Risk Assessment

Business Continuity Management

Maturity Model Assessment

Data Flow Analysis

Risk Assessment

At CyRAACS, we perform an extensive Risk Assessment to identify the inherent and residual information security risks across the organization. Based on the assessment conducted, we recommend Risk Mitigation measures to ensure the appropriate security controls are in place in line with the organization risk appetite.

Business Continuity Management

Business Continuity planning is essentially a form of insurance. It gives organizations the comfort of knowing that, even if disaster strikes, the damage won’t be overwhelming.
Having an effective Business Continuity Management ensures that organizations can continue to provide an acceptable service in the event of a disaster, helping them preserve their reputation and keep revenue coming in. In the event that its key management resources are compromised, it is critical for an organization to be proactive and create a viable plan of countermeasures.

CyRAACS’s business continuity professionals provide consultancy help in identifying risks arising from third party vendor networks, managing them effectively, and planning how you can operate, improving your organizational resilience.

Maturity Model Assessment

An Information Security Maturity Model provides a path forward and enables the organization to periodically assess where it is along that path. Our unique qualitative and quantitative assessment model is adapted from the CMMI rating scale. CyRAACS’s Maturity Model Assessment framework helps to understand the organization’s risk exposure, and the maturity of the current information security program and identify areas for improvement, we also create benchmarks against other organizations and validate that security investments have improved security posture. We also provide a roadmap with opportunities in the areas of technology, process, and capabilities for information security.

Data Flow Analysis

For today’s way of the data treatment, it is an easy target to expose as organizations across the world are looking at the increasing amounts of data to deal with every day, this could be through e-mails, files, transactions, etc. Hence organizations urgently need to understand what their sensitive data is and where they are so that they can deploy appropriate controls to protect it. Data Flow Analysis (DFA) is the first step toward identifying sensitive data and implementing appropriate security controls for data protection.

CyRAACS’s DFA framework covers all the stages of the data lifecycle right from data acquisition to retirement. It helps to capture an accurate picture of the data flow at various stages within the organization. The output from DFA can act as key inputs to a Digital Rights Management (DRM) or Data Leakage Prevention (DLP) tool implementation, should an organization wish to implement those tools.

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- One Team. Many Career Paths.
- Why a Career in Cybersecurity at CyRAACS?
- Product and Technology
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- Contact Us

About Us

- What we bring to the table
- Our credentials
- Our Journey
- What defines us

Our Team

- Leadership Team

In the News

- Media Coverage
- Press Releases

Partnership

- Who Should Partner with Us
- Why Partner with CyRAACS

GRC Services

- Audits
- Consulting

Technical Services

- VAPT
- Specialized Services
- Niche Services

- AI Risk Assessment
- AI Security Assessment

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- TPRM
- Managed VAPT

Careers

- One Team. Many Career Paths.
- Why a Career in Cybersecurity at CyRAACS?
- Product and Technology
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Build your future with us.

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Enable continuous compliance with a unified, intelligent platform

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AI Platform Engineer

Apply Now

CyRAACS is a leading technology and AI-led consulting firm specializing in Governance, Risk, and
Compliance (GRC) and Vulnerability Assessment services. A key product offering of CyRAACS is an
innovative AI-enabled SaaS platform tailored for GRC and CyberSecurity, designed to empower our clients
with self-service capabilities. We are looking for a highly skilled and motivated AI Platform Developer to join
our growing technology team and contribute to the development of a high-quality, robust, and user-friendly
platform.

Role Overview

As an AI Platform Engineer at CyRAACS, you will play a crucial role in the design, development and deployment of the AI foundation for the CyRAACS digital platform. You’ll be responsible for data pipelines, data models, and API services that will be used by Application Development teams to build enterprise class mission critical applications. This is an exciting opportunity for someone who thrives in a fast-paced environment, possesses strong technical skills, and has a passion for building innovative,



cloud-native applications.

Role Overview

As an AI Platform Engineer at CyRAACS, you will play a crucial role in the design, development and
deployment of the AI foundation for the CyRAACS digital platform. You’ll be responsible for data pipelines, data models, and API services that will be used by Application Development teams to build enterprise class mission critical applications. This is an exciting opportunity for someone who thrives in a fast-paced setting, possesses strong technical skills, and has a passion for building cutting-edge, cloud-native applications.

Key Responsibilities

- Build, sustain and evolve the enterprise AI architecture along with head of Engineering, from
model lifecycle to governance to business integration.
- Build shared AI services and product features for CyRAACS SaaS platform and other service
portals
- Oversee and own adjacent AI adjacent initiatives at CyRAACS such as Machine learning models , ML Ops, Data Science , Analytics and Automation initiatives
- Build modular pipelines (RAG, agentic flows, auto-evidence collection) and ensure safe reuse
across domains.
- Build privacy preserving pipelines , enforce tenant isolation, and design secure feedback loops.
- Establish AI logs, traceability, and fairness controls.
- Design and embed AI into analyst and consultant workflows (e.g., MCP automation, TPRM
analysis agents).
- Provide architectural and deployment/post deployment inputs on vector DBs, PEFT fine-tuning,
- RAG orchestration, model hosting.
- Integrate and build containers that can be deployed in production (Docker, Kubernetes etc.)

Core Requirements

- 3–5 years of experience with end-to-end AI/ML design and operationalization with excellent
communication skills and attention to detail.
- Bachelors’ or Masters degree in AI /Machine learning/Data Science/Statistics or an adjacent
quantitative field
- Proficiency in Python, Java ,frameworks such as FastAPI, LangChain, vector databases (Qdrant,
Weaviate), and embedding models.
- Familiarity or Proficiency with AI developer tools such as Windsurf/Cursor/Claude code as well
as UI/UX design /Planning /Testing tools
- Proficiency in model deployment /inferencing on cloud platforms (AWS or Azure/Vertex AI
stacks)
- Ability to translate complex AI patterns into business value generating features and safe automation.
- Up to date with AI Research and trends and be able to translate papers into implementable code
for early AI adoption.
- Proven work in agent-based automation, privacy-enhancing techniques, and AI DevOps.

Core Requirements

- 3–5 years of experience with end-to-end AI/ML design and operationalization with excellent
communication skills and attention to detail.
- Bachelors’ or Masters degree in AI /Machine learning/Data Science/Statistics or an adjacent
quantitative field
- Proficiency in Python, Java ,frameworks such as FastAPI, LangChain, vector databases (Qdrant,
Weaviate), and embedding models.
- Familiarity or Proficiency with AI developer tools such as Windsurf/Cursor/Claude code as well
as UI/UX design /Planning /Testing tools
- Proficiency in model deployment /inferencing on cloud platforms (AWS or Azure/Vertex AI
stacks)
- Ability to translate complex AI patterns into business value generating features and safe automation.
- Up to date with AI Research and trends and be able to translate papers into implementable code
for early AI adoption.
- Proven work in agent-based automation, privacy-enhancing techniques, and AI DevOps.

📌 AI Platform Engineer (India)
🏢 Cyraac Services
📍 India