An unhandled error has occurred. Reload 🗙
AI Cyber Security illustration

AI Cyber Security

Microsoft-native cyber security services strengthened by AI-assisted analysis, flexible operating models, and executive-level governance support.

Improve cyber resilience practically without enterprise overhead.

AI Cyber Security combines Microsoft security platforms with AI-assisted analysis to deliver stronger visibility, response, governance, and cost-effective protection. The focus is practical uplift for SMEs that need disciplined operations without unnecessary complexity.

A strong fit for Microsoft-based organisations needing better security outcomes.

SMEs using Microsoft 365 that need stronger cyber security without enterprise complexity or enterprise operating cost.

Financial services and wealth management firms with stronger compliance expectations and lower tolerance for weak controls.

Organisations without internal cyber security capability that still need ongoing security operations and governance.

Businesses that want to get more value from existing Microsoft security investments.

What this service model is designed to improve.

Stronger posture

Improve security posture and risk visibility quickly across Microsoft-centric environments.

Continuous response

Use AI-assisted analysis to support ongoing monitoring, triage, and incident response.

Governance confidence

Strengthen compliance alignment, reporting, and executive oversight.

Better economics

Adopt flexible security operating models that improve resilience without unnecessary overhead.

Broader protection

Protect both traditional IT systems and emerging AI environments through one operating model.

Four connected service lines for security uplift and governance.

Cyber Risk Assessment and Strategy

Assessment of cyber and AI-related risks with a clear, prioritised strategy aligned to business and compliance needs.

Technical and governance security assessment

Microsoft Secure Score evaluation and optimisation planning

AI-specific risk assessment including data exposure and model risks

Gap analysis against standards such as ISO 27001/27002, NIST, and POPIA

Executive-level reporting, prioritisation, and remediation roadmap

Microsoft Security Platform Deployment

Implementation and optimisation of the Microsoft Defender ecosystem for integrated protection.

Defender for Endpoint, Office 365, Identity, and Cloud Apps deployment

Microsoft Sentinel integration for SIEM and SOAR use cases

Identity protection and Conditional Access policy configuration

Email security hardening with SPF, DKIM, DMARC, and MTA-STS

Secure baselines, tuning, and false positive reduction

Managed Detection and Response

Ongoing monitoring and response using AI-assisted analysis with a flexible cost model.

Continuous monitoring with flexible coverage approaches

AI-assisted alert triage and prioritisation

Incident investigation and response workflows

Automated playbooks and threat intelligence integration

Monthly reporting, trend analysis, and ongoing tuning

vCISO and vCTO Services

Executive-level cyber security and technology leadership delivered as an ongoing service.

Monthly governance and strategy sessions

Cyber risk register development and management

Policy refinement and compliance alignment

AI governance, incident planning, and tabletop support

Third-party risk review and AI-assisted security research

Signals that shape the AI Cyber Security offer today.

Questions that usually come up early in the discussion.

The first phase is usually an assessment and prioritised uplift plan, followed by the platform and operating changes that deliver the fastest risk reduction.

Not necessarily. The preferred model is to build on your Microsoft estate where possible and improve the value of tools you already own.

Monitoring typically covers alert review, triage, investigation, playbook execution, reporting, and continuous tuning based on your agreed service model.

The service model allows high-severity incident response to be handled on a time-and-materials basis instead of forcing a large fixed retainer where it is not commercially sensible.

Security strategy, controls, reporting, and governance are designed to align with practical obligations such as POPIA and broader ISO or NIST-oriented expectations.

AI assists with triage, prioritisation, research, and operational scale so security teams can respond faster and make better use of available data.

Start with posture, priorities, and the right operating model.

Use the dedicated demo page to share your Microsoft estate, security maturity, and where you need uplift first.