Keep sensitive data where it belongs
DLP, database security and GenAI leakage protection - so sensitive data doesn't leave through a chat window.
DLP, database security and GenAI leakage protection - so sensitive data doesn't leave through a chat window.
Your data doesn't stay where you put it. It moves through email, gets pasted into a GenAI chat window, syncs to a personal device, and sits in a database that was locked down two reorganisations ago. Data security is what keeps that movement from becoming a breach, and in 2026, the fastest-growing risk isn't a hacker breaking in; it's an employee pasting a customer record into an AI prompt.
Vinca Cyber's data security practice protects sensitive information across endpoints, networks, cloud and GenAI workflows, bringing the same 360° Cyber Resilience approach we've applied for 22 years to the data layer specifically, not just the infrastructure around it.
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Data security is the set of controls that protect information from unauthorised access, loss or exposure across its entire lifecycle, while it's stored, while it moves, and while someone is actively using it. It sits alongside, but isn't the same as, data & database security, which focuses specifically on the databases and data stores where structured information lives: access controls, encryption at rest, audit logging and query-level monitoring.
Data security and privacy are related but distinct too - security is about preventing unauthorised access; privacy is about ensuring data is collected, used and retained lawfully and transparently. A mature program addresses both together, since a privacy failure is very often a security failure that simply reached a person's personal data instead of a system.
Every engagement starts with discovery - you can't protect data you don't know you have - and moves to policy design, deployment and tuning, so DLP alerts reflect real risk rather than burying your team in false positives.
Policy-based monitoring and blocking across email, web, cloud apps and endpoints, powered by Forcepoint and Trellix.
Visibility into what's being pasted into ChatGPT-style tools and AI agents, and blocking sensitive data before it leaves your perimeter.
Access control, encryption and audit logging for the databases where structured data actually lives, using Fortinet DLP alongside database-native controls.
Finding and labelling sensitive data (PII, PCI, PHI, IP) across structured and unstructured stores before you can protect it.
Ongoing configuration review, patching cadence and access-review support for on-prem and cloud database environments.
The same patterns show up across engagements: sensitive files sitting in shared drives with no access restrictions; database service accounts with far more privilege than any application actually needs; DLP policies that were configured once at rollout and never revisited as new SaaS and AI tools were adopted; and no clear owner for data security and privacy decisions, so requests default to whoever answers the ticket first. None of these require a sophisticated attacker. They're waiting to be found by whoever looks first - attacker or auditor.
Classify and locate sensitive data across structured and unstructured stores, including GenAI tool usage.
These programmes are designed to be operated together. If this page is the strand you need first, the others are usually next.
CSPM, CNAPP and 24/7 monitoring across AWS, Azure and GCP - posture that doesn't stop at the assessment.
SPF, DKIM and DMARC enforcement plus phishing filtering - so your domain can't be spoofed and malicious mail doesn't land.
Managed EDR/XDR with 24/7 response - so a phished laptop doesn't become a full network compromise.
Check Point and Palo Alto NGFW with ongoing policy tuning and 24/7 monitoring up to Layer 3.