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Johnny Karalis
Senior Enterprise Account Executive
Johnny Karalis is a Senior Enterprise Account Executive at Darktrace, a company specializing in AI-driven cybersecurity solutions.1 He is based in Los Angeles, California, and has been working in this role since February 2024.1
Professional Experience
Johnny has a strong background in sales within the tech industry:
- He joined Darktrace in July 2022 as an Enterprise Account Executive and was promoted to his current senior position in February 2024.1
- During his time at Darktrace, he has achieved notable success, including being named Darktrace AE Rookie of the Year for the Americas in FY23 and earning a spot in the President's Club FY23.1
- Prior to Darktrace, Johnny worked at Supplyframe, where he held positions as an Account Executive and Senior SDR.1
Responsibilities and Expertise
In his current role, Johnny:
- Works closely with C-suite executives, IT leaders, and security teams to understand their unique challenges.1
- Tailors advanced AI-driven solutions to protect network, cloud, and email environments from sophisticated cyber threats.1
- Has successfully led numerous high-stakes projects across various industries, including finance, healthcare, hospitality, and entertainment.1
Education and Skills
- Johnny holds a Bachelor of Science degree in Entrepreneurship & Innovation from the University of San Francisco (2016-2018).1
- He has a certification in Commercial Insights, Sales Process & Execution from Challenger, issued in June 2021.1
Johnny Karalis has demonstrated expertise in AI cybersecurity and a track record of success in enterprise sales, particularly in the field of advanced threat protection and AI-driven security solutions.
Highlights
In MITRE's Engenuity ATT&CK Evaluations, seven of the nine key metrics are part of the Incident Response timeline.
But two critical metrics actually come into play before an incident even happens—these are in the Pre-Detection stage:
✅ Preventions Per Intrusion Attempt (PPIA) ✅ False Positive Reduction Rate (FPRR)
This is where Unsupervised Machine Learning (ML) shines. It excels at detecting anomalies that could indicate a potential threat, even before many traditional, signature-based solutions can catch them.
Interested in learning how Darktrace is improving these metrics and more? Feel free to reach out to me directly to discuss how we're helping organizations reduce their risk of a data breach while also reducing their overall security costs.
Get ready to dive into the future of cybersecurity with Darktrace at Black Hat USA!
Booth #1540 is the place to be! Darktrace's team of subject matter experts will be on hand to explore the latest in the evolving threat landscape and showcase how our AI-powered platform approach can help! 🛡️
Check out how to meet us and be part of the conversation; see you there! 👇
🔗 https://lnkd.in/gpyFYAFX
