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    Sentra Cloud Data Security Platform

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    Sold by: Sentra 
    Deployed on AWS
    Sentra is a data security platform that helps you discover and remediate the top data security risks in your public cloud. Sentra automatically detects if sensitive data is vulnerable due to misconfigurations, over-permissioning, unauthorized access, data duplication and more.
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    Overview

    Sentra enables security teams to gain full visibility and control of data, as well as protecting against sensitive data breaches across the entire public cloud stack. By discovering where all the sensitive data is, how it's secured, and where it's going, Sentra reduces the 'data attack surface', the sum of all places where sensitive or critical data is stored or traveling to.

    Highlights

    • Immediate Value - Agentless only onboarding & quick time to value
    • Data Security Posture - aggregate cloud signals via APIs to detect gaps and risks
    • Classification - Next generation data classification and metadata analysis

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    Deployed on AWS
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    Pricing

    Sentra Cloud Data Security Platform

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (4)

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    Dimension
    Description
    Cost/12 months
    Standard
    Sentra Standard Plan
    $50,000.00
    Essential
    Sentra Essential Plan
    $100,000.00
    Advanced
    Sentra Advanced Plan
    $250,000.00
    Enterprise
    Sentra Enterprise Plan
    $500,000.00

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

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    Support

    Vendor support

    Sentra Cloud Data Security Platform support@sentra.io 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Accolades

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    Top
    10
    In Data Analysis, Observability
    Top
    10
    In Monitoring, Application Development

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
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    Overview

     Info
    AI generated from product descriptions
    Data Discovery
    Automated detection and mapping of sensitive data across public cloud environments
    Cloud Security Posture
    Aggregation of cloud signals via APIs to identify security gaps and potential risks
    Data Classification
    Advanced metadata analysis and classification of sensitive data types and attributes
    Vulnerability Detection
    Identification of misconfigurations, over-permissioning, unauthorized access, and data duplication risks
    Agentless Architecture
    Deployment mechanism that enables monitoring and analysis without requiring agent installation on individual systems
    Data Discovery
    Agentless approach for comprehensive mapping of cloud datastores across different types
    Data Classification
    Advanced classification using pattern matching and machine learning algorithms for identifying data types
    Risk Detection
    Continuous identification and contextual analysis of data-related security risks
    Visibility Mechanism
    Single integration point for comprehensive cloud data security monitoring without performance impact
    Contextual Insights
    Detailed risk context including user administration, access logs, data ownership, and remediation recommendations
    Cloud Asset Discovery
    Agentless scanning technology providing comprehensive visibility across cloud infrastructure and platform assets
    Risk Prioritization
    Advanced risk scoring mechanism that identifies and correlates potential attack paths and security vulnerabilities
    Security Integration
    Seamless integration into CI/CD processes for continuous security assessment throughout software development lifecycle
    Generative AI Analysis
    AI-powered investigation and remediation capabilities for enhanced security threat detection and response
    Multi-Domain Security Coverage
    Unified platform integrating multiple cloud security domains including CSPM, CWPP, CIEM, DSPM, container and API security

    Security credentials

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    Validated by AWS Marketplace
    FedRAMP
    GDPR
    HIPAA
    ISO/IEC 27001
    PCI DSS
    SOC 2 Type 2
    No security profile
    No security profile
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    -
    -
    -

    Contract

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    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

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    5
    1 ratings
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    0 AWS reviews
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    1 external reviews
    External reviews are from PeerSpot .
    reviewer2795433

    Cloud audits have become smoother and data risks are reduced through automated discovery

    Reviewed on Jan 14, 2026
    Review provided by PeerSpot

    What is our primary use case?

    My main use case for Sentra  is agentless data discovery. Sentra  offers the ability to identify across the entire cloud estate data which is in the wrong environments, sensitive data which is unencrypted or unobscured, and then it flags it as high risk, which allows us to remediate that, either secure the data or potentially delete the data if it's no longer necessary but poses a risk if it was compromised by an attacker. It's all around finding ghost data and then remediating the risks associated with it.

    It's a best practice that customer data or production data should never be in lower environments, and sensitive data as well. Sentra allows me to find situations such as that or, while we haven't found customer data as such, we found data that is in incorrect environments. For example, there's been test data in production systems that should be in the test environments. It's the flip way around as well. Sentra is good for identifying data such as that.

    What is most valuable?

    Something I appreciate about Sentra is it can find data across a range of different cloud services. That could be managed databases, virtual machines, containers as well, and object storage, which is great because it doesn't just look in one particular service. It looks across the entire state.

