CTEM Blog, ImmuniWeb Blog, Webinar
ImmuniWeb Webinar | Continuous Threat Exposure Management: From Attack Surface Discovery to Risk Remediation
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Join us as we unravel the power of Continuous Threat Exposure Management (CTEM)—a game-changing approach to proactive cybersecurity.

Learn how ImmuniWeb Discovery simplifies CTEM with cutting-edge automation, unmatched scalability, and actionable insights that empower your team to stay ahead of evolving threats. Discover practical strategies to seamlessly integrate CTEM into your DevSecOps workflows, enhancing threat detection, incident response, and regulatory compliance.
Whether you’re an IT professional, a DevSecOps enthusiast, or a compliance officer, this webinar will equip you with the tools and knowledge to tackle modern cyber risks with confidence.
Agenda Highlights
- Continuous Threat Exposure Management (CTEM) and Best Practices
- CTEM in ImmuniWeb Discovery: Features and Benefits
- ImmuniWeb Cyber Security Compliance in Asia Pacific
- Live Demo of ImmuniWeb Discovery
- Q&A Session
Speaker Profile

Dr. Ilia Kolochenko
CEO & Chief Architect at ImmuniWeb

Vasudev Pai
Head of Operations at LOGON Software Asia

Ashwin V. V.
Cyber Security Consultant at LOGON Software Asia
About ImmuniWeb
The award-winning ImmuniWeb AI Platform helps over 1,000 customers from more than 50 countries discover, test, and protect their web and mobile applications, APIs, microservices, cloud and network infrastructure, and third-party systems that process corporate data.
Providing one of the most comprehensive offerings in the industry, the Platform covers 20 use cases related to cybersecurity, compliance, and privacy. ImmuniWeb’s proprietary technology has received numerous awards and industry recognitions for its practical application of AI, including being named a Gartner Cool Vendor, an IDC Innovator, and a SC Awards Europe winner. Our Machine Learning technology stack considerably reduces the application security costs of our customers by automating laborious and time-consuming tasks, significantly accelerating them in parallel.
