Transform existing AI stacks into evidence-driven, traceable systems without a full rebuild, improving transparency and trust in outputs.

Reduce Hallucinations with Evidence-Driven Validation: Inject evidence capture, causal tracing, and contradiction detection into AI pipelines to minimize hallucination risk and improve reasoning reliability.

Seamless Middleware Integration with Existing AI Stacks: Deploy a minimally invasive retrofit compatible with LLM-based and rule-based systems, enhancing auditability and performance without disrupting current architectures.

Agent build and provenance

See the full provenance

The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.

Create a free account

Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Vendor

External enrichment · as of 2026-08-29

Websitehttps://www.latentsense.com/

Sources

Marketplace listingaws.amazon.com ↗Source
App certificationaws.amazon.com ↗Source

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Unknown
Not stated
Delivery
Professional service
For assistance with the Evidence-First AI Stacks Retrofit, customers can contact our support team through the following channels: * Email: support@latentsense.ai * Website: https://www.latentsense.ai LatentSense provides dedicated support throughout the retrofit process, ensuring seamless integration, minimal disruption, and measurable improvements in AI reliability and auditability. Support includes: * Engagement Onboarding & Scoping: Alignment on existing AI architecture, integration points, and retrofit objectives * Implementation Support: Guidance during deployment of middleware for evidence capture, causal tracing, and contradiction detection across AI pipelines * Validation & Testing Support: Assistance in verifying traceability, evaluating hallucination reduction, and ensuring correct propagation of provenance metadata * Findings & Optimization Sessions: Review of system behavior post-retrofit, with recommendations to further improve reliability, transparency, and performance * Post-Deployment Support: Follow-up assistance for tuning, scaling, and maintaining evidence-driven AI capabilities Our team typically responds to inquiries within 1 business day, with priority support for active engagements. Expedited support is available for time-sensitive deployments. Ongoing advisory and enhancement services are available upon request.
Open the source listing ↗

Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.