China hijacked 70,000 European internet routes, analysts say American Military News
European internet traffic took an unusual turn last week when it was hijacked by China and re-routed through Chinese gateways, researchers found. A Border.
Newsweek |
US Government Cybersecurity Lags Behind That of a Fast Food Joint, Say Analysts
Newsweek “There's still a chance for more breaches to come of classified databases of personnel, even if it doesn't come from OPM,” he said. “Perhaps it comes from a partner that handles the data or maybe from a different branch of government that processes … |
This vendor-written tech primer has been edited by Network World to eliminate product promotion, but readers should note it will likely favor the submitter’s approach.
Everyone says there is an information security talent gap. In fact, some sources say the demand for security professionals exceeds the supply by a million jobs. Their argument is basically this: attacks are not being detected quickly or often enough, and the tools are generating more alerts than can be investigated, so we need more people to investigate those alarms.
Makes sense, right?
Wrong.
We believe that, even if companies aroaund the world miraculously hired a million qualified InfoSec professionals tomorrow there would be no change in detection effectiveness and we would still have a “talent gap.” The problem isn’t a people issue so much as it is an InfoSec infrastructure issue.
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Startup PatternEx with roots in MIT’s artificial intelligence lab is launching a security platform it says employs artificial intelligence by learning from input it gets from human security analysts about data exfiltration and bank fraud incidents that it flags.
It monitors firewall logs and traffic in and out of the network and alerts customer analysts of suspicious traffic that might represent malware connecting to command and control servers or transferring data out of the network, says PatternEx CEO Uday Veeramachaneni, a co-founder of the company.
The AI engine is fed information about how the analyst responds to each notification and the algorithm running it incorporates that input into refining its predictive model of how the analyst will react. That way, over time, it sends fewer false positives, Veeramachaneni says.
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