Data Vault API

In our Ericsson charging environment, my main use case for Enigma Vault  handles large volumes of sensitive telecom information such as subscriber personal data, different IMSI and MSISDN addresses, billing information, CDRs, network logs, and SIM related information. Enigma Vault  can tokenize or encrypt all sensitive information before it is stored in databases, particularly the PostgreSQL  database we use. The data is generally shared with third party systems or used in analytics platforms. The biggest advantage is that even if databases or logs are exposed, attackers only see tokens instead of real customer data. Our organization's key use cases include protecting customer PII data, securing the telecom billing system, and enabling secure data sharing. Cloud security is one of the most important points here. Centralized key management, where encryption keys are managed securely across multiple applications and telecom platforms, is one of the key roles played by Enigma Vault.

Regarding daily workflow, the following workflows are encountered in day to day operations. When a customer calls support regarding a billing issue, the CRM  application retrieves the customer data. Sensitive fields such as MSISDN and IMSI or payment related data remain tokenized and masked. Customer support agents can only see partially masked values such as 9XXXXX, and instead of the full mobile number, they only see XX digits. Only authorized systems and privileged users can de-tokenize the original value when it is required. Another daily example is our analysis of telecom traffic and customer usage patterns at Ericsson. Instead of exposing real subscriber identities, Enigma Vault provides tokenized data. Analysts can still perform reporting and trend analysis without accessing customer PII. We can extract all that data without touching production. We also use Enigma Vault in cloud environments in container based NTP. Before sending logs or telecom data sets to cloud storage or SIEM  tools, sensitive information is encrypted and tokenized through Enigma Vault.

Enigma Vault has positively impacted our organization in several ways, especially in improving data security, compliance, and operational trust within Ericsson systems. There are some key points I want to emphasize. Improved protection of sensitive data is one of them. Customer information such as MSISDN, billing data, and CDRs are now tokenized and encrypted, which significantly reduces the risk of exposing sensitive telecom data. Better compliance management is one of the key tools here because Enigma Vault helps strengthen compliance with GDPR and internal telecom security policies. Safer cloud adoption is one of the key points as well.

While exact numbers are usually confidential, we observed several measurable improvements after implementing Enigma Vault in our Ericsson environment, particularly in the charging domain. One point is the reduction of sensitive data exposure. A large percentage of customer PII fields stored in databases and logs became tokenized or masked, which significantly reduced the number of systems directly handling raw subscriber data. Faster compliance audits is another point. GDPR and security audit preparations became easier because Enigma Vault provided centralized logging, access tracking, and key management. Audit evidence collection time was also reduced. Lower security risks is a key important point. Since supported analytic streams worked mostly with tokenized data, insider exposure risk decreased. Even if logs or databases were accessed improperly, real customer data was not directly visible. Improved cloud security is one of the key points here.

The best features of Enigma Vault for our organization, Ericsson Telecom, are the tokenization and strong encryption. Tokenization replaces sensitive telecom and customer data with non-sensitive tokens, which reduces the risk of exposing real subscriber information. It is very useful for protecting IMSI, MSISDN, billing, and customer confidential identity data. Strong encryption supports secure encryption of data at rest and in transit, protecting sensitive information across SQL, PostgreSQL  databases, APIs, cloud platforms, and backups. Encryption keys are managed securely from one centralized platform, which simplifies security operations across multiple telecom applications and environments.

All the features I have mentioned are important. However, if I need to emphasize a particular feature, the most important feature in my opinion is tokenization. The reason is that telecom organizations such as ours handle extremely sensitive customer information such as MSISDN, IMSI, SIM data, customer identity information, and CDRs. With tokenization, the actual sensitive data is replaced with non-sensitive tokens before being stored or shared with our applications. This is critically important because it reduces data exposure risk, supports compliance, and enables secure analytics, which results in minimizing incident threats.

Enigma Vault is a strong security platform within Ericsson, but there are always areas where it can be improved further. There are some gray areas, especially for large telecom environments. Some improvements I would suggest are simpler integration processes. Integration with legacy telecom applications can sometimes be complex. More ready-made connectors and automation for telecom systems would reduce deployment effort. Better performance optimization in high volume telecom environments is another suggestion. In Ericsson charging, tokenization and encryption can introduce latency. Further optimization for real-time workloads would be beneficial. Enhancing monitoring dashboards is also important. More advanced real-time dashboards and analytics for security events, token usage, and compliance visibility would improve operational monitoring. AI-ML driven anomaly detection would help identify suspicious access patterns or insider threats faster. Broader multi-cloud automation can also be implemented here.

