Data security services

  • Ensure all-time data integrity and availability for authorized users with security measures and technologies that fit your business objectives

  • Track, analyze, and protect sensitive data with real-time monitoring, access controls, and data classification mechanisms

  • Reduce total cost of ownership of cybersecurity infrastructure by building and integrating automated data security solutions

  • Minimize legal and financial risks by establishing full compliance with industry laws, regulations, and standards

  • Prevent data breaches and ransomware attacks with robust data encryption, multi-layered security protocols, and proactive threat monitoring

Real-life results of well-established data security services

  • Benefits icon

    Up to 50%

    faster response to cyber threats with real-time monitoring and automated incident handling

  • Benefits icon

    Up to 100%

    compliance assurance with industry regulations like GDPR, HIPAA, and PCI-DSS

  • Benefits icon

    Up to 70%

    decrease in data breach risks with strong encryption and access control measures

  • Benefits icon

    Up to 99.9%

    reduction in security vulnerabilities through proactive threat management

Data protection and privacy services Yalantis provides

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Access control and identity management

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Data encryption and tokenization

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Data anonymization

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Security compliance and risk management

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Cloud and hybrid security solutions

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Secure data backup and disaster recovery

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Data warehouse security services

Access control and identity management

  • Setting up data governance and ownership rules
  • Establishing role-based, data-centric, and context-centric access controls
  • Selecting policies and technologies for identity management
  • Enabling alert and reporting system

Data encryption and tokenization

  • Ensuring application-level data encryption and decryption
  • Enabling centralized key management
  • Encrypting data at rest and in transit
  • Implementing data tokenization for sensitive data
  • Developing a policy for creating, using, and retiring tokens
  • Combining data encryption and tokenization
Data encryption and tokenization

Data anonymization

  • Prioritizing data use cases
  • Enabling data masking
  • Generating synthetic data
  • Implementing data generalization and swapping
  • Protecting de-anonymized data
Data anonymization

Security compliance and risk management

  • Defining necessary compliance laws, regulations, and standards
  • Embedding compliance processes into business functions
  • Addressing non-compliance issues
  • Creating compliance training programs
  • Monitoring, identifying, prioritizing, and analyzing risks
  • Mitigating and documenting risks
Security compliance and risk management

Cloud and hybrid security solutions

  • Protecting critical datasets in the cloud and on-premises
  • Enabling data loss prevention mechanisms
  • Implementing threat monitoring and management
  • Enabling fraud protection
  • Setting up automated identity and access management
Cloud and hybrid security solutions

Secure data backup and disaster recovery

  • Maintaining backup copies of critical data
  • Building cloud-based backup and disaster recovery solutions
  • Enabling continuous replication for disaster recovery and backup
Secure data backup and disaster recovery

Data warehouse security services

  • Mapping data in a data warehouse
  • Monitoring queries in data repositories
  • Implementing vendor-specific security controls
  • Running data repositories in a virtual private cloud
Learn more
Data warehouse security services
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Access control and identity management

Access control and identity management

  • Setting up data governance and ownership rules
  • Establishing role-based, data-centric, and context-centric access controls
  • Selecting policies and technologies for identity management
  • Enabling alert and reporting system
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Data encryption and tokenization

Data encryption and tokenization

  • Ensuring application-level data encryption and decryption
  • Enabling centralized key management
  • Encrypting data at rest and in transit
  • Implementing data tokenization for sensitive data
  • Developing a policy for creating, using, and retiring tokens
  • Combining data encryption and tokenization
Data encryption and tokenization
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Data anonymization

Data anonymization

  • Prioritizing data use cases
  • Enabling data masking
  • Generating synthetic data
  • Implementing data generalization and swapping
  • Protecting de-anonymized data
Data anonymization
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Security compliance and risk management

Security compliance and risk management

  • Defining necessary compliance laws, regulations, and standards
  • Embedding compliance processes into business functions
  • Addressing non-compliance issues
  • Creating compliance training programs
  • Monitoring, identifying, prioritizing, and analyzing risks
  • Mitigating and documenting risks
Security compliance and risk management
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Cloud and hybrid security solutions

Cloud and hybrid security solutions

  • Protecting critical datasets in the cloud and on-premises
  • Enabling data loss prevention mechanisms
  • Implementing threat monitoring and management
  • Enabling fraud protection
  • Setting up automated identity and access management
Cloud and hybrid security solutions
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Secure data backup and disaster recovery

Secure data backup and disaster recovery

  • Maintaining backup copies of critical data
  • Building cloud-based backup and disaster recovery solutions
  • Enabling continuous replication for disaster recovery and backup
Secure data backup and disaster recovery
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Data warehouse security services

Data warehouse security services
  • Mapping data in a data warehouse
  • Monitoring queries in data repositories
  • Implementing vendor-specific security controls
  • Running data repositories in a virtual private cloud
Learn more
Data warehouse security services
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    Access control and identity management

    Access control and identity management

    • Setting up data governance and ownership rules
    • Establishing role-based, data-centric, and context-centric access controls
    • Selecting policies and technologies for identity management
    • Enabling alert and reporting system
  • Icon

