AWS AI Security – Protecting AI/ML Workloads
Yash Technologies · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
AI/ML workloads bring unique risks — from sensitive data exposure to adversarial misuse.
YASH Technologies’ **AWS AI Security** solution protects the **entire AI lifecycle** — data ingestion, model training, inference, and deployment — using **AWS-native services** (SageMaker, IAM, KMS, GuardDuty, Macie, CloudTrail) and AI agents.
Show the rest of the publisher’s description (14 more lines)
**Our AI Security Advisory delivers:**
- Threat modeling for AI pipelines
- Secure data handling & encryption
- Identity & access controls for model endpoints
- Continuous monitoring for leaks & misuse
- Compliance mapping with HIPAA, ISO 27001, NIST AI RMF
- Automation with AI agents for faster remediation
With YASH, enterprises can innovate responsibly with AI on AWS — safeguarding sensitive data, ensuring compliance, and reducing risk exposure.
**Key Benefits:**
- End-to-end AI/ML pipeline security on AWS
- Protection of sensitive training data & model IP
- Automation using AI agents
- Compliance with HIPAA, ISO 27001, NIST AI RMF
- Seamless AWS-native integration
Highlights
Highlighted by the publisher on AWS Marketplace.
Secure AI/ML Lifecycle – SageMaker + IAM + KMS for lifecycle protection
Threat Detection – GuardDuty, Macie, CloudTrail for anomaly detection
Responsible AI – Compliance alignment with HIPAA, ISO 27001, NIST AI RMF
Agent build and provenance
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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.
Sources
Linked repositories
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