
Cliff Crosland
CEO and co-founder of Scanner.dev with expertise in security data lakes and AI-driven SecOps workflows, featured to discuss why data lakes are ideal for AI in the SOC.
Top 3 podcasts with Cliff Crosland
Ranked by the Snipd community

16 snips
Feb 6, 2025 • 38min
FCC around and find out.
Cliff Crosland, CEO and co-founder of Scanner.dev, shares insights on the evolving landscape of cybersecurity from a data management perspective. He delves into the concept of security data lakes, emphasizing their role in threat hunting and response. The discussion highlights the advantages of a 'bring your own' model, allowing organizations greater control over their data while utilizing vendor tools. With ransomware attacks declining, Crosland also touches on the importance of maintaining resilience and integrating innovative tools to navigate modern security challenges.

12 snips
Feb 19, 2025 • 52min
A crypto con exchange, and soaring ticket scams
Cliff Crossland, CEO and co-founder of Scanner.dev, discusses the dark history of the controversial Bitcoin exchange BTC-e and its role in cybercrime. He sheds light on how Alexander Vinnik became a geopolitical chess piece amid international law enforcement efforts. The conversation also dives into the alarming rise of ticket scams targeting concert-goers, where fans are urged to remain vigilant while purchasing tickets. Additionally, innovative data solutions for log management in cybersecurity are explored, showcasing how technology is evolving to combat these challenges.

Dec 2, 2025 • 47min
SIEM vs. Data Lake: Why We Ditched Traditional Logging?
Cliff Crosland, co-founder and CEO of Scanner.dev, shares his insights from his journey in transforming security data management. He discusses the high costs and challenges of traditional SIEMs, revealing how his initial attempts at building an in-house data lake hit major roadblocks. Cliff highlights issues like slow queries and the engineering lift required for usability. He also explores the potential of AI in enhancing detection engineering and offers advice on when to build or buy a data lake solution.


