Build once. Own your security. Operate with confidence.
CyberAI² designs, deploys, and operationalizes enterprise-grade cybersecurity capabilities through a structured, fixed-scope engagement. From governance, risk, and compliance to security architecture, AI-augmented SOC deployment, Zero Trust implementation, and continuous monitoring — an integrated security ecosystem tailored to your organization.
Measurable outcomes and transparent pricing — no open-ended billing, no scope drift.
Architecture, configurations, detection rules, automation, playbooks, and operational KPIs.
Built on your existing technology investments — the capability belongs to you.
Traditional cybersecurity engagements can create long-term operational dependencies, fragmented ownership, and recurring implementation costs. CyberAI² takes a different approach — a fully engineered, configured, tested, and documented capability that your organization can independently own and operate.
Every engagement begins with an agreed scope of work, architecture, deliverables, acceptance criteria, and timeline. No uncontrolled scope expansion. No unexpected costs.
We transfer the architecture, configurations, detection content, automation workflows, documentation, and operational knowledge. Your team retains full visibility and control.
Transition the capability to your internal team, or extend the engagement with dedicated resources for monitoring, management, and continuous improvement.
Understand your current posture, identify critical exposures, and establish a clear roadmap. Technical validation, governance review, and risk-based prioritization to inform your security investment decisions.
Transform your environment through a complete, fixed-scope implementation. We design, configure, integrate, harden, and validate the agreed technologies before transferring operational ownership to your organization.
Combine complete deployment with dedicated operational expertise. CyberAI² provides cybersecurity resources to manage, monitor, investigate, and continuously optimize your deployed environment.
CyberAI² combines security strategy, technical engineering, automation, and operational expertise to deliver integrated enterprise cybersecurity capabilities.
Security governance that connects business risk, regulatory obligations, and technical controls — risk assessments, policy development, control-framework mapping, audit readiness, maturity assessments, and remediation governance.
Identify, validate, and prioritize weaknesses before adversaries exploit them. Technical assessments across applications, infrastructure, cloud, identities, and configurations — validated findings, business-risk context, and post-remediation verification.
Translate security policies into enforceable technical controls. Configure and optimize technologies across identity, endpoint, email, network, applications, and cloud — Conditional Access, privileged access, EDR/XDR, and tenant hardening.
Engineer secure-by-design architectures aligned with recognized standards — reference architectures, high- and low-level designs, security baselines, and integration models, each validated against the approved target state.
Accelerate operations through intelligent automation and governed AI agents — agentic L1/L2 triage, evidence correlation, and controlled response, with human-in-the-loop gates, audit trails, and role-based permissions preserving oversight.
Turn fragmented telemetry into actionable detection and response. Design and deploy SIEM/XDR platforms, integrate log sources, normalize telemetry, configure analytics, and establish IR workflows — with an emphasis on coverage, data quality, and cost.
Build detections that identify meaningful threats and support timely response — ATT&CK-aligned use cases, detection-as-code, coverage validation, and tuning against real telemetry, reinforced by threat hunting and adversary emulation.
Establish continuous verification and least-privilege access across the enterprise — identity-centric security, device posture validation, segmentation, privileged access controls, and continuous monitoring across users, devices, apps, networks, and workloads.
A representative view of the AI-augmented SOC we deploy — unified alerting, ATT&CK-aligned coverage, endpoint posture, and governed response, all in one console.
Illustrative operations view. Figures are representative of a deployed AI-augmented SOC, not live customer data.
Every deployment removes implicit trust — enforcing identity-centric access, device posture validation, and segmentation across users, devices, applications, networks, data, and workloads, aligned to NIST SP 800-207.
Every engagement follows a structured five-phase model, with defined outputs, formal acceptance, and measurable progress. Indicative timelines are finalized during scoping, based on your environment, integration complexity, and agreed deliverables.
Evaluate the existing security architecture, control maturity, technology landscape, and operational readiness. Identify gaps, dependencies, and implementation priorities.
Develop the target-state security architecture, AI operating model, deployment plan, and control-hardening baseline. Validate technology requirements, licensing, dependencies, and costs before deployment.
Configure security platforms, integrate telemetry, deploy detection content, implement SOAR workflows, and establish AI-assisted operations. Apply Zero Trust controls and validate configurations within your environment.
Conduct detection testing, control validation, purple-team exercises, and operational readiness assessments. Tune detection fidelity, validate response workflows, and verify agreed performance indicators.
Transfer documentation, configurations, detection content, runbooks, and operational knowledge. Enable internal teams to operate independently — or transition to the CyberAI² managed-resource model.
Our architecture, engineering, and operational practices align with established cybersecurity frameworks and relevant regulatory requirements.
CyberAI² defines engagement-specific KPIs and acceptance criteria before implementation. Performance is measured using your actual environment, telemetry, incident workflows, and operational requirements.
Indicative targets, not guaranteed results. Final KPIs, detection volumes, coverage, and service commitments are established during scoping and validated against the deployed environment.
Whether you're establishing a new SOC, modernizing enterprise security, implementing Zero Trust, or introducing AI-driven security operations, CyberAI² helps you move from strategy to a deployed, measurable capability. Tell us about your environment, challenges, and objectives — we'll define the scope, delivery model, and implementation roadmap.