White Ops for Web Security

Bots used to be relatively easy to detect with a rules-based approach because bots performed very rapid, repetitive tasks. But, bots have evolved considerably and can now almost perfectly impersonate human behaviors. This evolution means the rules-based approach, which is designed to block common attack patterns, is much less effective. To provide clients with the best defenses, WAFs should partner with specialists that can detect bots in a different way.

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WAFs have traditionally used a rules-based system to find bots. But, as sophisticated evolve to effectively mimic human behavior -- by infecting residential computers and stealing cookies, browsing times, and behavioral patterns -- many bots are simply breaking fewer and fewer rules. Any attempt to find the smallest irregularity is becoming increasingly difficult.

Bots are exhibiting many behaviors that cause them to look more human, which have made them more deft at evading detection. For example, over 75 percent of the fraud observed in this year’s study came from computers containing both a human and a bot on the same machine.

Instead of relying on traditional, anomaly-based detection, White Ops investigates each transaction for signs of automation. This investigative approach ensures that our detection is uncorrelated to your existing efforts and ensures there is a human on the other end of every transaction.

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Why This Internet Worked, And How We Could Lose It

Watch White Ops co-founder Dan Kaminsky deliver the 2016 Black Hat keynote address. He discusses why our internet has worked so far, and why that might be changing.

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