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

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

Intelligent IAM Services

  • Access policies for AI models
  • Data access control (RBAC/ABAC)

Risk analysis

  • Monitoring and analysis of threat landscapes
  • Vulnerability assessments

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

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

Strategy and governance

  • Use‑case catalog with risk tiers and business value mapping
  • AI governance board and approval workflow

Data and training pipeline

  • Data provenance, consent tracking and labeling quality checks
  • PII removal, synthetic data or differential privacy for training sets

Model selection and procurement

  • Vendor/model due diligence on licensing, safety and update cadence
  • Decision criteria for on‑prem vs cloud deployment and cost considerations

Safety, ethics and compliance

  • Bias and fairness testing with documented mitigation steps
  • Content safety filters, explainability standards and regulatory mapping

MLOps and monitoring

  • Model versioning, CI/CD pipelines and deployment gates
  • Performance monitoring, drift detection and retraining triggers

Security and incident response for models

  • Protections against prompt injection, model inversion and data poisoning
  • Fine‑grained access controls, full logging and a model incident response playbook

Scoping and asset discovery

  • Authoritative inventory of hosts, applications, containers and cloud assets
  • Attack surface mapping of public IPs, APIs and third‑party integrations

Automated scanning and baseline

  • Regular authenticated and unauthenticated network and host scans
  • CSPM checks and container/image vulnerability scanning

Manual penetration testing

  • External and internal pentests with proof‑of‑concepts and remediation guidance
  • Web app and API testing for OWASP Top 10, business logic and auth flaws

Risk scoring and prioritization

  • Contextual risk scoring combining CVSS with business impact
  • Prioritized remediation lists and standard remediation playbooks

Verification and continuous validation

  • Retesting after fixes and validation of closure
  • Integration of scanning into CI/CD pipelines for shift‑left validation

Reporting, metrics and governance

  • Executive summaries and technical appendices with KPIs (time to remediate, open vuln trend)
  • Patch windows, exception handling and quarterly governance reviews