AI Security Testing
Assess AI behaviour, retrieval systems, connected agents and AI-specific attack paths. Explore AI Security Testing.
CYBERSECURITY TESTING · SPECIALIST AI SECURITY
Cybersecurity testing for modern businesses, with specialist AI security capability.
SabreShield AI is a UK-focused cybersecurity testing business. We help organisations understand weaknesses across applications, networks, internet-facing infrastructure and AI-enabled systems, with specialist AI security as a key part of the offering.
The purpose of an assessment is to provide evidence that supports a practical decision: what is exposed, what could go wrong, and what your team should address first. Testing provides findings and remediation recommendations; it does not guarantee that a system is free of vulnerabilities.
Assess AI behaviour, retrieval systems, connected agents and AI-specific attack paths. Explore AI Security Testing.
Validate selected weaknesses through controlled exploitation within an explicitly authorised scope. Explore Penetration Testing.
Identify exposed services, vulnerable software and insecure configurations on internet-facing systems. Explore External Vulnerability Assessment.
Examine authentication, access control, business logic and application or API weaknesses. Explore Web Application & API Security Testing.
Review internal services, permissions, segmentation and potential attack paths. Explore Internal Network Security Assessment.
Track external exposure and relevant changes through an agreed recurring monitoring programme. Explore Continuous Vulnerability Monitoring.
Check whether remediation resolves the original weakness and document the outcome. Explore Security Retesting & Validation.
AI features can introduce additional trust boundaries: untrusted documents may influence model behaviour, retrieval systems may expose data, and connected agents may be able to use tools or take actions. These risks sit alongside familiar application, identity and infrastructure weaknesses.
We consider how AI behaviour connects to the surrounding system. AI-specific testing and conventional penetration testing can complement each other; the right approach depends on the components, permissions and potential impact in scope.
Explore our AI Security Testing service or read practical explanations in SabreShield Insights.
Agree the systems, objectives, access, exclusions and rules of engagement before testing.
Examine the agreed attack surface using techniques appropriate to the system and engagement.
Review significant findings and distinguish demonstrated weaknesses from potential risks.
Explain the evidence, affected components, likely impact and priorities clearly.
Provide practical recommendations so the responsible team can plan and implement fixes.
Where agreed, verify fixes and record whether findings are resolved, partially resolved or still present.
Security testing is performed only with explicit written authorisation and agreed rules of engagement. Scope defines what can be tested, which techniques are permitted, how information is handled and when activity must stop.
We discuss operational constraints and suitable test environments before work begins. Third-party systems require the relevant permissions. An enquiry or a request for a quote does not authorise testing.
Findings identify the affected system, observed behaviour and supporting evidence, with limitations made clear.
Risk prioritisation considers technical severity and the relevant business context rather than treating every alert equally.
Recommendations describe the control or configuration to review and the reason it matters.
An agreed retest can check the original issue and relevant related behaviour after changes are implemented.
START WITH THE RIGHT SCOPE
Tell us about your systems and objectives. We can discuss the appropriate service and agree the scope before any testing begins.