Eyal Benishti | Source | CEO at IRONSCALES
Eyal Benishti
As Chief Executive Officer at IRONSCALES, Eyal Benishti pioneered the development of the world’s first self-learning email security solution that combines AI, machine learning, and human insights to automatically stop advanced phishing, BEC, and account takeover attacks.
Eyal brings to his executive leadership role over 15 years of software industry experience with enterprise and startup companies. Prior to founding IRONSCALES in 2013, he was a security researcher and malware analyst at Radware and worked as technical lead for various information security solutions at Imperva.
Previously, he held a variety of R&D roles with Comverse and Amdocs. A passionate cybersecurity researcher from a young age, Eyal earned his bachelor’s degree in computer science and mathematics from Bar-Ilan University in Israel.
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IRONSCALES
CEO
started Dec 2013 -
Radware
Security Researcher & Malware analyst
Aug 2012 – Nov 2013 -
Imperva (https://www.imperva.com/)
Java Tech Lead
Aug 2011 – Aug 2012
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Reducing Cyberattacks Against Manufacturing Starts & Stops With Phishing Mitigation
The proliferation of cyberattacks targeting manufacturers, not just in the United States, but also across the globe, may be the industry’s biggest threat.
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With phishing, Verizon study shows a better self-report card
There are more employees than ever who are telling IT about suspicious emails, according to Verizon’s DBIR.
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CISOs pursuing AI readiness should start by updating the org’s email security policy - Help Net Security
This list offers CISOs a solid starting point to update and refine policies, providing a crucial head start in the race for AI readiness.
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Rogue Content: A Growing Threat Beyond Shadow IT
Eyal warns that rogue content, unlike Shadow IT, "lacks control, leading to security and compliance blindspots." Common sources include personal cloud storage and generative AI. He suggests using AI/ML models for detection and stresses the role of organizational culture in its spread. Eyal urges investment in AI detection technologies to combat these evolving threats. -
Defending Against Deepfakes: A Multi-Layered Approach
Eyal emphasizes a multi-faceted defense against deepfakes, combining technology, training, and policy measures. "Emerging AI tools can detect synthetic manipulations," he notes. Robust security-awareness training and strict verification protocols are crucial. Organizations should focus on financial operations, adopt secondary verification for high-risk requests, and have a crisis management plan to mitigate potential attacks. -
CIOs Urged to Combat Voice Cloning Threats with Education and Verification
Eyal warns of the "Wild West era" of deepfake tech, urging CIOs to adopt education, verification protocols, and interactive testing. He emphasizes training on deepfake indicators and phishing simulations. Implementing verification policies like segregation of duties and multi-step authentication, along with fostering a culture of skepticism, are key to defending against voice cloning threats.
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While email phishing is the oldest and most recognizable cyberattack technique, it remains an extremely complex problem that today requires the power of both artificial and human intelligence in an ongoing cycle of innovation for it to have any positive effect on an organization’s security posture.
