Compliance management (SOC 2, ISO 27001, NIST, PCI-DSS, HIPAA, etc.), policy development, audit preparation, regulatory assessments, framework implementation, and continuous monitoring.

Through continuous monitoring, regular assessments, and integration of controls into daily operations rather than periodic audit-driven efforts.

DLP solutions, encryption, backup and disaster recovery, data classification, and privacy compliance (GDPR, CCPA, HIPAA).

Because human factors are a primary risk vector — training, phishing simulations, and role-based programs reduce the likelihood of breaches and improve incident response readiness.

Reduced audit friction, improved regulatory alignment, lower risk exposure, and a more resilient security posture supported by both technical controls and organizational processes.

Vulnerability scanning, penetration testing (network, application, wireless, cloud), risk assessments, maturity evaluations, third-party risk analysis, and attack surface management.

As a multi-layer validation method that simulates real-world attacks across infrastructure and applications to uncover exploitable weaknesses beyond automated scanning.

Secure code reviews, web and API security testing, DevSecOps integration, SAST/DAST scanning, and Software Composition Analysis (SCA).

Because it shifts security left — embedding testing and controls into CI/CD pipelines, reducing late-stage vulnerabilities and remediation costs.

Security assessments are performed end-to-end: infrastructure, network, application, and dependencies — ensuring no gaps between layers where risks can propagate.

MFA, SSO, Privileged Access Management (PAM), identity governance processes, as well as access reviews and certification.

Security architecture design and review, Zero Trust implementation, roadmap development, technology selection, maturity assessment, and vCISO support.

Security assessments and audits, access control, GRC implementation, patch management, system hardening, threat monitoring, SoD analysis, and integration/cloud security.

AI/ML risk assessments, governance frameworks, model security testing, data privacy consulting, protection against AI-specific attacks (e.g., prompt injection), and regulatory compliance.

Because risks are interconnected: IAM impacts SAP access, SAP integrates with AI systems, and AI introduces new attack vectors. Managing them in isolation creates gaps — an integrated approach is required.

It helps identify, analyze, and prioritize vulnerabilities before they become operational or business problems.

It covers both SAP and non-SAP environments, including OS, database, and application layers.

It automatically tracks new notes, summarizes them, and shows which instances are affected.

It uses external vulnerability sources, such as the National Vulnerability Database, and maps relevant issues to specific systems.

It replaces a slow, labor-intensive review process with near-instant visibility into which vulnerabilities matter and where they apply.

Acceptance to Run is a validation process that checks whether IT systems meet defined build, operational, and compliance standards.

It can validate metrics and configuration details such as CPU count, patch levels, database levels, file systems, host-related conditions, and other instance properties.

No. It is also intended for ongoing monitoring after deployment to detect configuration drift and unauthorized or risky changes over time.

Users can define rules for selected groups of systems. For example, they can require a specific CPU count or create conditions based on file systems or host names.

Yes. Because systems are continuously compared against defined standards, it helps support both operational reliability and compliance control.

It is a managed security service that combines threat detection, threat hunting, monitoring, and response within a broader security operations model.

The slides show incident response planning, 24/7 response services, digital forensics, breach notification support, post-incident remediation, and cyber insurance claim support.

Yes. It includes security tool deployment and configuration, stack optimization and consolidation, custom integrations, and SOAR-based automation.

It appears aimed at organizations that want an external partner to operate, strengthen, and optimize their security capabilities rather than only provide standalone tooling.

The main value is centralized, end-to-end security support: detecting threats, responding to incidents, investigating breaches, and improving the effectiveness of the overall security environment.

They focus on aligning strategic business objectives with technology transformation initiatives

It covers BTP assessments, license and cost optimization, system health analysis, and upgrade or migration assessments.

Data strategy, AI maturity assessments, and SAP Business Data Cloud assessments.

Cloud optimization, migration readiness, and cybersecurity advisory and assessments.

To deliver actionable recommendations that drive measurable business value and sustainable adoption.

Rise with SAP is primarily designed for existing SAP customers modernizing their current landscape. Grow with SAP supports new or smaller organizations pursuing a greenfield implementation in the public cloud.

Yes. SAP has positioned Cloud ERP as the strategic end state. Rise and Grow are structured transformation journeys that guide organizations into either the Public or Private Cloud Edition.

Public Cloud Edition emphasizes standardization and speed, with limited customization. Private Cloud Edition provides greater flexibility, single-tenant architecture, and broader configuration control, often preferred by highly regulated or complex enterprises.

Yes. Existing customers can take a Rise journey into either Public or Private Cloud Edition, depending on operational complexity, customization needs, and compliance requirements.

The choice influences implementation speed, total cost of ownership, governance structure, and long-term architectural flexibility. Aligning the cloud model with business priorities is critical for sustainable ERP modernization.

Aegis is Apiphany’s managed services offering designed to close operational gaps within a Rise with SAP environment.

No, customers retain responsibility for multiple administrative, governance, and integration tasks.

Typical responsibilities include user management, transports, landscape coordination, and certain integrations such as SSO.

CAST packages are optional add-on services from SAP that extend beyond the standard contract scope.

Aegis assesses the full landscape and provides tailored support to address uncovered responsibilities across the stack.

It is an integrated solution combining strategy, data products, secure platforms, and managed services to support BI, ML, and AI use cases.

It connects cloud ecosystems, databases, and third-party applications to create reliable data flows.

Yes, it supports migration of existing analytics environments using modern development and deployment practices.

It enables domain-driven data strategy and helps prioritize investments through a structured data product roadmap.

The solution claims up to 90% faster data delivery and approximately 30% reduction in total cost of ownership.

Azure offers hybrid flexibility, strong SAP integration, high availability, cost efficiency, and enterprise-grade security.

The process begins with a readiness assessment to evaluate workloads, risks, compliance, and infrastructure requirements.

A proof of concept validates assumptions, tests risks, and informs the development of a structured migration blueprint.

Organizations provision Azure resources, allocate a migration team, and conduct iterative testing to ensure accurate data transfer.

Continuous optimization and structured user training are essential to ensure performance, adoption, and operational stability.

It is an AI- and machine learning-driven managed services model focused on proactive incident avoidance and automated remediation.

It reduces reliance on manual L1 and L2 resources by using machine learning to detect and resolve issues proactively.

The system identifies anomalies, proposes solutions to engineers, and automatically executes approved fixes.

Resolution times can be reduced by up to 80% through automated and data-driven workflows.

No, the model combines advanced automation with senior technical experts to maintain oversight and strategic problem-solving.