The Stack Archive

IBM reveals new cloud analytics software to fight growing cybercrime threats

Thu 28 Aug 2014

IBM has announced the launch of a new cloud data and analytics service designed to combat cybercrime.

Revealed on Monday as the IBM i2 Enterprise Insight Analysis (EIA), the software is a high-speed analysis and criminal investigation programme which hunts for “non-obvious relationships masked within hundreds of terabytes of data and trillions of objects in just seconds.”

Combining data from a vast range of sources, IBM claims that the new technology increases a business’ understanding of cyber threats, as well as offering greater visibility and subsequent improved security for the company.

The tech giant hopes that the newly developed EIA will help with the analysis of large volumes of data so that any weaknesses or possible crimes can be quickly detected.

“The solution unravels these hidden connections that can be divided by as many as six degrees of separation between disparate sources – from corporate records and social media chatter to data accessed by remote sensors and third-party applications,” IBM explained.

“As developments unfold, EIA provides always-on recommendations that proactively alert analysts to new related abnormalities at the speed of attack,” the spokesperson continued.

Highlighting the cost of cybercrime to the global economy, an estimated $445bn every year, Bob Griffin, general manager at i2, Threat and Counter Fraud, IBM underlined the importance of investing in effective Big Data and analytics tools in the fight against cybercrime:

“While most organizations understand how big data can help prevent the ever increasing threat of cybercrime, they are so overwhelmed by massive data volumes that they can’t act fast enough to turn it into meaningful intelligence to stop criminals.”

“With EIA, we’ve changed the ability of investigators to find that illusive needle in a haystack that helps them detect a cyber-attack. This provides any organization with always-on analytics that turns massive amounts of data into real-time insights in a way that simply wasn’t possible before,” concluded Griffin.


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