Cybersecurity Analytics Services
Expert in Cyber Defense, Risk Management, and AI Implementation
Risk assessment and management
- Identification and assessment of technological risks
- Development of risk mitigation strategies
Compliance and regulatory services
- Assistance with regulatory compliance (e.g., GDPR, DORA, ISO, HIPAA)
- Internal audits and assessments
IT management
- Development of an IT management framework
- Development of policies and procedures
Business continuity and disaster recovery planning
- Impact analysis on operations
- Development of recovery strategies and plans
Third-party risk management
- Supplier risk assessment
- Continuous monitoring of relationships with third parties
Access Governance and Compliance
- Identity & access risk assessment (IAM)
- Defining IAM policies within IT governance
Governance and policy
- Data protection framework, roles (DPO, data owners) and approval workflows
- Privacy KPIs and regular governance reviews
Data inventory and classification
- Automated discovery of PII and business data across systems
- Classification labels and data flow mapping (storage, processors, transfers)
Technical safeguards
- Encryption at rest and in transit with centralized key management
- Access controls (RBAC, MFA) and DLP for endpoints, email and cloud
Privacy by design and lifecycle
- DPIAs for high-risk processing and privacy controls in development
- Retention schedules, archival procedures and secure deletion
Third party and contracts
- Standardized DPAs/SCCs and records of processing
- Vendor risk assessments and audit tracking
Monitoring, training and incident readiness
- Logging, anomaly alerts and audit trails for sensitive data access
- Role-based privacy training and breach response playbooks
Developing an AI strategy
- Assessing business needs and AI capabilities
- Creating a roadmap for AI adoption
Data strategy and management
- Data collection, cleaning, and preparation
- Data management and quality assurance
Development and implementation of models
- Building machine learning models
- Implementation and integration of AI solutions
AI ethics and compliance
- Ensuring ethical AI practices
- Compliance with AI regulations and standards
Training and support
- Staff training in AI tools and technologies
- Ongoing support and maintenance of AI systems
Strategy
- Mapping business value with approval criteria
- Acceptable use policies and decision-making processes
Model selection
- Vendor/model due diligence: licenses, security
- Decision criteria for on-prem vs cloud deployment, cost considerations
Safety and ethics
- Noncompliance tests with documented remediation steps
- Content safety filters, ethically aligned standards
MLOps and monitoring
- Definition of models, CI/CD, tests and deployment gates
- Performance monitoring, drift detection and rollback procedures
Security and incident response
- Protection against prompt injection, model inversion, and data poisoning
- Access controls, comprehensive logging, and an incident response playbook for models
Safety awareness training
- Employee training programs on cybersecurity best practices
- Phishing simulations
Security Operations Center (SOC) Services
- 24/7 security event monitoring and management
- Security information and event management (SIEM)
Response to incidents
- Incident detection and analysis
- Containment, elimination, and recovery
Penetration tests
- External and internal penetration testing
- Web application security testing
Secure Identity Lifecycle Management
- Identity & access risk analysis
- SOC monitoring of IAM events
Scoping and asset discovery
- Inventory of hosts, applications, containers, and cloud resources
- Attack surface mapping: public IPs, exposed APIs, and third-party integrations
Automated scanning
- Regular authenticated and unauthenticated network and host scans
- CSPM controls and vulnerability scanning of images and containers
Penetration testing
- External and internal pentests with proof-of-concept and remediation guidance
- Web application and API testing for OWASP Top 10, business logic, and authentication flaws
Risk scoring and prioritization
- Contextual risk scoring combining CVSS with business impact
- Remediation lists and standard remediation playbooks
Verification and validation
- Retesting after fixes and validation of closure
- Integration of scanning into CI/CD pipelines for shift‑left validation
Reporting and metrics
- Executive summaries for the board and technical appendices with KPIs (remediation time, open‑vulnerability trend)
- Patch management scheme, quarterly asset reviews
Governance Frameworks
- Cybersecurity Governance Frameworks
- Governance Framework Implementation
