Today’s focus was on deepening my understanding of automation, particularly as it relates to Python and SOAR tools. I’ve continued working on improving my automation capabilities, experimenting with Python scripts and exploring how to use APIs to pull data and automate tasks more effectively. It’s a journey of both technical and personal growth.
The Evolution of SOAR
SOAR (Security Orchestration, Automation, and Response) was my first real introduction to automation in cybersecurity. For those unfamiliar, SOAR playbooks are predefined workflows that automate and streamline incident response tasks, enabling analysts to focus on more complex problems. When I first encountered SOAR tools, I was amazed by their potential. However, I also found them overwhelming, especially while juggling incident response and other projects.
The article, SOAR Is Dead, Long Live SOAR, highlights how SOAR tools are evolving to meet the demands of modern cybersecurity challenges. With the SOAR market projected to reach $5.5 billion by 2032 (source), it’s clear this technology isn’t going away. It’s becoming increasingly sophisticated, and I’m excited to see where it goes.
Overcoming Imposter Syndrome
Having spent over five years in cybersecurity, I’m finally learning how to manage imposter syndrome. I’ve never subscribed to the “fake it until you make it” mindset. Instead, I follow what I call the “take it until you make it” approach: take on uncomfortable tasks, embrace the strange and unfamiliar, and let those challenges shape you into someone more capable.
I’ve had the privilege of working alongside incredible analysts, engineers, managers, and board members. Their support has been invaluable, even if my reserved nature prevents me from expressing my gratitude openly. Writing this is a small tribute to them and a reminder to myself to lean into discomfort as a catalyst for growth.
The Changing Role of AI
As automation and AI become more ingrained in cybersecurity, the ways we interact with these tools continue to evolve. Articles like OpenAI’s Economic Blueprint and CNBC’s “Ask Great Questions” highlight the shift toward using AI as more than just a tool. It’s becoming a partner in problem-solving, helping us ask better, more thoughtful questions.
However, with great potential comes great complexity. OpenAI’s tools have been used in ways they never anticipated, often as search engine replacements. This shift was even noted in a podcast I listened to mid-last year, predicting that traditional search engines would transform with AI’s integration. Feedback from live discussions and podcasts continues to show that people are using AI tools in diverse, often unexpected ways, not just for answers, but for insight and creativity.
Balancing Analysis and Action
It’s tempting to get lost in the noise of news, opinions, and predictions. Articles like New York Times: OpenAI and Microsoft and 34 Cybersecurity Statistics remind me of the enormity of the challenges ahead. But the key, I’ve found, is to balance analysis with action.
Today, that action took the form of continuing my automation training and engaging with others on how AI tools shape their workflows and perspectives. It’s about small, consistent steps, improving scripts, refining playbooks, and asking better questions.
A Tribute to Progress
In reflecting on the journey so far, I’ve realized that growth often happens in the quiet moments, the late nights spent writing code, the hours poured into understanding a new tool, the silent gratitude for mentors and colleagues. These moments may not make headlines, but they shape the path forward.
How are you balancing reflection and action in your journey with AI or cybersecurity? Let’s share perspectives and grow together as we navigate this ever-changing landscape.
