Enterprise cyber security review and data governance
Data Governance to
Secure Sensitive Data
Our Proposal
Managers and directors are increasingly concerned about cyber security. With so much at stake in terms of your company’s security, finances, and reputation, having an enterprise cyber security program in place is critical.
The duty of care due by leadership to fiduciary requirements results in enterprise security governance. Cyber security, marketing, sales, strategy, finance, compliance and audit, and, from an operational standpoint, business intelligence, reporting, and analytics are just a few of the benefits of data governance and enterprise security review. Data governance activities give data stewardship and enterprise data management activities direction and organization. Finally, utilizing enterprise data review and data governance outcomes in a cyber security context adds a second layer of defense for one of a modern organization’s most precious assets with minimal effort. Infosec Future’s approach is to list things you know are sensitive such as user lists, passwords and system information. By listing out a lot of specific examples but also leaving the policy open ended for data you may collect in the future, you set the expectation that much of the information your staff collects is sensitive. That way, when they are faced with a piece of data that may be new or perhaps not specifically defined in your list, the policy should help guide your staff to think critically in the moment and make the right decisions.
Challenges
Our solutions
Inflexible legacy data systems often hinder the free flow of data.
Information such as what kind of data does the organization have, where does this data reside, who has access and how this data is used, should be accounted for. However, legacy systems obscure the answers to these questions. We establish data governance, whether it requires tracing data history, classifying data, or implementing a granular security model, eliminating siloed, outdated, and unstructured data.
Poor data quality or unsecured data.
We train data stewards to identify when data is corrupt, inaccurate, old, or when it is being analyzed out of context. They should be able to set rules and processes easily to ensure that company data can be trusted.
Lack of control over data.
We help you set policies and identify what needs to be prioritized. We break down data silos, ensuring data quality and clarity, securing data, and achieving regulatory compliance to establish data governance.
Our Services:
InfoSec Future provides data governance and enterprise security reviews to ensure your business is compliant with cyber security rules and regulations.
Identifying data at risk
Our team uses enterprise data management tools to identify data categories that the enterprise defines as sensitive. A breach of sensitive data is the cause of financial risk for insurance enterprises.
Locating sensitive data
We create classifications to determine the sensitivity of different types of data like PII. This enables your enterprise to identify the location of any data of a given classification for strategic, operational, or regulatory purposes.
Consistent data access processes
We maintain tight control over PCI, PII, and PHI data. Our data governance establishes policies and standards used to guide the development of consistent data access processes across silos and across the enterprise.
Safer access to sensitive data
We address access risk by providing masking and tokenization functionality. These features enable data stewards to profile their data and assess their data quality without ever seeing the data and, thereby, potentially compromising data security.
