The field of Big Data is moving fast and taking over the business world like never before; powerful analytics spur new decisions, improve performance and define accessible opportunities. However, there is a lot of concern regarding security when it comes to usage of so much data and consumption. Ultimately, the adoption of Big Data comes down to one question for many enterprises: How can you leverage Big Data’s potential while effectively mitigating Big Data security risks?
When regulations come into the picture, there are added concerns with analyzing, mining, management, transmission, storage. An example of this is the Health Insurance Portability and Accountability Act of 1996 (HIPAA) privacy guidelines concerning health care providers, contractors, or other associated individuals who may come into contact with, use, or even be responsible for storing sensitive health care data.
Third-party data-management companies may seem like a viable solution; however, there can be serious issues that crop up over time: data breaches, low-risk companies turning into high-risk companies, a sense of losing control of your data with cloud storage providers and regulatory agencies that will hold you accountable for the security of your data when you aren’t managing it.
Big Data relies heavily on the cloud, but it’s not the cloud alone that creates security risks. Third-party applications can introduce risks when their security measures aren’t up to the same standards as established enterprise protocols and data governance policies.
With everyone going mobile, having access to information in the cloud – anywhere, anytime, there are the added concerns of data security problems in the world of Big Data and the IoT. With employers embracing the “bring your own device” (BYOD) to work concept, any number of devices could be connected to an enterprise’s LANs and WANs throughout the organization.
Regarding these, users need privileged access to sensitive data within the organization, especially within regulated industries. Where access isn’t necessary – there is a term referred to as the “principle of least privilege.” Developing well-defined security policies is of the utmost importance to protect the health of your organization and its sensitive information.
The Top 10 Big Data Security Challenges
- Secure computations in distributed programming frameworks
- Security best practices for non–relational data stores
- Secure data storage and transactions logs
- End–point input validation/filtering
- Real–time security monitoring
- Scalable and composable privacy – preserving data mining and analytics
- Cryptographically enforced data centric security
- Granular access control
- Granular audits
- Data Provenance
Why BrickRed Systems?
With global experience from our network of security operation centers (SOC), we can bring to your table an end-to-end partnership in all things security – from initial analysis to implementation and ongoing management, we’re with you every step of the way – helping you mitigate risk and increase your business value. BrickRed Systems provides a unique pre-emptive data-centric approach to provide your organization with end-to-end cyber security solutions. Our expertise – built on years of experience and a lot of happy, satisfied, long-term customers – can provide the security solutions you need within your budget.