AI / LLM Security Assessment
Assess prompt injection, context and training-data leakage, model abuse, and insecure model-to-backend integrations.
Precision Offensive Operations
Our testing goes well past automated scanning. Zettabyte operators manually assess every in-scope asset, chaining vulnerabilities the way a real attacker would to demonstrate genuine, exploitable impact. You get findings that are validated, prioritized by real-world risk, and paired with remediation guidance your team can act on.
Scope an engagement ↗Capability register / 01
Assess prompt injection, context and training-data leakage, model abuse, and insecure model-to-backend integrations.
Probe every internet-facing service to find what could get an attacker through your perimeter.
Expose lateral-movement and privilege-escalation paths from an assumed-breach position.
Manual testing across web, mobile, desktop, APIs, and business logic — augmented by AI where it expands coverage.
Operator-led source-code review that catches vulnerabilities at the root.
Assess configuration, IAM, exposed services, and architecture around how your cloud is actually built.
Test connected devices, embedded systems, firmware, and physical interfaces.
Specialized testing for critical environments where downtime is catastrophic and standard tooling is dangerous.
Capability register / 02
Continuously map forgotten assets, shadow IT, and your true internet-facing footprint.
Track new threats relevant to your specific stack before they are weaponized.
Actively validate exposures and prioritize what is genuinely exploitable.