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Opinion: AL and ML choices can dramatically impact data security
As networks have advanced in complexity, so have the tools and tactics of cybercriminals. Organizations increase their cybersecurity budgets and teams, yet breaches keep occurring. In the fight for stronger security, vendors are offering up AI and machine learning as a Holy Grail. But do these technologies actually deliver? Frequent headlines make it clear that cybercriminals are currently winning battles regularly. A successful intrusion attempt need only find a single flaw in an enterprise defense, while security teams are dealing with the increasing complexity of more instrumentation, tools, data and alerts that add to the attack surface. The increased attack surface just increases alert fatigue and distracting noise, leaving organizations looking for a better solution. Vendors tout AI and machine learning as that better solution, but the reality is that they could actually exacerbate the existing problems and perpetuate the disadvantaged posture of security teams today.
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