Application Security , Artificial Intelligence & Machine Learning , Next-Generation Technologies & Secure Development
Context-Driven Security Fixes Root Causes, Not Alerts
Orca Security's Gil Geron on AI-Powered Remediation in Cloud Environments
Security teams struggle to proactively address risks in cloud-native environments that are increasingly complex, distributed and ephemeral, said Gil Geron, co-founder and CEO of Orca Security.
See Also: Agentic AI and the Future of Automated Threats
Traditional agent-based approaches fail when machines appear and disappear within minutes. Without accurate data and operational context, security teams risk issuing ineffective alerts that erode trust with engineering teams and fail to address underlying vulnerabilities.
Geron recommends shifting remediation to the source through infrastructure as code. "The opportunity to move remediation as much as possible to the left, to the code, to the code development, is tremendous." By fixing vulnerabilities at the root cause in code rather than chasing individual instances in production, organizations can transform millions of alerts into a handful of actionable fixes executed in minutes.
In this video interview with Information Security Media Group at AWS re:Invent 2025, Geron also discussed:
- The benefits of integrating AI capabilities into existing cloud and network infrastructure;
- Why simplicity is increasingly becoming a competitive advantage in cybersecurity;
- How security teams can transform long remediation cycles into rapid execution loops.
Geron has more than 20 years of experience leading and delivering cybersecurity products. Before co-founding Orca Security, Geron spent nearly 11 years at Check Point Software, culminating in a 19-month stint overseeing the company's cybersecurity gateway and cloud products.
