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DeepKeep Automated AI Red Teaming

DeepKeep · Cybersecurity & IT

No attestation published

Certification per AWS Marketplace.

Provenance reach4 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownSaaS
ProvenanceUnknown44% 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.

DeepKeep's Automated AI Red Teaming helps organizations expose GenAI vulnerabilities across custom AI apps and AI models, through continuous context-aware attack simulation and remediation. It tests both models and custom AI applications to uncover security and trust failures such as prompt injection, data leakage, hallucinations and fairness issues. Findings are prioritized, reproducible and enriched with root-cause analysis and remediation playbooks that guide teams toward concrete fixes.

Key capabilities include:

Show the rest of the publisher’s description (7 more lines)
  • Adversarial scenario generation to simulate realistic, real-world attack patterns.
  • Dynamic multi-turn probing to expose deeper vulnerabilities beyond single-shot testing.
  • Trust and quality evaluations to assess reliability and fairness alongside security.
  • Root-cause analysis that identifies underlying weaknesses and provides targeted mitigation steps.
  • Continuous operation with scheduled tests, CI/CD integration and event-driven re-scans.
  • Bring Your Own Dataset to evaluate vulnerabilities against real business scenarios.

By combining these capabilities, DeepKeep enables security, engineering and AI teams to continuously test, harden and validate their GenAI systems, reducing the attack surface and strengthening trust in production AI.

Highlights

Highlighted by the publisher on AWS Marketplace.

Context-aware red teaming

Root-cause analysis to pinpoint weaknesses and risks

Bring your own dataset

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.

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

CompanyDeepKeepAutomated

Plans and pricing as listed

1 listed
License
  • Units
$1,000,000.00
P12M

Refund terms

As stated by the publisher on AWS Marketplace.

no refund

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource
StandardEulaStandardEulaSource

Publisher resources

2 links
See product videoyoutu.beSource
Documentationdocs.deepkeep.aiSource

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
Paid
1 plan listed
Delivery
SaaS
Documentation: https://docs.deepkeep.ai support@deepkeep.ai
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.