Faster Code, Faster Risk - Why Testing Is the New Control Plane
Abstract
AI-assisted development has fundamentally shifted the velocity of software engineering. The constraint is no longer how fast teams can write code, it is how confidently they can verify it to ship it.
Tools like Copilot, Claude, Codex have dramatically increased development velocity, enabling engineers to generate features, integrations, and refactors at unprecedented speed. But as code volume scales, so does risk often in ways that are subtle, compounding, and difficult to detect.
AI-generated code is syntactically correct and may even be contextually relevant. What it is not is accountable. It does not understand organizational business logic, regulatory obligations, threat model, or customer trust boundaries. Without strong verification mechanisms, organizations risk accelerating technical debt, security exposure, compliance gaps, and systemic fragility.
In this talk, we will explore why traditional notions of testing are no longer sufficient in the AI era. Testing is no longer a downstream quality check, it is becoming the control plane for modern software delivery. We will examine how validation, security testing, and risk-based verification must evolve to match machine-scale code generation, and how product and security leaders can embed guardrails without slowing innovation.
The organizations that win in the AI era will not be those that generate the most code but those that can prove, continuously and at scale, that their systems are correct, resilient, and secure.
Key Takeaways
1. Innovation creates noise, making obvious truths harder to see.
2. Question if a problem really needs GenAI or if existing tools suffice.
3. Understand GenAI’s true value beyond the hype.
4. Old and new solutions should complement, not replace, each other.
5. A real-world case study shows how GenAI can be used effectively.
6. Clarity comes from cutting through illusions and embracing simplicity.
About Speaker
Siva Kumar Inguva is a senior security executive with deep experience leading enterprise security programs, with a strong focus on AI security, cloud governance, and product-driven risk. He currently serves as Head of Security for SaaS Businesses at PTC, where he defines and executes security strategy across global SaaS platforms – partnering with executive leadership to enable innovation while managing risk in complex, regulated, and data-intensive environments.
Siva has guided organizations through rapid growth, platform modernization, and the adoption of AI-powered products, establishing governance models that address emerging risks with an emphasis on resilience, trust, and measurable business outcomes.
With experience across fintech and high-growth technology companies, including global financial institutions and Silicon Valley tech firms, Siva is known for translating technical risk into clear executive and board-level insights. He regularly advises senior leaders on aligning security strategy with AI adoption, product velocity, and long-term business value
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