AI-Generated Code Security Webinar

4th November, 2026 | 12pm EST / 9:30 pm IST

AI coding tools such as GitHub Copilot, Cursor, Claude Code, and autonomous coding agents are changing how software is built. Developers can now generate, test, and ship code faster than ever—but security teams still need to understand whether that code is secure, how it should be reviewed, and who is accountable when vulnerabilities make it into production.

In this webinar, security and technology leaders will discuss the security risks of AI-generated code, how AI coding assistants are changing application security and penetration testing, and whether traditional secure software development practices can keep pace with AI-assisted development.

We’ll explore where vulnerabilities can emerge, how organizations can put practical guardrails around AI coding tools, and what security, engineering, and leadership teams should do as AI moves from simply suggesting code to writing, testing, and potentially deploying it.

Can’t attend live? Register anyway.

What We’ll Discuss

Is AI-generated code creating new security risks?

AI coding assistants can dramatically increase development speed, but faster code generation can also increase the amount of code that needs to be reviewed and tested.

Our panel will explore whether AI-generated software is introducing entirely new classes of vulnerabilities or simply increasing the scale and frequency of familiar application security issues.

How should AI-generated code be security tested?

What changes when developers rely on AI tools to generate significant portions of an application?

We’ll discuss the role of penetration testing, automated security testing, code review, and application security programs in identifying vulnerabilities introduced through AI-assisted development.

Where should organizations place guardrails around AI coding tools?

Developers increasingly use tools such as Copilot, Cursor, Claude Code, and AI coding agents as part of their everyday workflows.

The panel will discuss how CISOs and engineering leaders can enable productivity while maintaining visibility, security controls, approval processes, and accountability.

Who is responsible when AI-generated code is vulnerable?

If an AI assistant generates insecure code that reaches production, responsibility can become unclear.

Is the risk owned by the developer, engineering team, security team, organization, or AI platform provider?

We’ll explore how organizations should think about ownership and accountability for AI-generated software.

Does the traditional Secure SDLC still work in the AI era?

AI can generate software significantly faster than humans can manually review it.

We’ll discuss how secure software development lifecycle practices may need to evolve as organizations adopt AI-assisted development, automated code generation, and increasingly autonomous coding agents.

What changes when AI assistants become autonomous coding agents?

The industry is moving from AI tools that recommend snippets of code to agents capable of writing, testing, modifying, and potentially deploying software.

Our panel will explore whether this changes the application security model and what controls organizations should consider before giving AI agents greater autonomy.

Accorian is a cybersecurity and compliance advisory firm that helps organizations strengthen security, simplify compliance, and manage risk through advisory, assessment, and assurance services across security, privacy, governance, and software security.

Accorian’s security testing services help organizations assess applications, APIs, cloud environments, infrastructure, and emerging technologies for real-world security vulnerabilities.

Flyingduck is a Code Security Intelligence platform designed to identify and remediate security vulnerabilities throughout the software development lifecycle.

Its capabilities include software composition analysis, static application security testing, secrets analysis, SBOM compliance, and deeper analysis of business-logic security issues, helping security and engineering teams identify risks earlier and prioritize remediation.

Limitless Enterprises is a technology-focused organization led by Nagachandra Prahalada Rao, with a focus on technology leadership, innovation, and helping organizations navigate evolving digital and AI-driven environments.

Its perspective combines technology strategy with practical adoption, making it especially relevant as organizations evaluate how AI tools, automation, and emerging development models affect engineering, governance, and security.

AI Is Writing the Code. Who Secures It?

Securing AI-Generated Code in the Age of Coding Assistants and Agents

What We’ll Discuss

Is AI-generated code creating new security risks?

How should AI-generated code be security tested?

Where should organizations place guardrails around AI coding tools?

Who is responsible when AI-generated code is vulnerable?

Does the traditional Secure SDLC still work in the AI era?

What changes when AI assistants become autonomous coding agents?

Gain insights from the experts

Nagachandra Prahalada Rao

Sarat Lingamallu

Muhammed Noushad Kolot

Latest at Accorian

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