The AI hacker that can predict 85 per cent of cyberattacks: MIT’s Minority-report style algorithm can …
System combs through billions of data and can detect suspicious activityIt then sorts this activity into ‘normal’ and ‘abnormal’ groups of dataPotential attacks are then presented to human analyst for confirmationThen, the system uses feedback from the exchange to improve detection By Cheyenne Macdonald For Dailymail.com Published: 23:52, 18 April 2016 | Updated: 23:52, 18 April 2016 A new artificial intelligence system developed by researchers at MIT merges human and machine capabilities to hunt potential cyber-attacks and weed out false positives.Called AI2, the platform acts as a virtual analyst and has so far proven its ability to detect 85 percent of attacks.As the system presents its findings to human analysts, feedback is incorporated to continually improve its detection rates.Scroll down for video A new artificial intelligence system developed by researchers at…
Link to Full Article: The AI hacker that can predict 85 per cent of cyberattacks: MIT’s Minority-report style algorithm can …
The AI hacker that can predict 85 per cent of cyberattacks: MIT's Minority-report style algorithm can …
