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Artificial Intelligence is transforming cybersecurity—but will it ever replace human judgment in the SOC? In this episode of Discover Dialogues, Nikhil sonawane, Media Relations Lead at TechDogs sits down with Chloe Burton, Manager of Detection Engineering at Deepwatch, to explore how AI, automation, and human expertise intersect in modern threat detection.Chloe’s journey into cybersecurity wasn’t a straight line. From starting in psychology to working helpdesk, to becoming a Splunk expert, and finally leading detection engineering at one of the most innovative MDR providers in the industry, her career has been shaped by adaptability, curiosity, and a passion for mentorship.In this conversation, Chloe shares why “human-in-the-loop” thinking is critical in detection engineering. While AI offers speed, scale, and automation, she explains why the human perspective remains irreplaceable—especially when adversaries are using AI to launch increasingly sophisticated attacks.We cover:• Chloe’s unconventional career path from consulting to detection engineering leadership• How AI and automation fit into the detection development lifecycle• Why “robot-on-robot energy” is the new normal in cyber defense• What a healthy detection engineering practice looks like today• How to measure SOC maturity beyond traditional KPIs like MTTX• Shifting from alerts-first to context-first threat detection• The mindset shift security teams must make to stay ahead of adversaries• Chloe’s leadership philosophy: empowerment over micromanagement• Rule #1 for surviving—and thriving—in a cybersecurity career
🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAbout Chloe Burton:Chloe Burton is Manager of Detection Engineering at Deepwatch. She has led detection engineering and SOC transformation projects for global enterprises, developed go-to-market strategies for security solutions, and built high-performance cyber teams. A strong advocate for diversity and mentorship in technology, she is committed to empowering the next generation of cybersecurity professionals.Chloe also discusses her approach to team-building and leadership. She explains how empowerment builds loyalty and how micromanagement stifles innovation. For her, strong detection engineering isn’t just about systems and metrics—it’s about people.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.Whether you’re a SOC manager, detection engineer, CISO, or simply curious about the future of AI in security, this episode delivers practical strategies and leadership insights you can apply today.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com
By TechDogsArtificial Intelligence is transforming cybersecurity—but will it ever replace human judgment in the SOC? In this episode of Discover Dialogues, Nikhil sonawane, Media Relations Lead at TechDogs sits down with Chloe Burton, Manager of Detection Engineering at Deepwatch, to explore how AI, automation, and human expertise intersect in modern threat detection.Chloe’s journey into cybersecurity wasn’t a straight line. From starting in psychology to working helpdesk, to becoming a Splunk expert, and finally leading detection engineering at one of the most innovative MDR providers in the industry, her career has been shaped by adaptability, curiosity, and a passion for mentorship.In this conversation, Chloe shares why “human-in-the-loop” thinking is critical in detection engineering. While AI offers speed, scale, and automation, she explains why the human perspective remains irreplaceable—especially when adversaries are using AI to launch increasingly sophisticated attacks.We cover:• Chloe’s unconventional career path from consulting to detection engineering leadership• How AI and automation fit into the detection development lifecycle• Why “robot-on-robot energy” is the new normal in cyber defense• What a healthy detection engineering practice looks like today• How to measure SOC maturity beyond traditional KPIs like MTTX• Shifting from alerts-first to context-first threat detection• The mindset shift security teams must make to stay ahead of adversaries• Chloe’s leadership philosophy: empowerment over micromanagement• Rule #1 for surviving—and thriving—in a cybersecurity career
🔔 Subscribe to our channel now: https://tinyurl.com/TDYTSubAbout Chloe Burton:Chloe Burton is Manager of Detection Engineering at Deepwatch. She has led detection engineering and SOC transformation projects for global enterprises, developed go-to-market strategies for security solutions, and built high-performance cyber teams. A strong advocate for diversity and mentorship in technology, she is committed to empowering the next generation of cybersecurity professionals.Chloe also discusses her approach to team-building and leadership. She explains how empowerment builds loyalty and how micromanagement stifles innovation. For her, strong detection engineering isn’t just about systems and metrics—it’s about people.About Discover Dialogues:Discover Dialogues is a thought leadership podcast where we bring in industry experts, innovators, and thought leaders to discuss the future of technology, business strategy, and digital transformation. From AI and cybersecurity to product leadership and identity management, our guests share their knowledge and experiences to help you stay ahead in the digital era.Whether you’re a SOC manager, detection engineer, CISO, or simply curious about the future of AI in security, this episode delivers practical strategies and leadership insights you can apply today.🔔 Subscribe to stay ahead of enterprise tech trends: https://www.techdogs.com/newsletter 🌐 Visit us at: https://www.techdogs.com