CYBERSECURITY × AI ENGINEERING
FDC brings security validation, risk advisory, and AI engineering into one delivery path — helping enterprises move from knowing what to do to shipping it with confidence.
From risk discovery to delivery, every step has a clear basis.
Third-party certified management systems
WHY FDC
Security and AI should not operate as disconnected workstreams. We start with product goals, data flows, and user context, then make risk controls part of architecture and delivery decisions.
CERTIFIED MANAGEMENT SYSTEMS
FDC's information security and AI management systems are independently certified, embedding risk governance, data protection, and responsible AI into operations and technical delivery.
FDC's two management-system certificates were issued by LMS Assessments Limited. Validity remains subject to timely surveillance audits and the latest certification-body record; ISO does not perform certification or issue certificates.
ISO/IEC 27001:2022
Design, development, implementation, operation and maintenance of information software systems, data processing and related consulting services
Recertification due: 11 August 2029
View full certificateISO/IEC 42001:2023
Design, development, implementation, operation and maintenance of artificial intelligence application systems and related consulting services
Recertification due: 11 August 2029
View full certificateWHAT WE DO
Start with a focused validation or combine services into a staged advisory and development engagement.
SECURITY
01From external attack surfaces to product design and internal governance, we help teams surface risk early, prioritize remediation, and verify that improvements are complete.
AI DELIVERY
02Starting with the use case and data constraints, we help enterprises validate value, define safe operating boundaries, and integrate AI into real products and workflows.
EXPECTED OUTCOMES
Translate technical issues into impact, priority, and decision-ready language.
Give engineering teams practical remediation, architecture, and workflow guidance.
Use evidence, acceptance criteria, and retesting to confirm that work is complete.
Turn project learning into documentation and practices the team can continue using.
HOW WE WORK
Each stage defines its objective, boundary, and output before the next one begins, reducing rework and expectation gaps.
Align on business goals, system scope, stakeholders, and unacceptable risks.
Stage output
Engagement brief, scope, and success criteria
Map architecture, data flows, attack surfaces, or AI use cases and design the validation plan.
Stage output
Work plan, risk assumptions, and acceptance method
Test, prototype, or build while keeping the team current on evidence and decisions.
Stage output
Working results, issue list, and improvement guidance
Confirm fixes or features, complete documentation, and define the next improvement path.
Stage output
Acceptance results, closeout summary, and next steps
WHO WE HELP
You need to find material issues on a real timeline and make an informed release decision.
The prototype works, but access, data quality, and integration still need engineering discipline.
You want a sustainable security practice, not another cycle of reactive fixes.
ENGAGEMENT SCENARIOS
These are capability-based scenarios for scope discussions.
A product is approaching launch, and the team needs a time-bounded view of critical vulnerabilities, remediation priorities, and evidence that supports the release decision.
Expected outcome: focus the release decision on material operational risk and retain a traceable basis for remediation and verification.
The prototype shows promise, but access control, data scope, answer quality, and production integration remain unresolved.
Expected outcome: give the team a measurable, governable way to decide whether AI belongs in the production workflow.
OUR APPROACH
Address risk in requirements, data flows, and architecture to reduce late-stage rework.
Keep technical evidence, business impact, and decision summaries connected for every stakeholder.
Avoid invented metrics and vague promises by defining scope, limits, and acceptance up front.
FAQ
Yes. Share the product stage, key systems, target release date, and current concerns. We can help determine whether to begin with scoping, penetration testing, or ongoing advisory.
Yes. We can start by defining users, tasks, data sources, quality expectations, and risk boundaries before deciding whether a prototype or build is warranted.
An engagement can include remediation guidance, engineering discussions, and retesting. Direct code changes depend on system access, agreed scope, and responsibility boundaries.
Share your objective, scope, system context, and desired timeline. We define the work and delivery approach after discovery. Pricing and procurement require formal approval by both parties. [Requires management confirmation]
START A CONVERSATION
You do not need a finished specification. Tell us the product stage, primary goal, and where progress is blocked to begin the first discussion.
