Responsible AI Data Privacy Automation
Mphasis · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
This solution uses a finetuned Phi3.5 small Language Model (SLM) to identify sensitive information, that support redaction decisions which are grounded in document semantics. The system produces a redacted document and a rule trace that support audit of privacy compliance and validation by the reviewer. This solution takes as input the original document from user (that need sensitive data redaction) and a list of rules according to which the user wants to redact information. The input document content is chunked into smaller paragraphs and the rules are reasoned over the respective paragraph to redact the sensitive information. The solution output a final redacted document combining all the chunks into a single document and gives explanation for redaction. It helps organization to protect sensitive information and enable them to adhere to various Regulatory frameworks like GDPR, HIPPA etc.
Highlights
Highlighted by the publisher on AWS Marketplace.
A unique and easy-to-use solution for user defining, identifying and redacting any type of sensitive information in a document using a carefully finetuned phi-3.5 model. This solution protects the sensitive information organization data and enables them to adhere to various regulatory frameworks like GDPR, HIPPA etc. The relevant metrics to evaluate the performance of redaction with respect to privacy attacks are presented enabling data officers to quantify the data privacy.
With the increase in digitization of personal and corporate communication, the automatic sanitization of textual data has become a crucial component to ensure data privacy and compliance at scale. Our finetuned SLM model automate this process of redaction and attack privacy by using a rule reasoning-based text sanitization. This solution involves minimum manual intervention and can handle high volume data redaction incurring reduced cost of redaction.
Mphasis DeepInsights is a cloud-based cognitive computing platform that offers data extraction & predictive analytics capabilities. Need Customized Deep learning and Machine Learning Solutions? Get in Touch!
Agent build and provenance
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Compliance
- 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
Plans and pricing as listed
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Refund terms
As stated by the publisher on AWS Marketplace.
We do not have any refund policy
Sources
Linked repositories
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.
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.