I have been using Enigma Vault for approximately four and a half years.

Enigma Vault is very stable because we use it in different Ericsson charging domains such as SDP, AR, CCN, and CC.

The scalability of Enigma Vault is a key strength, especially in large scale telecom environments such as Ericsson charging where data volume and transaction rates are extremely high. Scalability works in our cases through horizontal scalability. Enigma Vault is designed to scale out by adding more instances rather than relying on a single powerful server. It processes requests through APIs, which makes it suitable for large scale distributed telecom systems. Multiple applications such as billing and CRM  can call it simultaneously. Telecom environments generate massive data streams such as CDRs, subscriber updates, and network logs. This platform is built to process high transaction volumes with low latency, which is very critical for real-time operations. Even if telecom traffic increases dramatically with millions of subscribers generating continuous data, Enigma Vault can handle the load by scaling horizontally and distributing requests efficiently without degrading any system performance.

Customer support for Enigma Vault is generally structured as an enterprise grade support model, which is important for large telecom environments such as Ericsson charging where downtime or security issues are critical. Twenty-four hour per day, seven day per week enterprise support is available. Support is typically available around the clock, which is essential for telecom operations that run globally and cannot afford downtime. An L1, L2, and L3 tier support model is in place. A dedicated technical account manager is also managing the shift rota level engineer where we are working as a last level of engineer for T2 cases during emergency and DFD cases. The support is very strong here. Since Enigma Vault deals with sensitive data protection, support interactions follow strict security protocols. Enigma Vault provides enterprise grade twenty-four hour per day, seven day per week support with tiered escalation, SLA based response times, and dedicated technical account managers, which ensure reliable operation in critical telecom environments such as Ericsson charging.

In our Ericsson environment, before adopting Enigma Vault, we were using a combination of custom in-house encryption and tokenization logic and some database level security features such as TDE encryption and application level masking. This earlier solution was used because it was already built into legacy telecom applications, and database level encryption helped protect data at rest. However, we moved to Enigma Vault because the earlier approach had several limitations such as lack of centralized control, high maintenance effort, limited scalability, and weak standardization. Cloud readiness challenges were also a factor because legacy encryption approaches were not designed for hybrid and multi-cloud environments. Enigma Vault provided centralized tokenization and encryption, policy-based access control, scalable API driven integration, and consistent security across all applications, so we chose it.

Before adopting Enigma Vault in our Ericsson environment, there was typically an evolution of multiple data protection approaches and vendor solutions to ensure the right fit for telecom scale requirements. Services such as AWS KMS  and Azure Key Vault  were used for key management and encryption at rest. These were not strong enough alone for application level tokenization for telecom data. Enigma Vault was chosen because it provided centralized tokenization across multiple telecom systems and better performance for high volume CDR and subscriber data processing. Before Enigma Vault, we evaluated cloud-native encryption services, database level security such as TDE, and custom in-house tokenization approaches. However, Enigma Vault was selected because it provided centralized, scalable tokenization with better integration and compliance support for telecom workloads.

With Enigma Vault in our Ericsson charging environment, ROI is mainly visible in risk reduction, operational efficiency, and compliance cost savings rather than direct revenue. One point is the reduced data breach risk, which is a major ROI driver. Since sensitive data such as MSISDN and billing records are tokenized, the blast radius of any potential data exposure is significantly reduced. This helps avoid high cost incidents related to data breaches, fines, and customer churn. Faster compliance audits is another point. GDPR and internal security audits become faster because sensitive data handling is centralized and traceable, which reduces the manual effort from multiple teams and saves engineering and security hours during audit preparation. Reduced development overhead is another benefit. Instead of building custom encryption tokenization logic in every application, Enigma Vault provides a centralized service, which reduces duplicated development and maintenance effort across multiple telecom systems. Improved cloud security is another benefit. Enigma Vault reduced security barriers for moving telecom workloads to cloud environments by ensuring data is protected before leaving core systems. Enigma Vault is mainly seen as reducing breach risk exposure, enabling faster compliance audits, lowering development overhead due to centralized tokenization, and improving operational efficiency in secure data access across telecom systems.