    Data encryption and tokenization

    Data encryption and tokenization

    • Ensuring application-level data encryption and decryption
    • Enabling centralized key management
    • Encrypting data at rest and in transit
    • Implementing data tokenization for sensitive data
    • Developing a policy for creating, using, and retiring tokens
    • Combining data encryption and tokenization
    Data encryption and tokenization
  • icon

    Data anonymization

    Data anonymization

    • Prioritizing data use cases
    • Enabling data masking
    • Generating synthetic data
    • Implementing data generalization and swapping
    • Protecting de-anonymized data
    Data anonymization
  • icon

    Security compliance and risk management

    Security compliance and risk management

    • Defining necessary compliance laws, regulations, and standards
    • Embedding compliance processes into business functions
    • Addressing non-compliance issues
    • Creating compliance training programs
    • Monitoring, identifying, prioritizing, and analyzing risks
    • Mitigating and documenting risks
    Security compliance and risk management
  • icon

    Cloud and hybrid security solutions

    Cloud and hybrid security solutions

    • Protecting critical datasets in the cloud and on-premises
    • Enabling data loss prevention mechanisms
    • Implementing threat monitoring and management
    • Enabling fraud protection
    • Setting up automated identity and access management
    Cloud and hybrid security solutions
  • icon

    Secure data backup and disaster recovery

    Secure data backup and disaster recovery

    • Maintaining backup copies of critical data
    • Building cloud-based backup and disaster recovery solutions
    • Enabling continuous replication for disaster recovery and backup
    Secure data backup and disaster recovery
  • icon

    Data warehouse security services

    Data warehouse security services

    • Mapping data in a data warehouse
    • Monitoring queries in data repositories
    • Implementing vendor-specific security controls
    • Running data repositories in a virtual private cloud
    Learn more
    Data warehouse security services
FAQ

What industries do your data security services cover?

We provide comprehensive data protection services to companies operating in such industries as healthcare, FinTech, manufacturing, supply chain, real estate, and energy and utilities. Each industry requires investigating its compliance documentation, requirements, and rules on how to serve their customers. All of these factors define which security measures and controls a company might need. Building an industry-compliant data governance framework is the first step to secure data use and as a consequence business operations.

 

Plus, it’s advisable to assess your current security posture and data infrastructure to learn which data security platforms and technologies will be appropriate in your case. However, the choice of data security platforms should be clearly justified, as overburdening an organization with too many security measures and solutions can increase the total cost of ownership and make your security infrastructure too chaotic to keep in check.

How do you ensure compliance with GDPR, HIPAA, and other laws, standards, and regulations?

Depending on your industry and location, our data security team integrates data protection practices required for compliance with necessary laws, regulations, and standards. Such practices include data minimization and regular requests of individual consent to ensure that the personal data of your users, employees, or customers is used only to the extent needed to provide services.

 

To avoid costly data breaches and reputational damage, studying all the peculiarities of data privacy laws and regulations is essential, especially if you’re considering business expansion to new locations.

What types of encryption methods do you use?

Yalantis security specialists use symmetric and asymmetric data encryption methods depending on the level of data sensitivity and security requirements. For the secure authentication process, our team uses strong public key algorithms like RSA (key lengths of at least 2048 bits or higher) or ECC (key lengths of 256 bits or higher).

 

For sensitive data at rest, we implement an industry-standard AES-256 encryption algorithm. To secure data transmission, we use an encryption protocol TLS 1.2 or higher. In case of the cryptographic key compromise, we generate a new key or key pair and revoke the compromised ones. We also set up prompt key management practices to monitor the safety of cryptographic keys throughout their lifecycle.

How do you prevent insider threats and unauthorized access?

Insider threats and instances of unauthorized access often stem from excessive permissions, negligence of security rules, human error, weak access controls, or lack of comprehensive cross-company security training. We address these risks with a zero-trust security model, implementing role-based access controls, least privilege principles, multi-factor authentication (MFA), and detailed incident response plans. Our data security framework also includes regular security audits to detect anomalies and insider risks in real time. We also provide security awareness training to minimize human error as a vulnerability.

Can you secure both on-premise and cloud-based environments?

The Yalantis team can ensure end-to-end data encryption, rigid access control, and compliance policies remain consistent across cloud environments (AWS, Azure, Google Cloud), private data centers, or hybrid solutions. Our data security services adapt to your business model—whether you need to secure cloud migrations, protect legacy systems, or enforce endpoint security across a distributed workflow.

How to assess your data security posture and why it’s important

A data security assessment involves a comprehensive evaluation of your organization’s hardware, software, data governance processes, and user behaviors, to determine how susceptible your systems are to threats such as unauthorized access, data breaches, or cyberattacks.

A thorough assessment not only identifies vulnerabilities but also helps you discover how your employees collect, store, use, and manage company and customer data. For instance, your employees can keep critical business data in an Excel file that anyone in the company can access, download, and share. Lack of popper access controls in such a case can be threatening to your business and lead to non-compliance fines.

