AI in Cybersecurity
Artificial intelligence (AI) technologies are being used in a variety of tools—but are decision-makers adopting AI in cybersecurity?
One minute insights:
- How many are already using AI tech in their cybersecurity tools
- What are the perceived benefits and challenges of AI in cybersecurity
- Which aspects of cybersecurity will benefit most from AI?
Many are already using AI in their cybersecurity tools—and are satisfied with the results
Of those who aren’t currently using AI tech in their cybersecurity tools, over two-thirds (67%) are willing to consider using AI in the future.
[A]ny security provider that wants to exist in the future needs to consider AI.
Decision-makers think detection speed and predictive capabilities are the main AI benefits, but worry about talent gaps and costs
The main perceived benefits of using AI in cybersecurity are to increase detection speed (74%), utilize predictive capabilities (67%), and reduce errors (53%).
As for concerns about using AI in cybersecurity tools, decision-makers worry about finding the talent to implement the tools (63%), affording the costs (55%), and accommodating for tech stack complexities (50%).
Privacy preserving AI techniques will need to be considered heavily.
[We] need to hire more talent. [It’s] difficult to grow our own.
AI will benefit network and IAM security—and most agree it will reduce successful zero-day incidents
Looking at which aspects of cybersecurity will benefit most from AI tech, most decision-makers chose network security (65%) and identity and access management (IAM) (64%).
86% of decision-makers believe the use of AI technology in cybersecurity tools will 86% reduce the success of zero-day security incidents.
[AI can] help catch the thief [on entry] rather than chasing [them] after the damage is done.
Decision-makers believe AI is the future of cybersecurity
[AI in cybersecurity is] an emerging area that we’d like to hear more success stories [about].
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