I chose a rating of nine out of ten because I deducted some points for the improvement areas, and I gave it nine out of ten for the positive responses and what it delivers to us in our day-to-day operations.

One additional point I can add is that Enigma Vault helps maintain compliance while still enabling monitoring and troubleshooting.

I would advise that others in an organization such as Ericsson apply Enigma Vault based on a few practical recommendations from real implementation experience. The first point is to start with a clear data classification strategy. Identify which data is sensitive and apply tokenization only where needed to avoid unnecessary complexity and overhead. The second point is to plan integration carefully and ensure early involvement of application, database, and security teams. I would suggest using a phased rollout approach consisting of a pilot, limited production, and full scale deployment to reduce risks. I would also focus on performance testing in telecom environments such as ours, where high transaction volumes are expected. Load testing for tokenization and de-tokenization APIs is critical before production rollouts. Role-based access control must be implemented strictly to ensure only authorized systems and users can de-tokenize sensitive data. My advice would be to start with proper data classification, carefully plan integration with all applications, and perform strong performance testing before production deployment.

In our Ericsson environment, the primary relationship with Enigma Vault is that of a technology vendor and enterprise customer relationship. Apart from being a customer, in most enterprise deployments there are usually additional interactions such as implementation and integration support, professional services engagement during rollout, ongoing technical support and SLA-based maintenance, and occasional roadmap discussions and product feedback sessions. The primary relationship is vendor-customer. Beyond that, there may be implementation support, professional services, and ongoing technical collaboration, but not a strategic co-development or ownership type partnership in most cases.

Enigma Vault is a key tool in today's telecom industry, and I have shared comprehensive information on it. I gave the product a rating of 9 out of 10 overall.

I have been using Enigma Vault  for two years.

We use Enigma Vault  for securely handling sensitive data in our application. Whenever we need to store the data of candidates and enterprises, mostly for the enterprises side, we store it in Enigma Vault. The main use case is to tokenize and encrypt sensitive data, such as the card details of enterprise users, so that the application never stores or processes raw data, ensuring security and compliance.

For a specific example, whenever an enterprise user gets added to the application and wants to add 100 or more candidates, they have to pay some minimum amount. For payments, the user will add card details on the front end, but the back end will not store it directly. Instead, it will store it to Enigma Vault. Enigma Vault will perform the encryption of the card data and store it there, then return a token. My database only stores the token, not the actual card number. This approach is especially useful in microservices architecture where multiple services can safely use tokens instead of sharing sensitive data.

My system never stores the raw card data, but even if my database is hacked, it will only contain the token. An attacker will only get the useless token. We have reduced our PCI DSS scope significantly.

The best features Enigma Vault offers are tokenization. It is one of the best features that it provides. Whenever we give any data to it, it has the capability to tokenize combined with strong encryption, which allows our application to operate without even storing the sensitive data. The second valuable feature is data isolation. The actual data is stored only inside the vault and not inside our databases, which is very beneficial because there can be different attacks that an attacker can do to get the data from the database. If database data is accessed by the attacker, it can be very harmful for us. The third feature is the built-in compliance. It helps us achieve PCI DSS, SOC 2, even without building complex security systems. The main thing fundamentally changes the architecture from storing and protecting data to never storing sensitive data at all, which is a much more secure approach.

Tokenization is the feature I rely on the most during my day-to-day work because I don't need to store sensitive data, such as card numbers and PII numbers. Instead, I just need to store the random token, which is great for our application because tokens have no exploitable value. Even if the database is leaked, the data is safe.

This feature fundamentally changes the architecture from storing and protecting data to never storing sensitive data, which is excellent. Another valuable capability is the ability to search and operate on encrypted data. If data is encrypted, you normally cannot search it, but Enigma Vault allows searching such as name, email, and phone without exposing the raw data.

Enigma Vault has impacted my organization positively because right now we don't need to store the actual PII and credit card details of the enterprise users. The impact has been significant in terms of security, compliance, and development efficiency because we stopped storing sensitive card data and PII. We work in a European region where there are GDPR compliance requirements. The data of the enterprise users should not be shared with anyone and should be protected very carefully. Even in the case of a breach, only a token should be exposed. Reducing risk drastically is one of the major benefits. The second benefit is easier compliance. PCI DSS scope was reduced and audit effort is lessened. In our application, we have auditing logs, so every time there is a movement of anything, we need to audit that because we need to maintain all the history of the events that have happened. Auditing is reduced in this case because of the features that Enigma Vault provides. It saves time and has lower compliance costs. The third benefit is faster development. We don't need to build the encryption logic ourselves because it is already provided by Enigma Vault. We only need to focus on the business feature rather than security implementation.

