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Home - News & Analysis - EIBM Watson Trained to Spot CyberCrime Attacks
News & Analysis

EIBM Watson Trained to Spot CyberCrime Attacks

ISB Editorial StaffBy ISB Editorial StaffMay 18, 20162 Mins Read
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How will this speed up or increase detection of cybercrime?

Although the details are scarce in the original press release, IBM applies Watson to other areas of science as a kind of knowledge base. It guides its user toward of a potential solution by showing highly relevant articles from its corpus. If we apply the same idea to IT security, user would be a security analyst who is tasked with analyzing a specific potential incident. This work can definitely be made more efficient, however it doesn’t mean that Watson alone would be able to protect the organization.

If this approach gains broad acceptance, will it result in thousands of job losses in the cyber security industry?

Cyber security is struggling with acquiring and retaining talent. Anything that makes security processes more efficient is welcome by the security community.

Will it be more effective than a highly-trained cybersecurity professional? How else could it change cybersecurity?

The odds in security operations are often on the attacker’s side, because the defense team only needs to make one mistake and they are in. Traditional security tools are good enough to thwart the automated, broad attacks, but struggle with determined, innovative human attackers.

Artificial intelligence is yet to show its full potential within security. I believe that this potential is high, and that it can deliver benefits that will help our quest against targeted attacks.

[su_box title=”About Balázs Scheidler” style=”noise” box_color=”#336588″][short_info id=’68879′ desc=”true” all=”false”][/su_box]

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