Azure AI Content Safety vs. SailPoint Identity Security Cloud

Azure AI Content Safety is used for our comment analysis red flag comment process to separate most vulgar, unparlimentary words used in comments and comments which is not safe. Also, the comment contains sexuality, harassment, terrorism, and unwanted content, and things to protect and store in our PostgreSQL pgAdmin database and send as a report to clients for the product safety, and not to bring it to the frontend.

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As discussed in previous sections, it does integrate well with other systems, and basic JML works well; it's very powerful and customizable in these areas (though also complex). The downsides are in areas like access reviews, where it's less customizable (no way to automatically send a review to the owner for a set of access items; each review needs an individual to be selected for it).

Incentivized

Invited by TrustRadius (TR) on Vendor's Behalf

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Azure AI Content Safety correctly finds the unparlimentary words maximum.
• Azure AI Content Safety endpoint and api is easy to create from Azure portal and integrate with our code
• Azure AI Content Safety can do things which Azure AI Foundry model can't do

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Brings users access, profiles and accounts all into one place
• Manages the Life Cycle Management process across ALL identities, permanent and Temporary
• Secures and manages access to critical applications and resources across the group
• Enables Info. Security to customise, share and delegate authority across the group
• Single version of the truth across our technology platform

Incentivized

Invited by the Vendor

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Azure AI Content Safety model is very costly that should be reduced
• Azure AI Content Safety sometimes, very few time couldn't handle most vulger contents that should be trained to model
• Azure AI Content Safety metrics and scalability is sometime not politely visible, which should be improved

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• The user interface is not very intuitive. It is hard for the occasional user to navigate through the request process. There are no instructions on the screen to help the user to know what to do. It is left up to the user to figure out what to click on and how to navigate through the process.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

Its a best tool for a CISO, works very well, easy to use, great connectors and integrations, great reports, automated reviews, full compliance, great support to a JML (Joiners, Movers and Leavers) project;

I have given 10 rating to Azure AI Content Safety because it meets our requirements and actually what we needed during that time to prevent the comments which contains vulgar content. No other model works good properly compared to the Azure AI Content Safety model. We have 20 lakhs comments other models didn't work for even half of it but 75% covered by Azure AI Content Safety.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

Always improving the UI, so it's getting better. Some areas are fully featured, but others, such as Separation of Duties reporting and policies, are very weak.

Incentivized

Invited by TrustRadius (TR) on Vendor's Behalf

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

Support for Customizations is very limited.

Incentivized

Invited by the Vendor

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

The first journey isn't easy because you need to win your internal process and problem concern and Sailpoint have many experience to support this phase, and make the real difference into the client experience;

Azure OpenAI Service based models like Azure OpenAI 4o models, Azure OpenAI 4o mini models and even omni models don't work properly compared to Azure OpenAI Content safety model for comment analysis of unparlimentary words protection. Also, ChatGPT OpenAI models also did the same, and the accuracy was low and errors were created. So Azure AI Content Safety stacks up against these two and so that we choose Azure AI Content Safety over others.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

The on-prem SailPoint IdentityIQ platform provides the necessary customization that is required in our dynamic environment. Although we may look at a cloud-based Identity Management service again in the future, (there are many advantages), our identity management, authentication, and application assignment processes cannot be quickly consolidated to a single cloud-based service at this time.

• One time it cost 7000 US Dollars when we ran to test, which is very costly, then we connected with the Azure team and sorted it out and got back 4000 US Dollars. This should not happen
• Azure AI Content Safety helped to find red flagged comments for lakhs of comments for our analysis
• Azure AI Content Safety prevents those comments in our product frontend and store that as report helps us a lot.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• Over 300,000 password change/reset calls avoided to the helpdesk annually.
• 1,000 plus accounts with proper accesses provisioned via automated birthright processes weekly versus 1-2 days of manual provisioning and approvals. With a call center population that churns many people per week, this brings many dollars of efficiency to the operations teams.
• Flexibility on terminations to manage accounts and access for target applications based on regulatory or business rules to ensure compliance and avoid fines for non-compliance.

Incentivized

Invited by the Vendor

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info