At Yalantis, we provide 24/7 security monitoring with automated threat detection, real-time alerts, and incident response support. Our security team can proactively identify and mitigate threats before they escalate. Additionally, we offer regular compliance audits and continuous vulnerability management to keep your security posture strong.

Importance of data security assessment

Identifying vulnerabilities

Regular assessments and security audits help discover weak spots in your security infrastructure that malicious actors can use to compromise your data. By proactively identifying these gaps across different environments such as cloud and on-premises, your data security service team can implement measures to protect your data.

Regulatory compliance

Many industries are subject to stringent data protection regulations, such as GDPR, HIPAA, or PCI-DSS. Timely security assessments ensure that your organization complies with these regulations at all organizational levels, helping you avoid legal penalties and fines.

Protecting reputation

Data breaches can severely damage an organization’s reputation, leading to the loss of customer trust and revenue. Assessments can help you prevent such incidents by highlighting which datasets and software systems require the most rigid security controls. When you know how vulnerable your data infrastructure is, you can prepare incident response plans that can guide your security teams on how to deal with a data breach.

Efficient allocation of resources when implementing security measures

Understanding your security weaknesses allows for a more strategic allocation of resources. You can define which areas require immediate action and gradually solve all the security issues, improving your security posture without significant upfront investment.

Steps to conduct a data security assessment

  1. Identification of company digital assets. Begin by cataloging all hardware, software, and data assets within your organization. Understanding what digital assets you have and organizing them based on importance and sensitivity is fundamental to assessing their security.
  2. Vulnerability scanning. Evaluate your software systems and integrations with third-party service providers for vulnerabilities. For instance, at Yalantis, we employ automated tools to scan for software vulnerabilities and conduct manual reviews of security configurations.
  3. Risk identification. Another step would be composing a risk analysis framework to identify, prioritize, and analyze potential threats to each data asset. Such threats could be cyberattacks, insider threats, and natural disasters. It’s also crucial to determine the potential impact of each identified risk on your operations, finances, and reputation.
  4. Risk mitigation. Based on such a thorough risk analysis, your data security service team can prepare risk mitigation strategies which can include applying security patches, updating software, enhancing access controls, composing endpoint security policies, or providing employee training.
  5. Documentation and reporting. Comprehensive documentation and reporting records can be critical for:
    – gaining stakeholders’ buy-in to invest in a more secure data infrastructure
    – compliance purposes
    – informing future security strategies
  6. Continuous monitoring. Implement continuous monitoring to detect emerging vulnerabilities, risky software, and illicit user behavior, and respond to threats promptly.

How to build a data protection strategy

A well-structured data protection strategy is a company-wide security guide that encompasses policies, procedures, and technologies designed to protect data throughout its lifecycle. Such a strategy not only helps defend your infrastructure from cyberattacks and data breaches, but also reduces risks of business downtime due to those cyberattacks. Prolonged downtime can have irrevocable consequences for the business in terms of time, customer satisfaction, and revenue.

Key components of a data protection strategy

  1. Data lifecycle management (DLM). Implementing processes to manage data from creation and collection to deletion or archival is critical for data security. DLM includes proper data classification, storage, usage, archiving, and secure disposal. With effective DLM processes, businesses can make decisions based on high-quality data.
  2. Access controls. Strict access controls and identity management practices ensure that only authorized users and employees can access business-critical data. Data access management involves implementing role-based, data-centric, and context-centric access controls and regularly reviewing access permissions. Plus, MFA is also one of the ways to prevent unauthorized access.
  3. Data encryption. Encryption algorithms and protocols protect data at rest and in transit. Data encryption procedures ensure that even if data is intercepted or accessed without authorization, it remains unreadable and undetectable to threat actors.
  4. Regular backups. Regular data backups and disaster recovery ensure proper data storage and availability in case of data loss incidents. A security team should store data backups securely in remote locations and regularly test them to confirm their integrity and effectiveness.
  5. Incident response plan. A comprehensive incident response plan outlining procedures for detecting, responding to, and recovering from data breaches or security incidents is essential for every organization that expects to preserve their reputation and business efficiency even despite data breaches.
  6. Employee training and awareness. Educating employees on data protection services, policies, procedures, and best practices helps prevent human errors that could lead to data breaches or insider threats. You can also prepare cybersecurity tests to periodically validate your employees’ knowledge and understanding of data security.
  7. Compliance management. Ensure that your data protection strategy aligns with relevant regulatory requirements and industry standards. Regular security audits and assessments can help maintain compliance and identify areas for improvement.

Protect your data infrastructure from malicious attacks and have more confidence in your digital initiatives. Data security is your guard on the way to innovation, as you can experiment with different vendors, data storage environments, and third-party services, while your security team serves as a backbone, supporting rather than limiting your business growth. With prompt security assessment and continuous updates of the data protection strategy, your company infrastructure will remain resistant to the majority of security threats and vulnerabilities.

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    Lisa Panchenko photo

    Lisa Panchenko

    Senior Engagement Manager

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