After using Enigma Vault, our security metrics have improved drastically. The exposure of sensitive data has reduced by 90 to 95 percent at the application level. The number of systems handling raw PII is reduced from multiple to zero. We don't need to store anything in our database. There are also improved compliance metrics. PCI audit scope reduced by 60 to 70 percent, and audit preparation time reduced from weeks to a few days. We have reduced sensitive data exposure almost completely, cut compliance effort by over 60 percent, and improved development speed by around 30 to 40 percent.

There are some improvements that can happen. Enigma Vault is strong in security and compliance, but there are a few areas that can be improved. Better observability and monitoring would be helpful. There is limited deep insight into tokenization failure and API latency breakdown. It can be improved by detailed dashboards, logs, and alerts, which can help in faster debugging and production monitoring. Another area is lower latency for high-scale systems. Every request goes through the vault APIs, which adds latency. In our application we have 1 million users at the candidate side and around 100,000 at the enterprise side. We have latency issues which we need to consider. Lower latencies for higher scale systems would be beneficial. Improvements could be made through edge-caching for the token. AWS  provides these kinds of services such as CloudFront, so we can use these to store the tokens in the caches. There could also be regional vault deployment, similar to what AWS  does.

The APIs are good, but the development SDK support can be expanded a little because better documentation and examples would be helpful, especially for newer clients who are getting onboarded.

Developer experience can be improved, and observability is another area. As a developer, I will get the APIs and everything which is provided by Enigma Vault, but the documentation that they have is a little too overwhelming for a newer developer. They are not able to understand it easily. Documentation is one thing that can be improved if a developer wants to start working on it.

I don't think there is much downtime or any reliability issues. Enigma Vault maintains 90 to 95 percent availability and is working fine for our application.

Scalability-wise, Enigma Vault is very scalable. Because it is a pay-as-you-go structure, the more tokenization we need to generate, the more price we need to pay. It is an API-first SaaS platform that can handle increasing data volume and request load.

Up until now we haven't needed customer service from a code perspective. We haven't used customer support because the APIs and tokenization are working quite well. The support was not needed so far.

I did not use any different solution previously.

The setup was pretty simple. The pricing is subscription-based because it is a SaaS model. It depends upon the usage that we have. Every time we make an API call and the tokens that are being created, that is the setup structure. Initially, the setup cost is very low because it is a pay-as-you-go structure. Initially, you don't need to pay a big sum. The licensing is tier-based licensing, such as basic, limited, and enterprise. We use the enterprise high-volume pro add-on feature, which has SLA guarantees, dedicated support, and compliance features.

Development cost has been reduced because we don't need to build our own encryption model. PII data that we need to store for European clients are very specific about GDPR compliance because if the data gets leaked, it is very hard for us to move that application into further stages. Encryption systems must be very good because the data cannot be accessed by attackers. We needed to protect our data significantly. For that, Enigma Vault has reduced the development cost. Approximately 30 percent of development cost can be reduced because we don't need to think about encryption designing. Compliance cost is also reduced.

There is no big initial setup cost as it is a subscription-based SaaS model.

Previously, we did not use any other options, but I think HashiCorp Vault  was the one that our team discussed before using Enigma Vault.

There are pros as well as cons, but the pros are highlighted more prominently. The strengths are top-level security, tokenization, and encryption. Enigma Vault has strong PCI DSS and SOC 2 compliance support. It has an API-first design, which is very beneficial for developers to understand and easy to integrate. It reduces the data risk almost completely. I would not give a perfect score because there are latency issues that have occurred previously and a dependency on external vault availability. A regional vault is not provided, so that can be an issue.

If your product or application is in a country where PII information is very protected and the attacking is very brutal, for example, European clients have a structure where you cannot share the PII information with anyone. If that PII information gets shared by mistake, your application will be turned down by the government instantly, and you will not know what happened because their laws are very harsh in this situation. You need to protect your application from attackers. You need to store the data in some different place. Otherwise, it will cause so many issues at different levels that you will not know before the application is just turned off by the government. For that kind of situation, Enigma Vault is a great use. It has great usage and you can directly include it in your application to store the PII information. I would rate this product a 9 out of 10.