The rapid advancement of artificial intelligence has led to the development of increasingly sophisticated AI agents, capable of performing complex tasks across various sectors. However, as these agents become more powerful and autonomous, concerns about ethical considerations and potential risks have emerged.

To address these concerns, Renç Korzay, CEO of Giza and an industry veteran, advocates prioritizing user security and sovereignty, which he said must be “non-negotiable” and “architecturally enforced.” Korzay argues that ethical guidelines should translate into concrete engineering requirements, shaping every aspect of AI agent design.

In written responses to questions from Bitcoin.com News, Korzay also highlighted the need for complete user control. This control, he added, should be embedded into the agent’s architecture, ensuring users maintain full oversight and authority. Unlike systems that rely on delegated control, ethical AI agents should operate through permission frameworks that can be revoked instantly, Korzay said.

For the Giza CEO, the core message is clear: Ethical considerations must be built into the foundational architecture of AI systems, not added as an afterthought.

“In DeFi, where users’ financial assets are at stake, ethical considerations must be built into the foundational architecture of AI systems, not added as an afterthought,” Korzay said.

This “security-first” mentality is essential for building trust and ensuring the responsible development of AI agents. Turning to decentralized finance (DeFi) markets, which have become more complex, Korzay revealed that it is now possible to deploy AI agents to optimize users’ positions across leading protocols and execute sophisticated strategies while users maintain full control of funds.

Meanwhile, the CEO argues that effective user protection in DeFi comes from robust product design, not solely from external regulation. This “security-by-design” approach, he said, seeks to create an ecosystem where security is “intrinsic,” which minimizes the need for heavy-handed regulation.

Korzay asserts that building inherently secure systems aligns stakeholder interests and proactively engages with regulators to shape future policies. The focus is on creating value through well-engineered products, making compliance a natural outcome rather than an innovation-stifling hurdle.

Looking into the future, Korzay said he foresees “Xenocognitive Finance” dominating by 2030, with AI agents emerging as the primary market interface, exceeding human cognitive limits. At that time, humans will set strategic goals while AI agents will handle the execution.

“The adoption curve won’t be linear – it will be exponential. As these agents demonstrate their ability to consistently outperform manual operations while maintaining security guarantees, they’ll become the default way to interact with financial markets,” the CEO added.

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