Who is CyberImmune best for?

Startups and mid-market technology teams that need credible VAPT, compliance readiness, cloud security, AI security, and customer review support.

How quickly can we start a VAPT assessment?

Most scopes can begin after discovery, asset list, and access handoff. Common scopes can move quickly once access is ready.

Can you support both VAPT and compliance?

Yes. We can validate security risks, support remediation, organize evidence, and coordinate readiness activities across major frameworks.

What AI systems can you assess?

LLM applications, AI agents, workflows, prompt injection paths, sensitive data exposure, unsafe automation logic, and AI API abuse paths.

Where is CyberImmune based?

CyberImmune is headquartered in Toronto, Canada, with distributed delivery across Canada, the United States, and India.

ISO 42001 Explained for AI Product Teams

ISO 42001 is becoming important because AI adoption is moving faster than traditional governance programs. Product teams are shipping LLM features, autonomous workflows, decision support tools, and agentic systems while customers ask how those systems are controlled.

For AI product teams, ISO 42001 should not be seen as a paperwork exercise. It is a way to show that AI systems are governed, risk-assessed, monitored, and improved over time.

Understand what ISO 42001 is trying to prove

ISO 42001 focuses on an AI management system. It helps organizations define responsibilities, assess AI risks, document controls, monitor performance, and manage the lifecycle of AI systems.

For product teams, this means understanding how AI features are designed, tested, released, monitored, and changed. It also means documenting risk decisions around data use, model behavior, human oversight, security, privacy, transparency, and third-party AI dependencies.

Connect AI governance to product reality

AI governance fails when it lives outside the product workflow. The controls need to map to how teams actually build and operate AI features. That includes model selection, data sources, prompt and workflow design, evaluation methods, access control, logging, incident response, and release approval.

If the system uses agents or tools, the governance program should also address what actions the AI workflow can take, which approvals are required, how failures are detected, and how unsafe behavior is contained.

Pair governance with security testing

ISO 42001 does not replace AI security testing. Governance can define expected controls, but testing validates whether those controls hold up under abuse.

AI security assessments should look at prompt injection, indirect prompt injection, tool misuse, data exposure, authorization weaknesses, unsafe automation logic, and AI API abuse paths. The results can then feed back into the AI management system as evidence of risk validation and improvement.

Prepare for customer questions early

Enterprise buyers are beginning to ask how AI systems are governed, whether customer data is used in model workflows, how outputs are reviewed, and how AI-related incidents would be handled. Teams that prepare answers early will move faster through procurement.

CyberImmune helps AI product teams combine AI security testing with compliance readiness across ISO 42001 and adjacent frameworks. If you are building AI-driven products, Talk to a Security Lead.