01
Secure AI architecture
Threat-model the workflow, control model and tool permissions, protect sensitive data paths, and choose cloud, hybrid, or local deployment deliberately.
Secure AI architecture · Authorized Web & API testing · Security automation
Secure AI & cybersecurity
Combine AI engineering with offensive-security experience so privacy, access, evidence, and remediation are part of the system from the start.
Discuss this service
Solution previewIllustrative concept
05
The opportunity
Start with the work that needs to change.
Security is not a final checklist added after an AI project is built. It shapes where data lives, what models can access, how identities and tools are authorized, how activity is recorded, and how weaknesses are validated. Compan-IA brings software, AI, and offensive-security experience into one engagement.
What this can include
One category. Several useful starting points.
Every engagement is tailored. These examples show the range of systems and workflows that can sit inside this service category.
02
Authorized Web and API assessments
Evaluate applications and APIs within an agreed scope, preserve evidence, separate confirmed issues from candidates, and deliver practical remediation guidance.
03
AI-assisted security engineering
Build focused tools for defensive reverse engineering, security knowledge workflows, evidence normalization, report support, and remediation assistance.
04
Identity, access, and hardening
Review permissions, service identities, privileged access, logging, and integration boundaries around AI and automation systems.
Designed to be useful
What the engagement should leave behind
Security by construction
Address identity, data, tool access, infrastructure, and abuse cases before they become expensive design constraints.
Evidence over assumptions
Keep findings, candidates, gaps, and operational errors distinct so decisions remain reviewable and defensible.
Human verification
Use AI to accelerate analysis without treating model output as proof or silently applying high-impact changes.
Actionable remediation
Connect each validated risk to a practical correction, implementation plan, or engineering change.
Potential applications
Useful across teams and operating contexts
01Secure AI architecture reviews↗
02Authorized Web and API testing↗
03Data-flow and access reviews↗
04Security workflow automation↗
05Local AI deployment↗
06Remediation planning↗
How we get there
A focused path from question to working system.
The exact scope changes by project, but the decision gates stay clear so you can learn before scaling the investment.
- 01Frame the workflow
- 02Validate the inputs
- 03Build and test
- 04Integrate and improve