Sweet Security Eyal Fisher runtime detection cloud security

Exploring the Future of Cloud Security

TechSpective Podcast Episode 138

 

Cloud environments have transformed the way organizations operate, but they’ve also introduced new challenges for cybersecurity teams. In the latest episode of the TechSpective Podcast, I sit down with Eyal Fisher, CPO of Sweet Security, to dive deep into the evolving landscape of cloud security and the innovative solutions needed to stay ahead of threats.

Tackling Cloud Security’s Unique Challenges

Cloud environments are massive, dynamic, and present a much larger attack surface than traditional on-premises setups. This complexity makes real-time threat detection particularly difficult. As Eyal Fisher explains, traditional security tools designed for endpoints or on-prem environments struggle to scale effectively in the cloud. The key is understanding the unique nature of cloud infrastructure and using technologies that are purpose-built for it.

eBPF and Runtime Detection

One of the highlights of the conversation is how Sweet Security leverages eBPF (Extended Berkeley Packet Filter) technology to gather deep insights into cloud environments without complex deployment processes. Eyal emphasizes that detecting threats in runtime — while the cloud environment is active — is crucial to pinpointing real risks amidst the noise generated by everyday operations.

Addressing Non-Human Identities

Another critical issue is the explosion of non-human identities in cloud environments. These include APIs, machine-to-machine interactions, and service-to-service communications. Traditional identity security methods, like multi-factor authentication, focus on human users and miss the majority of risks. Eyal outlines how Sweet Security’s runtime approach helps prioritize non-human identities that need immediate attention based on actual behavior.

AI and the Future of Cybersecurity

AI is transforming the cybersecurity industry, and Sweet Security is at the forefront of using AI and Large Language Models (LLMs) to improve cloud defenses. Fisher shares how AI helps their solution analyze environments, reduce response times, and even assist SOC teams in investigating incidents more effectively.

A Holistic Approach to Cloud Defense

What sets Sweet Security apart is their all-layer defense strategy. Unlike other solutions that focus on either the infrastructure, cloud, or application layer, Sweet covers all three. This comprehensive approach ensures threats can be detected no matter where they originate — from the application layer down to the cloud infrastructure.

Tune in to the full episode to learn more about how runtime detection, non-human identity security, and AI are reshaping the way organizations approach cloud security. The podcast itself is audio-only, but the video of our conversation is also available on YouTube if you prefer:

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