IDG Contributor Network: 3 security analytics approaches that don’t work (but could) — Part 2
A security analytics approach that exploits the unique strengths of Bayesian networks, machine learning and rules-based systems—while also compensating for or eliminating their individual weaknesses—leads to powerful solutions that are effective across a wide array of security missions.
Despite the drawbacks of security analytics approaches I described in part 1 of this series, it's possible to build such solutions today, giving users a way to rapidly identify their highest-priority security threats at very large scale without being deluged with false-positive alerts or being forced to hire an army of extra analysts.
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