Article

Why Business Leaders Must Test Their Custom AI Agents

Posted: 29th Oct 2025

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AI is transforming industries – from recruitment and legal services to finance and healthcare. But, as adoption accelerates, many organizations are overlooking a critical step: security testing.

The Hidden Risks of Custom AI Agents

Custom AI agents, especially those built on large language models (LLMs), are not just smart – they’re also vulnerable. Unlike traditional software, these models can be manipulated in ways that are difficult to detect. Techniques like prompt injection and jailbreaking allow attackers to embed malicious instructions in everyday inputs.

Imagine an AI agent retrieving an email for a recruiter. Hidden within that email could be obfuscated commands that trick the model into exposing confidential candidate data – like salary expectations or personal contact details. In legal settings, an AI assistant might be used to summarize case files. But if it’s not properly secured, it could be manipulated to leak sensitive client information or internal strategy documents.

Real-World Examples Across Industries

  • Recruitment: AI tools used to screen CVs or communicate with candidates can be compromised to extract private data or manipulate hiring decisions.
  • Legal Services & Barristers’ Chambers: AI agents summarising case law or drafting briefs may inadvertently expose privileged information if they’re not tested for vulnerabilities.
  • Other Sectors: Any business using AI to automate tasks – from customer service to financial analysis – is at risk if those agents aren’t properly secured.

Opensource Warning

Many open-source models and APIs – like EB2, Gemini, and Olam – are being deployed without proper authentication. This means threat actors can query backend systems, such as SQL databases, without restriction. These vulnerabilities are not theoretical – they’re happening now.

Security by Design: A Boardroom Priority

Business leaders often prioritise speed and profitability. But deploying AI without security testing is like launching a product without quality control. The result? Data breaches, reputational damage and regulatory consequences.

Testing your AI agents isn’t just a technical checkbox, it’s a strategic safeguard.

Ready to Secure Your AI Innovation?

We specialise in penetration testing for custom AI agents. Our rigorous testing will help you deploy with confidence and protect your business from emerging threats.

Let’s make sure your innovation is safe, smart, and secure. Book a free consultation to assess your AI security posture.

About The Author

James Thompson is Head of Cyber Security at Atlas Cloud, helping organisations improve their cyber resilience through practical, real-world security advice. He works with businesses to strengthen their security posture, reduce cyber risk, and implement solutions ranging from Cyber Essentials and Microsoft security to 24/7 threat detection. Through his articles, James shares straightforward insights into the latest cyber threats, best practices, and security trends.

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