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4. The Meta Automation: The concept of 'automating automation' might sound abstract, but in a
cybersecurity context, it's a reality. AI is at the forefront of constructing automation playbooks, a move
that multiplies response speed and adaptability. This can dramatically reduce the time required to build,
test, and maintain effective playbooks.
5. 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.
Not All the AI – The Right AI
AI is an overused buzzword, often accompanied by hyperbole and an inflated sense of urgency. Coupled
with the baggage stemming from first generation AI tools, it’s no surprise that there is tremendous
uncertainty about how and when to use it. 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.
About the Author
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.
He can be reached at https://cyware.com/company/contact-us and on
X (formerly Twitter) at @CywareCo
Cyber Defense eMagazine – October 2023 Edition 45
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