Webinar Description
Key Takeaways
- Examines the practical capabilities and limitations of artificial intelligence in vulnerability detection
- Addresses emerging security risks introduced by AI-generated code and large language models
- Covers integration of automated security scanning within CI/CD pipelines
- Relevant to application security engineers, DevSecOps teams, security architects and CISOs
- Led by Dr. Ilia Kolochenko, ImmuniWeb Founder and Chief Architect
- Offers CPE credits and professional certification opportunities
Introduction
ImmuniWeb presents “Vulnerability Detection with AI: Hype and Reality,” a webinar designed to help cybersecurity professionals separate genuine capability from marketing claims when evaluating AI-driven security tools. Scheduled for July 23, 2026, this 60-minute session targets application security engineers, DevSecOps practitioners, security architects and IT security managers who need to understand how artificial intelligence actually performs in vulnerability detection scenarios. The timing is particularly relevant as organisations increasingly adopt AI-assisted coding tools while simultaneously facing new threat vectors that these same technologies introduce.
The proliferation of large language models in software development has created a paradox for security teams. While AI promises to accelerate vulnerability identification and remediation, it simultaneously generates code that may contain novel security flaws unfamiliar to traditional scanning tools. This webinar addresses both sides of that equation, offering practical guidance for professionals navigating an application security landscape transformed by generative AI.
About This Event
The webinar is hosted by ImmuniWeb and led by Dr. Ilia Kolochenko, the company’s Founder and Chief Architect. Dr. Kolochenko brings technical depth to the discussion, focusing on real-world implementation rather than theoretical possibilities. The session runs for 60 minutes in an interactive format with live subtitles available in more than 35 languages. Two identical sessions are offered to accommodate participants across different time zones.
Attendees can earn Continuing Professional Education credits, and the event provides a pathway to becoming an ImmuniWeb Certified Professional. The session incorporates hands-on elements related to ImmuniWeb’s Neuron and Neuron Mobile platforms, which handle web and mobile application security testing respectively.
AI in Vulnerability Detection: Capabilities and Constraints
A central theme of the webinar involves establishing realistic expectations for AI-driven vulnerability detection. The security industry has seen substantial investment in machine learning and artificial intelligence capabilities, yet the practical effectiveness of these tools varies considerably depending on application type, codebase complexity and the specific vulnerabilities being targeted.
The session examines where AI excels in security testing—such as pattern recognition across large codebases and identification of known vulnerability signatures—while also acknowledging areas where human expertise remains essential. This balanced perspective helps security professionals make informed procurement and implementation decisions rather than adopting tools based on marketing claims alone.
Risk-based application security testing forms another key discussion area. Rather than treating all vulnerabilities equally, modern security programmes must prioritise based on exploitability, business impact and the specific threat landscape facing each organisation. AI can assist in this prioritisation, but only when properly configured and integrated with existing security workflows.
Security Risks from AI-Generated Code
The widespread adoption of AI coding assistants has introduced security considerations that many development teams have yet to fully address. Large language models trained on public code repositories may reproduce vulnerable patterns, deprecated functions or insecure configurations present in their training data. The webinar explores these risks in the context of the OWASP Top 10 for Large Language Models, a framework that catalogues the most critical security concerns specific to LLM-powered applications.
Beyond code generation, organisations face risks when AI systems interact with sensitive data during development and testing processes. The session addresses data privacy considerations and strategies for maintaining confidentiality when incorporating AI tools into security workflows. Understanding these risks is essential for organisations subject to regulatory requirements around data protection and secure software development practices.
Integrating Security Scanning into CI/CD Pipelines
DevSecOps practices require security testing to occur continuously throughout the development lifecycle rather than as a final gate before deployment. The webinar covers automation of security scanning within CI/CD pipelines, addressing the technical and organisational challenges that teams encounter when shifting security left.
Integration capabilities discussed include connections with major cloud platforms and development tools. ImmuniWeb’s platforms support integrations with AWS, Google Cloud, Microsoft Azure, Azure Pipelines, GitHub, GitLab and Jira for workflow management. Additional integrations with Okta for identity management, Splunk for security information and event management, and communication platforms such as Slack and Microsoft Teams enable security findings to flow into existing operational processes.
The practical challenge for many organisations lies not in the availability of integration options but in configuring these connections to provide actionable intelligence without overwhelming development teams with false positives or low-priority findings. The session addresses common pitfalls in pipeline integration that can lead to security fatigue or, conversely, to genuine vulnerabilities being overlooked.
Web and Mobile Application Security Testing
The webinar provides guidance on security testing for both web applications and mobile platforms, recognising that modern organisations typically maintain application portfolios spanning multiple deployment models. API security receives particular attention, reflecting the central role that application programming interfaces play in contemporary software architectures.
ImmuniWeb Neuron handles web application and API security scanning, while Neuron Mobile addresses the distinct requirements of mobile application testing. Mobile security testing presents unique challenges including analysis of client-side code, examination of data storage practices on devices, and assessment of communication security between mobile applications and backend services.
Who Should Attend
The webinar is designed for professionals with direct responsibility for application security within their organisations. This includes application security engineers who conduct or oversee security testing, DevSecOps team members integrating security into development pipelines, and security architects designing secure application frameworks.
CISOs and IT security managers will find value in the strategic perspective on AI adoption in security programmes, particularly regarding realistic capability assessment and resource allocation. The session also serves organisations developing or maintaining web applications, mobile applications and APIs who need to evaluate their current security testing approaches against evolving threats and industry practices.
Professionals seeking to understand how AI-generated code affects their security posture, or those evaluating AI-driven security tools for potential adoption, will gain practical frameworks for assessment and implementation.
Industry Context
The application security field faces a period of significant transition as AI technologies reshape both offensive and defensive capabilities. Threat actors increasingly leverage AI to identify vulnerabilities and craft sophisticated attacks, while defenders adopt similar technologies to accelerate detection and response. This arms race creates pressure on security teams to understand AI capabilities deeply rather than superficially.
Simultaneously, regulatory frameworks continue to evolve with increased emphasis on secure software development practices. Organisations must demonstrate not only that they conduct security testing but that their approaches address current threat landscapes—including those introduced by AI adoption within their own development processes. The webinar positions these compliance considerations within the broader context of effective security programme management.