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AI penetration testing

AI is changing penetration testing in two ways

AI creates a new attack surface. It also gives security testers a powerful new tool. Securance helps organizations address both sides.

Pentesting of AI

Understand where your AI systems can be exploited — prompt injection, jailbreaks, data extraction and broken trust boundaries.

Pentesting with AI

Find vulnerabilities faster, analyze more information, and keep experienced security specialists in control of the process.

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Pentesting of AI

Your AI system is a new attack surface

When you deploy an AI system, you introduce risks that traditional penetration testing was not designed to find.

Customer-facing chatbots, internal copilots, AI agents and other LLM-powered applications can be manipulated in ways conventional software cannot.

Our security specialists test how your AI behaves when someone deliberately tries to break its rules.

  • Prompt injection

    Can hidden or malicious instructions influence your AI?

  • Jailbreaks

    Can attackers push the model beyond its intended limits?

  • Sensitive data extraction

    Can the system reveal information it should keep private?

  • System prompt leakage

    Can internal instructions or configuration be exposed?

  • Trust boundary weaknesses

    Can the AI access or influence systems beyond its intended authority?

AI MODEL with guardrails PROMPT INJECTION hidden instructions in a webpage or document JAILBREAK ATTEMPTS pushing the model past its intended limits DATA EXTRACTION pulling out system prompts or training data
A red team tester tries each angle repeatedly — an attack that fails ten times can still succeed on the eleventh.
Why it is different

AI vulnerabilities behave differently

Traditional vulnerabilities can often be reproduced consistently. AI systems are probabilistic. An attack may succeed once and fail the next ten times.

That makes AI security testing a repeated, adversarial process rather than a simple pass-or-fail check.

We systematically probe your AI's guardrails, identify weaknesses and determine what those weaknesses mean for the wider application and your organization.

As AI systems gain the ability to access data, use tools and take real actions, securing those boundaries becomes increasingly important.

Pentesting with AI

AI makes experienced pentesters more effective

AI isn't only something we test. It also helps our security specialists investigate systems more efficiently and analyze significantly more information.

We use AI where it adds value while keeping experienced pentesters responsible for determining whether a vulnerability is real and what it means for your organization.

The result is a combination of machine-scale analysis and human security expertise.

Faster investigation

Penetration testing involves substantial repetitive work. Endpoints need to be enumerated, scan results reviewed, software versions checked and large amounts of technical information connected.

AI accelerates that work, giving our specialists more time to focus on finding meaningful attack paths, validating vulnerabilities and understanding their actual business impact.

Better discovery

AI also helps identify patterns that are difficult to spot manually — an unusual pattern buried inside a large codebase, a weakness in how two systems interact, or several minor issues that combine into a serious vulnerability.

Those patterns are starting points, not conclusions. Every one is checked against your actual environment before it reaches a report.

Test types

The more context AI has, the more useful it becomes

Each type of engagement gives our specialists — and the AI supporting them — a different amount of context to work with.

BLACK-BOX TESTING No internal access. Only what an outside attacker would see. AI'S ROLE Speeds up reconnaissance and pattern matching against known attacks 1x GREY-BOX TESTING Some access: credentials, documentation or a sense of the architecture. AI'S ROLE More context to reason with. Helps prioritize where to look closer 2x SECURITY CODE REVIEW Reading source code directly, instead of probing a live system. AI'S ROLE The strongest fit. Flags unsafe patterns across large codebases fast 3x
More context available to AI generally means more useful AI output — but a specialist always checks the result.
Human validation

AI finds possibilities. Our specialists determine what matters.

AI can process enormous amounts of information quickly. But it can also produce false positives, miss important context and simply be wrong.

That is why AI-assisted penetration testing still requires experienced security professionals. At Securance, AI supports the investigation. It does not replace the pentester.

Our specialists validate findings, investigate attack paths and translate technical vulnerabilities into risks your organization can understand and act on.

Be sure.

Prepared for both sides of AI security

Understand your exposure. Find the vulnerabilities that matter. Strengthen your defenses before someone else finds the gap.