    I appreciate the feature that Sentra classifies the data with the level of risk that it believes it to be. You can tune the classifiers, which is quite useful as well, because there's the possibility that Sentra misclassifies data. It does take a bit of time to train it up, but the classification is useful because then we can prioritize which remediations to go after first.

    I would say it's not too difficult to tune the classifiers in Sentra. It does take a bit of time to do that because you're trying to train the tool to recognize company-specific data and data formats as well. But it's worthwhile doing it because then it lowers the false positive alerts that come through and it allows you to really find data which is in the incorrect places, or maybe the correct places but is no longer necessary, so should be deleted.

    Sentra has increased the security of our cloud estate. We are audited by different organizations, so maintaining good data governance and security is very important for us. It benefits us from the security standpoint directly, but also financially, it benefits us because our customers very much care about security in our systems.

    What needs improvement?

    I cannot think of any improvements, really. Sentra does what it's meant to do, finding shadow data. If the data classification feature was improved ever so slightly, maybe a little bit quicker to use, that would be good, but that's the type of thing where it's never going to be perfect anyway, so there are no real improvements that I can see with Sentra, no big ones anyway.

    The only area where I see potential for improvement is making it quicker to use the data classification section. Other than that, I haven't seen any areas where I'd want it to be improved.

    For how long have I used the solution?

    I have used Sentra for around a year.

    What do I think about the scalability of the solution?

    Sentra scales very well because it's deployed in the cloud, so it can scale very well. I understand that different clusters are needed for Sentra. We haven't run into this issue, but I understand that if the cloud estate becomes very large, you would probably have to deploy numerous of these clusters. That wouldn't be a problem as such because the infrastructure is code, we would just have to alter that in order to deploy more clusters. There are not any scalability issues, I would say.

    How are customer service and support?

    Customer support from Sentra is very good. We've interacted with them a lot. I appreciate interacting with Sentra. They're very useful and very helpful. When we've met with them, they always have numerous individuals of different personas on, a technical account manager, an account manager, an engineer, and an architect, and that's very useful. I get different angles and different areas of expertise when I interact with them.

    I would rate the customer support from Sentra as a 10 out of 10. They're very responsive whenever we send them a communication. We've been on calls with them numerous times, so they're very useful. There are no improvements I would see from that angle.

    How would you rate customer service and support?

    Positive

    How was the initial setup?

    It was quite easy to integrate Sentra with my existing cloud infrastructure. We interacted with the Sentra team directly and they provided code that we could deploy. I knew that the code was best practice and also it's a standard way of deploying it because that's what they offered. They worked with us to deploy it as well. Their early support was brilliant. It was quite easy to deploy it. As you're deploying it onto a cloud, you then have the native integration.

    What other advice do I have?

    I would say that audits could be anywhere from 10 to 20% smoother from using a tool such as this, because if data is classified properly and you're able to prove that very clearly, and also data is in the right places, deleted data has been carried out or old data, then it makes the whole process a lot quicker.

    Sentra definitely helps with handling compliance requirements for my organization because data security is such an important part of audits and the numerous frameworks that we're audited on, it's very useful. Production data should only be in production environments, and Sentra helps with that. Obsolete or old data, Sentra flags that, which allows us to delete anything which no longer should exist as well. It makes it a lot easier and quicker to handle audits.

    Sentra works in one regard in a standalone fashion because we don't have another tool which classifies and identifies shadow data. In terms of the wider ecosystem, we use other security tools within the cloud. We have a tool which produces short-term access tokens, so we don't have the storage of long-term static keys. This works side by side with Sentra because Sentra is looking for the data that you're choosing to store on various systems. This tool looks at the data that you've produced. It integrates into the wider workflow and looks at a slightly different angle of data governance.

    Sentra's alerting and reporting functionality is easy to use and it links to the exact spot where the data is and the cloud account which it's in. The UI is very friendly to use as well. The functionality is easy to use and it is easy to action as well.

    I use Sentra semi-regularly. There are various governance and information security teams in my organization that would use it as well. How much time it saves compared to manual processes is hard to judge because it would be impossible to find all the sensitive data through manual processes, whereas Sentra is able to do it autonomously. With that fact alone in mind, it saves easily over 50%, probably much higher, time than doing it manually.

    I would recommend others to use Sentra. It's a great tool. It can definitely help save time and potentially cost as well by using it. If other potential customers were undergoing audits, this is especially useful because it allows companies to meet compliance standards more easily. I would rate this review a 10 out of 10.

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