Artificial intelligence (AI) is poised to make rapid advancements and its impact is already being felt in many aspects of the enterprise organization.

And no surprise, cyber-attackers are leveraging machine learning and other AI-related technologies to carry out more frequent and more sophisticated attacks.

As these technologies proliferate, however, the dilemma becomes how the tools can shape the future of cyber security – and specific practices as they relate to the enterprise. For example, will AI streamline incident response and pare down the exorbitant number of notifications that a security team fields on a daily basis?

AI resources will likely enhance enterprise and consumer security, and change the tech ecosystem. But what role does the InfoSec officer play in this digitally augmented world? Where do the needs of each intersect and how will that shape cyber security’s trajectory?

Is Machine Learning Mature Enough For Mission-Critical Enterprise Workflows?

While AI is the glossy new solution that C-level executives may be after, it is still embryonic and in proof-of-concept stage even in the most tech-savvy organizations. How quickly will that phase change, and progress toward more uniformity?

Basic automation tools are capable of gathering and organizing data into reports that human agents can then use to forecast and plan. With machine learning, that data can be analyzed by AI at a rate of speed and accuracy far greater than humans are capable of. The analysis and actions taken maintain a human-in-the-loop process. In the end, automation is helping humans make data-driven and more accurate business decisions.

Despite some glowing reviews of AI projections in the workspace, the technology must still evolve and advance. It is accompanied by a plethora of challenges, some of which include the security team’s knowledge base and the prospect of data overload.

Market Report Describes Crossover Opportunity

Cyber Security Hub developed a special report to dissect this crossover – between today’s AI solutions and their immediate impact within the security operations center (SOC). AI and machine learning capabilities beyond the cyber security sphere may have already encountered rapid growth (automation, weapons guidance, threat intelligence, etc.), but as it stands within the enterprise, they currently augment, reduce overhead and serve as an added layer of defense, which sit behind various other tools.

Read the full market report, “Cyber Security & AI: Intersecting Needs With Innovation,” for no cost. The report discusses the need for AI in cyber security, accepting change in process and mindset with data-driven insights, and the road ahead for use of AI in both offensive and defensive security activities.