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Cyber Risk Assessments
Assess cyber exposure across people, process, technology, data, cloud, SaaS, AI systems, and business-critical operations; translate findings into prioritised risk treatment plans.
Cybersecurity & AI Security Consulting
Secure the AI-driven enterprise with evidence-ready security architecture.
SAiVARIS Cybersecurity helps organisations assess cyber risk, govern AI and cloud workloads, model threats, validate control effectiveness, and build defensible security programmes that stand up to auditors, regulators, customers, and executive scrutiny.
Cyber Risk Assessments
AI Governance
Threat Modeling
Audit Evidence
Cybersecurity and AI security services
Targeted consulting for organisations that need practical security strategy, defensible controls, and implementation-ready remediation plans.
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Governance & Regulatory Compliance
Design governance structures, control mappings, evidence models, and compliance roadmaps aligned to NIST, CIS, PCI-DSS, HIPAA, ISO 27001, AI RMF, and emerging AI regulation.
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Threat Modeling
Model realistic abuse cases, trust boundaries, attack paths, data flows, identity paths, and AI-specific threats to drive control selection before systems go live.
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Pentest & Vulnerability Assessment
Coordinate vulnerability discovery, control validation, remediation prioritisation, and retesting plans across web, cloud, network, identity, endpoint, and API surfaces.
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Auditing, Gap Analysis & Evidence Plans
Evaluate control maturity, identify evidence gaps, create audit-ready collection plans, and align technical implementation with executive, compliance, and regulator expectations.
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Security Control Delivery
Plan, design, build, test, and deploy security controls across identity, cloud, data protection, monitoring, secure SDLC, AI/ML platforms, and enterprise architecture domains.
About Us
Mission-driven security consulting for complex digital and AI environments.
SAiVARIS Cybersecurity exists to help organisations secure the systems that matter most: cloud platforms, AI workloads, enterprise identities, regulated data, and revenue-enabling digital services. The mission is to produce practical, traceable, and defensible security outcomes rather than checkbox security.
Executive clarityTranslate technical risk into business impact, strategic priorities, investment decisions, and measurable risk reduction.
Architecture-first deliveryUse secure-by-design planning so controls are mapped to threats, compliance drivers, identity flows, and operational ownership.
Evidence-ready controlsDocument what was assessed, what was found, what was fixed, and what evidence proves control effectiveness.
AI-era focusExtend traditional cybersecurity into AI governance, model security, agentic workflow risks, cloud-hosted AI platforms, and emerging AI regulatory pressure.
Our Team
Led by enterprise cybersecurity architecture experience across AI security, cloud security, identity, DevSecOps, risk, and compliance.
Stephen A. Adebowale
Senior Information Security Architect / vCISO
Stephen is a cybersecurity architect with over 12 years of experience designing and implementing security programmes for Fortune 500 enterprises across financial services, healthcare, and technology. His work spans AWS and Azure cloud security, AI/ML security governance, IAM/PAM, DevSecOps, enterprise risk, and compliance.
He brings hands-on delivery experience across secure architecture, federated identities for AI workloads, audit-ready governance, and executive-level risk communication.
Our delivery pillars
A practical operating model for moving from assessment to implementation without losing traceability.
Discover
Capture business context, assets, data flows, AI use cases, threat surface, existing controls, and compliance obligations.
Assess
Evaluate risk, architecture gaps, control maturity, vulnerabilities, identity exposure, and evidence readiness.
Design
Create control architectures, governance models, remediation roadmaps, RASCI ownership, and implementation sequencing.
Validate
Test control performance, close evidence gaps, retest remediation, and prepare executive-ready and audit-ready reporting.
Resources
Technical writing and reference material for modern security teams.
Explore articles and guides covering identity, cloud security, AI security, governance, Zero Trust, MLOps, and enterprise security architecture.
Dynamic Conditional Access Policies
Enterprise architecture guide for reducing Conditional Access policy sprawl using custom security attributes.
AI and Cloud Security References
Additional resources for AI governance, cloud-hosted AI model security, and secure platform engineering.
Knowledge Base
Interactive tools and reference workspaces for AI and cloud security.
Hands-on SPA workspaces for AI system design, governance mapping, and security architecture — built to support consulting engagements and self-paced learning.
AI System Design
System design workspace for LLM applications, RAG systems, AI agents, and governed autonomous execution while:
- Incorporating AI Risk Governance — NIST AI RMF 1.0
- Focused on Generative AI‑Specific Risks — NIST AI 600-1
- Being aware of Adversarial ML attack vocabulary and taxonomy — NIST AI 100-2e2025
- Enforcing legal compliance — EU AI Act, US Sector-Specific Compliance
FAQ
Initial FAQ structure added. Detailed explainers can be expanded as the final copy is provided.
How we operate?
We begin with business context, risk drivers, systems in scope, and target outcomes. We then assess current-state controls, define practical remediation, and produce evidence-ready outputs that can be used by leadership, engineering, auditors, and security teams.
How we help?
We help organisations identify cyber and AI security risk, prioritise remediation, design control architectures, prepare for audits, strengthen governance, and validate that implemented controls reduce real-world exposure.
What is included in cybersecurity consulting services?
Services can include risk assessments, governance and compliance mapping, threat modeling, vulnerability assessment coordination, gap analysis, evidence collection planning, security architecture design, control implementation support, and post-remediation validation.
What does a typical engagement timeline look like?
Engagements are scoped by complexity. A focused assessment may take a few weeks; broader architecture, governance, or control implementation programmes may be phased across discovery, assessment, design, build, testing, deployment, and evidence closure.
Ready to strengthen your security posture?
Use the contact links to discuss cyber risk assessments, AI security governance, threat modeling, compliance readiness, or security architecture delivery.