security operation center Security big data

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Security big data 

• Most of information security efforts focus on
  monitoring and data analysis with regards to
  events on networks, servers and other devices.
  Advanced big data analytics are applied to
  security monitoring. This enables broader as well
  as more in-depth analysis.In order to capitalize
  on the competitive advantage of big data,
  organizations deployed analytics pipelines that
  exploit big data. Data Science Teams set up in
  environments that have limited budget or
  facilities regarding cyber security. This poses
  as a security nightmare that now organizations
  feel, should be taken seriously.

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What are big data security analytics?

• Big data security analytics and analysis is an
  extension of SIEM, CASB, PIM and related
  technologies. The difference (in terms of
  quantity) in the volumes and types of data
  analyzed result in qualitative differences in the
  types of information that has been extracted from
  security devices and applications. Hence, as a
  result, the qualitative difference in the
  possible alerts/alarms can be seen.

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Challenges of big data security analytics?

• Data governance
• The objective of Data governance is about
  effectively managing the data in an organization.
  The key issues regarding this governance involve
  usability, availability, accuracy and cyber
  security. There is a need to define data
  management procedures.
• 2. Privacy-preserving analytics
• Security analytics need to take care of user
  privacy. Big data tooling can face privacy issues
  due to hackers always planning new methods to
  threaten the privacy of every internet user.
  Higher the amount of online data, more difficult
  it is to ensure that data not missing something
  that can violate privacy.
• 3. Perimeter-based security
• When perimeter-based security model is
  implemented, mission-critical applications are
  inside the secure network.This is a common
  security model in big data installations as big
  data security tools lack perimeters. Secondly,
  there is no guarantee that network security
  people would be familiar with the specific
  requirements of security big data systems.

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Non-relational data-stores

• The NoSQL data stores have been popular for
  years. They are often deployed as part of big
  data installations as they have properties that
  are helpful in managing and analyzing large data
  sets.However, ensuring cyber security for NoSQL
  databases is a challenge. Most of the effort put
  by managers of these databases focuses on
  providing features. With the market growing, lack
  of cyber security would be bad for business.Many
  NoSQL products have key security features, but
  those can be compromised by permissive default
  options, or lack of knowledge with regards to
  effective configuration.
• 5. Configuration management
• Big data deployments tend to be a plaid of
  emerging open source tools. Single applications
  are usually distributed across a network
  (cluster) of multiple physical machines. This
  makes configuration management difficult.The
  configuration in a production big data analytics
  cluster is often spread across numerous,
  incompatible JSON, XML and text files. A further
  cause of concern in this regard is the
  complication when new machines are added to a
  cluster they need to be set up, patched and
  configured so that they do not create a security
  hole.

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Remedies offered by big data security analytics

•  Smoothening data management
• Processes should be defined for managing data and
  they need to be continuously monitored and
  evaluated on the basis of their
  effectiveness.Some companies may have policies
  regarding a relational database centric world.
  Such policies include well-defined schemas,
  structured data with small amounts and mature
  reporting tools.
• 2. Protection of privacy
• Encryption ensures data privacy. Homomorphic
  encryption allows analysis of encrypted data.
  Hence, data scientists would not need access to
  the underlying identifiable data.

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Relational databases

• Relational databases offer security as a critical
  component of their features.To know more about
  the Big data analytics and other security
  analytics offered by us, contact us at
  enquiry_at_leosys.net or call us at 407-965-5509.
  Click here to and know more about our Security
  Operation Center.