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Secure AI on AWS Health Check

Accenture · 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.

Organizations racing to deploy Amazon Bedrock agents and AI workloads face a critical gap: they need AI infrastructure security but lack enterprise-scale security teams. The Secure AI on AWS Health Check closes that gap with a repeatable, 1-week AI infrastructure assessment transacted directly via AWS Marketplace.

### What We Deploy (Stays in Your Environment)

Show the rest of the publisher’s description (18 more lines)
  • **AWS Security Agent:** Web application and agent spaces deployed per account with Accenture-framework-based custom security requirements and AWS-managed requirements. Security Agent remains deployed post-engagement, enabling your teams to continuously run security design reviews, code reviews, penetration tests, and threat modeling against your AI infrastructure.
  • **AWS Config:** Accenture-framework-based Secure AI Config conformance pack and AWS-managed secure AI conformance packs deployed, providing real-time AI infrastructure configuration monitoring feeds for existing Security Hub CSPM deployments.
  • **Remediation Roadmap Infrastructure:** S3 bucket with KMS encryption for centralized findings storage and an AgentCore agent for remediation roadmap generation (partially manual until AWS APIs are released).

### Engagement Workflow:

**Step 1 – Requirements Gathering:** Determine scope (AWS accounts, required agent spaces, repos), review AI infrastructure security requirements, gather design documentation, enable deployment team access to AWS and repository.

**Step 2 – Deployment:** Via CI/CD, create Security Agent spaces, set up user access via IAM/SSO, integrate with supported repositories, add security requirements, and deploy conformance packs.

**Step 3 – Findings Generation:** Run initial AI infrastructure design and code reviews, gather and centralize findings, evaluate via Accenture agentic tooling.

**Step 4 – Reporting:** Create aggregated AI infrastructure remediation roadmap, generate insights and recommendations, conduct readout with stakeholders, knowledge transfer on Security Agent and conformance pack usage.

### Customer Outcomes

  • AWS Security Agent deployed and yours to keep—enabling continuous security design reviews, code reviews, and penetration testing of your AI infrastructure
  • Accenture-framework and AWS-managed security requirements active per account
  • AWS Config secure AI conformance packs deployed for persistent AI infrastructure monitoring
  • Aggregated findings report with prioritized remediation roadmap
  • Clear path to Foundational Guardrails and AgentCore Accelerator (2-week follow-on)

### AI Infrastructure Focus

This engagement specifically assesses the security posture of your AI infrastructure: Amazon Bedrock configurations, agent architectures, model access controls, and supporting AWS services. Assessment maps to Accenture's 10-dimension Secure AI Framework aligned with NIST AI RMF, OWASP LLM Top 10, OWASP ASI threat categories, and AWS Defense in Depth for AI.

### AWS Services Activated

Security Agent, AWS Config (conformance monitoring), Bedrock AgentCore (AI workload context), S3, IAM, CloudWatch Logs, KMS (infrastructure support)

Highlights

Highlighted by the publisher on AWS Marketplace.

AI infrastructure assessment with persistent tooling: AWS Security Agent spaces deployed with Accenture-framework and AWS-managed security requirements that stay in your environment post-engagement, enabling your teams to continuously run security design reviews, code reviews, penetration tests, and threat models against Bedrock agents and GenAI workloads. Includes design review infrastructure with KMS-encrypted S3 ingestion for ongoing security documentation analysis.

Real-time AI infrastructure compliance: AWS Config Secure AI Config conformance pack provides persistent monitoring of your AI infrastructure via existing security infrastructure.

Framework-anchored AI security: 10-dimension Accenture Secure AI Framework assessing Bedrock configurations, agent architectures, and model access controls - aligned to NIST AI RMF, OWASP LLM Top 10, OWASP ASI threat categories, and AWS Defense in Depth for AI. Delivers actionable remediation roadmap.

Agent build and provenance

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Vendor

External enrichment · as of 2026-07-17

CompanyAccenture plcAutomated
HQIrelandAutomated
IndustryTechnologyAutomated
Websitehttps://www.accenture.com/gb-en

Sources

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

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
Contact Supplier for Support - acn.apn@accenture.com
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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.