Cybersecurity Consulting
Security architecture, threat modeling, zero-trust roadmaps and risk-aligned strategy. Designed for boards, CISOs and engineering teams in parallel.
DCC Technology partners with regulated organizations, government bodies and large enterprises to design cybersecurity strategy, operate multi-cloud security, govern AI Agent and AI Application risk and run 24/7 managed operations. Stronger posture, clearer evidence, safer institutions — backed by CERETIVRA®, our licensed unified observation and security platform.
CERETIVRA® is a licensed product of DCC Technology.
Both AI Agents and AI Applications, governed end-to-end.
Hyperscale, regional, sovereign and private cloud support.
Local, on-premises and air-gapped deployment options.
Incidents and controls produce auditable proof chains.
DCC's service model focuses on institutional value: stronger governance, clearer risk ownership, secure cloud adoption, audit readiness and measurable operational resilience. Senior security architects, cloud leads and SOC engineers deliver in person — across finance, energy, public sector, telecom, healthcare and defense.
Each service stands alone or composes into a long-term operating program. Engagements are sized to the institution — strategic advisory, multi-year transformation or focused operational mandates.
Security architecture, threat modeling, zero-trust roadmaps and risk-aligned strategy. Designed for boards, CISOs and engineering teams in parallel.
Measure readiness against real adversaries. Findings translate into prioritized initiatives, owners, evidence and executive visibility.
Ethical adversary simulation across web, network, cloud and AI surfaces — methodology-aligned, with remediation guidance, not vulnerability dumps.
ISO 27001, KVKK, GDPR, NIS2 and sector regulations translated into ownership, evidence chains and audit-ready operating posture.
Posture, identity, policy and cost control across hyperscale, regional, sovereign and private cloud estates — neutral by design.
AI Agent and AI Application risk under operational governance — prompt, tool, memory, RAG, output, supply-chain and exfiltration controls.
Open and closed-source signal pipelines enriched for prioritization, exposure analysis and decision-grade response context.
24/7 observation, triage, containment and incident operations — single-agent, single-brain telemetry across IT and security.
Role-based security training, AI-assisted detection strategy and behavioral analytics — anchored in measurable security culture outcomes.
Not another SOC console. CERETIVRA connects service health, security events, vulnerabilities, AI workloads, response actions and audit evidence through one operational context — a single agent and a single operational brain across IT and security.
CERETIVRA is built to run where your data lives — fully on-premises in regulated estates, in a hybrid model alongside your existing infrastructure, or natively in cloud. Data sovereignty and operational control remain with the institution.
"Observation + Security = Single Agent, Single Brain."
Category VisionCERETIVRA is one of very few enterprise platforms that brings both AI Agents and AI Applications under operational security control — not just policy on paper. Prompt, tool, memory, RAG, output, supply-chain and exfiltration risk are observed, evidenced and governed alongside your existing IT and security telemetry.
Operational evidence for agent prompt, tool, memory, workflow, authorization and exfiltration risk. Every agent decision is captured as a span, governed by policy and tied to evidence.
Operational evidence for AI API, model serving, RAG, vector storage, privacy, output and supply-chain risk. Tenant-scoped telemetry, enforced rules and AI-filtered ledger of decisions.
CERETIVRA also ships with a tenant-scoped AI Command Center and operator-facing modules covering anomaly analysis, root cause, UEBA, predictive readiness and assistant operations — purpose-built for SOC and platform teams.
Tenant-scoped anomaly situations, model readiness and root-cause pivots in one operator surface.
Statistical and behavioral anomaly detection over the unified telemetry plane.
Service, asset and risk relationships traced into actionable causality narratives.
User and entity behavior analytics with policy-aware risk scoring.
Forecasting model for capacity, risk drift and policy fatigue across the estate.
Drift, versioning, evaluation and lifecycle hygiene for production AI components.
Pre-flight signals and post-deployment readiness scoring for AI services.
Operator copilot, knowledge surfacing and approval-gated automation for the SOC.
Metrics, logs, traces and service health.
Rules, correlation and threat detection.
Containment, actions and evidence.
Workflow, playbook and approvals.
Assets, services, ports and topology.
IOC, feeds, actors and enrichment.
Behavior and anomaly detection.
Posture and attack surface.
CVE, SLA and remediation governance.
Controls and evidence chains.
Configuration and file integrity.
Inventory and service relationships.
Agent + Application governance.
Tenant, RBAC, audit and agent control.
CERETIVRA is engineered as a single platform with three deployment realities — fully on-premises in regulated estates, hybrid alongside existing infrastructure, or cloud-native. Sovereignty, evidence and operational control travel with the institution, not with the vendor.
Fully sovereign deployment in your data center, with optional air-gapped operations for regulated and defense estates.
Telemetry collected at the edge and on-prem, processed in your private platform — with controlled connectors to public cloud.
Deploy in your cloud tenant of choice — hyperscale, regional or sovereign — with full multi-tenant isolation and evidence semantics.
DCC supports cybersecurity governance across hyperscale, regional, sovereign and private cloud estates. Our message is vendor-neutral cloud technology support — no platform bias, no lift-and-shift narrative.
We align cloud posture, identity, compliance, cost and operations across enterprise estates — including regulated and data-sovereign deployments. Microsoft, AWS, Google, Oracle, Alibaba, Huawei and local sovereign cloud providers all sit under the same governance fabric.
Policy, exposure, configuration and attack-surface visibility unified across providers.
Privileged access, conditional access, RBAC and tenant-level control plane.
Cloud spend and enterprise licensing aligned to real usage and business value.
Evidence, local data controls and regulated operating models from day one.
DCC combines senior consulting experience, managed-operations discipline and product engineering. The result is an enterprise-grade engagement model that runs from board strategy through to measurable, audited operations.
We design with the realities of security operations, cloud teams, GRC stakeholders and executive reporting in the same room.
Deep multi-cloud and platform fluency, without locking the message to one provider — a position the regulated enterprise actually requires.
Government, finance, energy, telecom, defense and regulated industries require control, evidence and disciplined data residency.
POC, roadmap, rollout and executive reporting are tied to measurable success criteria — not slideware.
We frame outcomes as enterprise value levers — fewer consoles, stronger evidence, faster decisions, governed AI risk and cloud-governance clarity. No exaggerated sales language; only what actually moves on the executive scorecard.
Observation, security, AI and evidence in one operational context.
Single-agent telemetry approach reduces endpoint complexity.
Risk, asset, service and evidence travel together end-to-end.
AI Agent and AI Application risk under one operational ledger.
Provider-neutral posture, identity and sovereignty control.
For consulting engagements, CERETIVRA information, multi-cloud governance or partnership inquiries, contact DCC Technology.