Across the cybersecurity industry, you can practically feel the vacillation between rapid adoption and unyielding hesitation.
Security pros are justifiably tentative about artificial intelligence.
Hollywood portrays AI risks as sentient robots who aim to take over the world; the real-world danger is less fantastic but can harm an organization's cybersecurity posture.
With hype surrounding AI, often touting it as a security panacea, relying too heavily on tech and not enough on human expertise.
Although the market's AI enthusiasm can lead to exaggeration, there are pragmatic approaches to integrating AI technologies into a cybersecurity program - strategies that keep humans in control.
A number of security challenges simply cannot be solved at scale with humans alone.
Their security people need fewer repetitive, monotonous tasks; they need less noise and more signal.
AI automation can reduce human intervention in the drudgery, allowing them to make context-rich, nuanced decisions - and making them faster.
AI automation can address the overwhelming information security analysts encounter, and upon closer examination, it can help with a variety of repetitive tasks, getting your team out of the weeds.
Efficient Rule Drafting: The arduous task of drafting detection rules has traditionally consumed significant human bandwidth and involved lots of guesswork.
Seamless Integration and Orchestration: Many of today's security tools integrate with hundreds of applications, increasing functionality but not necessarily simplicity.
Here, AI bots play a pivotal role by automating the bulk of integration processes, ensuring that cybersecurity infrastructures remain cohesive even as they evolve.
Addressing the Overloaded Analysts: Amid the chorus of cybersecurity challenges, information overload facing analysts often takes center stage.
AI can help sift through this digital noise, highlighting legit threats, and when orchestrated effectively, enables collaboration across a security function.
This helps organizations more quickly act on context-rich insights and move from a reactive to proactive security posture.
The Meta Automation: The concept of 'automating automation' might sound abstract, but in a cybersecurity context, it's a reality.
Effortless Documentation: Crafting exhaustive documentation and reports, a task many professionals find tedious, can be addressed using AI. By automating this process, AI ensures consistency, thoroughness, and timeliness in reporting, alleviating one more monotonous burden from the human workforce.
To get beyond the blustering, we must focus our attention on the practical use cases that do the heavy computational lifting so that security teams can focus on higher-impact projects that better secure the organization.
Avkash Kathiriya is the Senior Vice President of Research and Innovation for Cyware with substantial experience in the information security domain, product management, and business strategy.
He's a popular speaker on cybersecurity strategy and trends, and has served as an advisory board for multiple security startups.
This Cyber News was published on www.cyberdefensemagazine.com. Publication date: Mon, 18 Dec 2023 06:28:05 +0000