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Artificial Intelligence (AI) is creating a brand new frontier in information security. Systems that independently learn, reason and act will increasingly replicate human behavior. However, like humans, they will be flawed, but capable of achieving incredible results. AI is already finding its way into many mainstream business use cases and business and information security leaders alike need to understand both the risks and opportunities before embracing technologies that will soon become a critically important part of everyday business. Organizations use variations of AI to support processes in areas including customer service, human resources and bank fraud detection. However, the hype can lead to confusion and skepticism over what AI actually is and what it really means for business and security.  What Risks Are Posed by AI? As AI systems are adopted by organizations, they will become increasingly critical to day-to-day business operations. Some organizations already have, or w

Corporate IT security professionals are bombarded every week with information about the capabilities and benefits of various products and services. One of the most commonly mentioned security products in recent years has been Security Information and Event Management (SIEM) tools. And for good reason. SIEM products provide significant value as a log collection and aggregation platform, which can identify and categorize incidents and events. Many also provide rules-based searches on data. While often compared to user and entity behavior analytics (UEBA) products, SIEMs are a blend of security information management (SIM) and security event management (SEM). This makes SIEMs adept at providing aggregated security event logs analysts can query for  known security threats. In contrast, UEBA products utilize machine learning algorithms to analyze patterns of human and entity behavior in real time to uncover anomalies indicative of known and unknown threats. Let’s consider the fi

Artificial Intelligence (AI) is creating a brand new frontier in information security. Systems that independently learn, reason and act will increasingly replicate human behavior. However, like humans, they will be flawed, but capable of achieving incredible results. AI is already finding its way into many mainstream business use cases and business and information security leaders alike need to understand both the risks and opportunities before embracing technologies that will soon become a critically important part of everyday business. Organizations use variations of AI to support processes in areas including customer service, human resources and bank fraud detection. However, the hype can lead to confusion and skepticism over what AI actually is and what it really means for business and security.  What Risks

Corporate IT security professionals are bombarded every week with information about the capabilities and benefits of various products and services. One of the most commonly mentioned security products in recent years has been Security Information and Event Management (SIEM) tools. And for good reason. SIEM products provide significant value as a log collection and aggregation platform, which can identify and categorize incidents and events. Many also provide rules-based searches on data. While often compared to user and entity behavior analytics (UEBA) products, SIEMs are a blend of security information management (SIM) and security event management (SEM). This makes SIEMs adept at providing aggregated security event logs analysts can query for  known security threats. In contrast, UEBA products