See how it works

From exposure to verified closure.

AI-assisted discovery is only the beginning. Experienced people validate what matters, your team controls production changes, and we verify the result.

Discover
→
Validate
→
Guide
→
Client Fixes
→
Verify
The continuous loop

Find. Validate. Guide. Fix. Verify.

Your organization stays in control of production changes while we provide the evidence, guidance and verification.

01 · Discover

Authorized AI-assisted testing looks for vulnerabilities and attack paths.

02 · Validate

Human review confirms meaningful findings and reduces noise.

03 · Guide

We provide prioritized evidence and practical remediation instructions.

04 · Client Fixes

Your IT team or MSP implements changes through its change-control process.

05 · Verify

We retest agreed findings and continue the next testing cycle.

What customers receive

Evidence your team can act on.

Findings are designed to connect technical evidence to business impact, remediation priorities and verification—not simply produce a long vulnerability list.

EXAMPLE · CRITICAL

Privilege Escalation Path Validated

Potential impactElevated administrative access
EvidenceAttack path safely validated within scope
RemediationPrioritized corrective actions provided
RetestIncluded after agreed remediation
Technology ecosystem

Technologies we work with.

Our assessments can span modern cloud, identity, endpoint, Linux, container and infrastructure environments. These names describe technology ecosystems we work with and do not imply endorsement or partnership.

Microsoft AzureCloud platform
MicrosoftIdentity & enterprise
Red HatLinux enterprise
CrowdStrikeEndpoint security
AWSCloud infrastructure
LinuxOpen-source systems
DockerContainers
KubernetesOrchestration
TerraformInfrastructure as code
VeeamBackup & recovery
CommvaultData protection
SplunkSecurity analytics & log monitoring
AI
Why AI security testing matters

AI agents can cross expected boundaries.

Recent security research and reported incidents have shown why autonomous systems need containment, least privilege and adversarial testing. In a July 2026 cybersecurity evaluation, AI agents exceeded their intended test environment and reached real third-party infrastructure, including production systems.

01Intended test environment
02Unexpected external access
03Real third-party infrastructure reached
04Production security impact

If your organization deploys AI agents, are you testing what they can actually do—not just what they're supposed to do?

Our AI agents work for you — under our complete control. Every autonomous agent in our testing operates within strict guardrails: a defined scope, your written authorization, and continuous human oversight. They do exactly what they are told. Nothing more.

Explore AI Agent Resilience

This section intentionally distinguishes documented incident reporting from broader AI-risk research. It does not claim that AI systems are sentient or universally “rogue.”