Client Success in Action
See how we help organisations turn priorities into measurable outcomes - navigating complexity, driving momentum, and achieving meaningful results that last.
Abicem led the full-scale migration of over 1,300 applications, hundreds of OT devices and supporting 35,000 users, including critical production sites. We seamlessly onboarded all assets to the target network and delivered a new IAM ecosystem spanning Entra ID, AD, SailPoint, PKI, and PAM.
Operating under a strict TSA timeline, we delivered a fully coordinated, end-to-end IAM migration from Oracle Identity Manager (OIM) to SailPoint IdentityNow (IDN) without disrupting business operations. This was enabled through a centralised IAM governance framework, clear stakeholder alignment, and disciplined delivery execution.
To accelerate onboarding at scale, Abicem designed and implemented a full automated application migration and governance solution. Legacy IAM data was extracted, transformed into SailPoint-aligned governance models, and validated by application owners before being deployed into IdentityNow.
1,300 Apps. 35,000 Users. One Seamless Transition. Business Continuity Guaranteed.
The Outcomes:
35000+ users, 1300 applications, hundreds of OT devices and critical production sites
A seamless migration with zero business disruption
End-to-end automated IAM onboarding and governance
Decreased the application onboarding to IDN from an average of 8 hours to 30 minutes
Operationalising Secure, Production-Ready AI for a Major Telecom Provider
Abicem delivered an end-to-end AI Security and Governance programme to enable secure, compliant adoption of artificial intelligence at scale.
This engagement aligned AI controls to the NIST AI Risk Management Framework (AI RMF), embedded Security-by-Design principles into development lifecycles, and introduced a governance-led approach to AI procurement. We also applied AI-driven role modelling and entitlement classification to accelerate a large-scale Identity Governance and Administration (IGA) transformation.
Together, these workstreams established practical guardrails for AI adoption while strengthening enterprise security, risk management, and identity governance foundations.
The Outcomes:
Operational AI security guardrails embedded into SDLC and delivery teams
Faster, risk-informed AI procurement decisions with clear governance alignment
Reduced application and AI system risk through consistent controls and testing
Improved audibility and scalable foundations for role- based access governance
What We Delivered:
AI Security Framework aligned to NIST AI RMF
Secure SDLC / Security-by-Design framework aligned to OWASP
AI risk and procurement assessment framework
AI-driven entitlement classification and role modelling for IGA transfromation
Strengthening Zero Trust for a Global German Financial Institution
Abicem supported a global financial institution in strengthening its Zero Trust and Defence-in-Depth strategy by standardising how sensitive data is identified, classified, and protected across the enterprise.
With sensitive data spread across structured and unstructured systems, inconsistent classifications, and evolving regulatory obligations, the organisation lacked the visibility and control required to ensure cryptographic safeguards were correctly implemented and compliant with GDPR and country-specific regulations.
We led the design and deployment of an enterprise-wide sensitive data governance framework, defining a unified data classification model and conducting risk assessments across data environments. The engagement also aligned cryptographic controls to regulatory requirements and introduced a NIST-aligned Key Management Framework, supported by KPIs to measure and drive ongoing risk reduction.
What We Delivered:
Enterprise-wide sensitive data governance framework
Standardised data classification scheme for structured and unstructured data
Risk assessments and policy framework aligned to regulatory obligations
NIST-aligned key management framework
Enforced cryptographic controls, including country-specific encryption requirements
KPIs and accountability model to monitor and drive risk reduction
The Outcomes:
One unified data protection and classification framework
Improved visibility and control over sensitive data
Strengthened cryptographic controls aligned to legal and regulatory requirements
Audit-ready posture with measurable KPIs and clear ownership defined
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