Artificial Intelligence Penetration Testing
Strengthen the security of your AI systems, stay ahead of evolving threats, and maintain a competitive edge in a rapidly changing digital landscape.
Benefits of Artificial Intelligence Penetration Testing
Artificial Intelligence Penetration Testing (AIPT) helps strengthen the security of your AI systems, ensuring they comply with regulations, resist cyber threats, and protect your reputation and revenue.
CyberCX provides independent verification of your AI’s security posture, giving you confidence in how these systems handle sensitive data and operate under pressure. With AIPT, your organisation can safely embrace AI, stay ahead of evolving threats, and maintain a competitive edge in a rapidly changing digital landscape.
Prevent prompt injection and data leakage
Identify where attackers can coerce your LLM to bypass guardrails, exfiltrate secrets, or reveal sensitive customer and business data.
Secure AI agents, plugins and RAG pipelines
Stress‑test toolchains (agents, APIs, connectors, vector stores) to stop unauthorised actions, privilege escalation and lateral movement across your environment.
Realistic AI red teaming
Simulate jailbreaks, malicious prompts, adversarial inputs and social engineering to prove your AI’s resilience under attack before and after go‑live.
Demonstrate compliance and trustworthy AI
Map findings to the OWASP LLM Top 10 and relevant regulations, with clear remediation guidance and assurance reporting for executives and auditors.
Identify and address your AI systems’ risks. Talk to an Artificial Intelligence Penetration Testing expert.
Artificial Intelligence Penetration Testing overview
Artificial Intelligence (AI) is now widely used throughout the industry, however, many organisations still do not fully understand how it works or the risks it introduces. AI systems are often given access to sensitive data and integrated across networks and applications, which can create serious security exposures.
AI Penetration Testing (AIPT) helps identify and address these risks. Unlike traditional systems, AI can be manipulated in human-like ways through persuasion, deception, or social engineering to reveal information or perform unintended actions.
AIPT provides assurance that your AI systems are secure, cannot be tricked into leaking sensitive data, and prevents unauthorised access to critical assets.
What is Artificial Intelligence Penetration Testing?
AIPT is a critical service that assists organisations identify and fix security weaknesses in their AI systems. As more software relies on AI, it’s essential to ensure these systems are secure, compliant, and resilient.
At CyberCX, AIPT simulates real-world attacks, just like traditional penetration testing, although focuses specifically on Generative AI, such as large language models (LLMs), their supporting infrastructure, and toolchains. This testing helps confirm that your AI systems are trustworthy and protected against both conventional and AI-specific threats.
Using Generative AI doesn’t have to involve accepting unknown risks. AIPT gives you clear, technical insights into your AI’s security posture, helping you make informed decisions around risk and compliance.
Why partner with CyberCX for Artificial Intelligence Penetration Testing?
CyberCX offers industry-leading AIPT, backed by a strong local presence and a mature methodology built on standards like the OWASP LLM Top 10. Our approach goes beyond traditional testing, with regular input from AI security experts to ensure relevance and depth.
We tailor each engagement to your organisation’s unique needs, recognising that AI introduces new and complex risks. While technical controls help, vulnerabilities in AI solutions can still be exploited.
If you’re unsure whether your AI leaks data, accesses unauthorised information, or meets regulatory obligations, our testing provides clarity. Strengthen your defences and build confidence with Australia’s most experienced penetration testing team.
Trusted cyber security partner to leading Australian organisations.
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