I am currently focusing my R&D work in the space of “Big
Data for Security”.
This is a fascinating area and, currently, a green field.
How to effectively leverage huge amount of collected IT
information (ranging from IT logs to application and service information as
well as external intelligence) to
identify new security threats, issues and provide valuable information to
organisations to mitigate current and foreseeable risks?
HP already has core assets in the security and “Big Data”
space: HP ArcSight suite (SIEM solution for event logging, storage and
correlation); HP Vertica (highly parallelised, columnar database solution for
storage and analytics of structured big data) and HP Autonomy (storage,
indexing and retrieval of massive amount of unstructured data).
I am currently exploring how these capabilities could be
fully leveraged in the context of big data for security, in particular in a few
security verticals and types of critical security data. In addition, I am interested
in exploring how the massive amount of required computation and analytics can
be performed by adopting innovative solutions in the cloud (private and hybrid
cloud).
I am looking for public use cases, case studies and
requirements in this space, in particular for analytics based on big security
data and anecdotes on how “big data” has been helping to address security
issues.
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