Security for the Nation’s Most Critical Data
Government agencies are one of the most targeted groups for cyber hackers and have experienced some of the most devastating internal breaches to date. Their business spans employees, consultants, contractors, and sub-contractors making it difficult to secure data through traditional methods. Many agencies have mandates and objectives that establish internal information security standards to guard their data in addition to federal regulations. Data is constantly at risk of being exposed due to a breach and must be protected.
NextLabs Dynamic Authorization technology and policy-driven platform provide protection for multiple government agencies. The US government has been at the forefront of adopting attribute-based access control as a means to enhance data security and strengthen access controls. The solution has been adopted to ensure that trade secrets, patents, copyrights, IP, and classified records do not fall into the wrong hands. Access to these protected documents is not permitted unless all of the relevant attributes about the user, the data, and the environment correspond with the authorization policy.
NextLabs solutions for government provide the ability to:
- Ensure compliance with a wide range of regulatory requirements by automatically enforcing policies.
- Consistently enforce policies across systems, repositories, and applications so no matter where data resides, it is always protected.
- Centrally monitor data access and usage to determine if policies are adequate to comply with internal policies.
- Identify and protect sensitive data, and monitor and control threats to ensure compliance with Cross-Agency Priority Goals, the NIST Cybersecurity Framework, CMMC and other federal mandates.
Insider abuse can be as damaging if not more so than external breaches. NextLabs provides an additional layer of protection by utilizing fine-grained access controls to ensure that only authorized users gain access to critical information. Attributes about the user, data, and environment are considered before authorization is granted. If all attributes do not correspond, access is denied.
As cybersecurity threats have proliferated and computer technology has advanced, compliance requirements have become increasingly complex. The government mandates that encryption, compliance regulations such as FISMA, NIST 800-53, and Federal Information Processing Standards, as well as Common Criteria, need to be part of any data-centric security solution. And, as data moves to the cloud, government agencies need to comply with regulations such as FedRAMP.
The Cybersecurity Maturity Model (CMMC) is also one of the Department of Defense’s newest verification mechanisms. It’s designed to ensure that cybersecurity controls and processes adequately protect controlled unclassified information (CUI) and federal contract information (FCI) that resides on defense industrial base systems and networks. The CMMC model measures cybersecurity maturity with five levels and aligns a set of processes and practices with the type and sensitivity of the information to be protected and the associated range of threats.
Regardless of the specific regulation, NextLabs solutions provide the ability to comply by implementing policies to automatically enforce specific access rules. Audit logs and reports allow agencies to track compliance and prevent violations.
End-to-end Protection with Lower Administration
Government agencies have a daunting task – increase security for their critical assets while working with decreasing IT budgets. NextLabs’ attribute-based policy platform provides the federal government a unified solution for data protection which protects data across the entire organization and when shared with other organizations. Centralized policy management enables agencies to streamline processes and enforcement with more robust protection. Data is protected whether it resides in the application or is being shared by the same set of centralized attribute-based policies – facilitating updates and additions. The complexity of managing the data and costs associated with the administration are greatly reduced.