AI systems make decisions at scale. The flaws in those decisions scale just as fast.
Artificial intelligence is no longer a layer above your product, for many protocols and platforms, it is the product. AI models drive risk assessments, automate transactions, and gate access to critical functions. When those systems are compromised or manipulated, the consequences do not stay contained. They propagate. At Axiomscrypt, we audit AI systems with the methodological depth this high-stakes domain demands.
An AI security audit is a structured review of the security posture of systems where artificial intelligence plays a functional role. It examines how AI components are integrated, how they make decisions, how they can be manipulated from the outside, and what happens when they behave in ways their designers did not anticipate.
This is not a performance review. It is a security review: we look at your AI system the way an attacker would, probing inputs, testing boundaries, and assessing the downstream consequences of model failure or manipulation. Our AI-assisted pre-analysis maps your system architecture and surfaces known vulnerability classes before our specialists conduct a deeper, design-level assessment.
We test whether inputs can be crafted to override instructions, extract sensitive information, or alter system behavior in unwanted ways.
Review of how models are sourced, stored, versioned, and loaded into production. Tampered model weights can silently alter system behavior without triggering conventional security controls.
For AI agents operating with real-world permissions, executing transactions, managing funds, calling APIs, we assess whether decision boundaries are correctly enforced and whether the agent can be induced to act outside its intended scope.
Assessment of training pipelines and data sourcing practices. Poisoned training data can embed persistent behavioral vulnerabilities that survive into production.
Evaluation of how AI outputs are consumed by other system components. Uncritical trust in model outputs, particularly in high-stakes decision flows, creates exploitable attack surfaces.
Full documentation of AI components reviewed, methodology, all findings by severity, and overall security posture.
Every issue rated Critical, High, Medium, Low, or Informational with methodological description, real-world impact, and remediation guidance.
Where risk stems from architectural decisions, we provide concrete guidance on safer AI system design.
We review your fixes and confirm resolutions are sound before the final report is issued.
A signed summary suitable for sharing with partners, shareholders, or regulators.
We identify all AI components in scope: models, agents, pipelines, APIs, and integration points with critical system functions.
Our engine maps your architecture and flags known vulnerability patterns specific to AI system design.
Specialist auditors assess your system at the architecture, integration, and model level, testing inputs, tracing decision flows, and probing trust boundaries.
We simulate real attack scenarios including prompt injection, boundary probing, and output manipulation.
Complete findings report with a dedicated debrief with your auditing team.
We verify every fix. The final, accepted report is issued and ready to publish.
AI is moving faster than the security frameworks designed to govern it. Getting ahead of that gap is not just prudent, in a regulated environment, it is increasingly expected.
The question is not whether your AI system can be manipulated. It is whether you find that out before someone else does.
Request an Audit → Talk to Our Team
Axiomscrypt is an AI-native blockchain security firm, delivering smart contract, cryptography, and AI security audits with uncompromising rigor.