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CyberTech

Protect your organization’s data and AI systems

AI Security – Data & AI Security

AI Security helps agencies and businesses prevent loss of system and personal data (DLP), classify data risk, monitor and alert on anomalies, and protect AI applications with guardrails against prompt injection and jailbreaks plus encryption of user information.

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AI Security – Bảo mật dữ liệu & AI

Overview

As data and AI applications become part of everyday operations, risk lies not only in infrastructure but in how data is accessed, shared and fed to AI models. One malicious prompt or one misdirected file can expose sensitive information.

AI Security is an integrated system of four protection layers that work together and deploy alongside the organization’s existing infrastructure, applications and AI systems, with no need to rebuild them.

Key features

  • DLP – data loss prevention

    Manages and prevents loss of system and personal data through email, files, storage devices, web applications and internal channels, according to the organization’s policies.

  • Data risk classification

    Automatically scans, detects and labels how sensitive data is (personal, financial, internal, confidential) so protection matches each level of risk.

  • Anomaly monitoring and alerting

    Tracks access, download and data-transfer behavior, detects anomalies and alerts the security team in time.

  • Guardrails for AI applications

    An input and output control layer for chatbots, assistants and AI agents: protects against prompt injection, jailbreaks and policy-violating content, and encrypts or masks user information before it reaches the model.

  • Policies and audit logs

    Central management of protection policies, with a record of block, mask and alert events for investigation, reporting and compliance.

  • Flexible integration and deployment

    Connects to security monitoring (SIEM/SOC), large language model (LLM) gateways and existing applications, and supports on-premise deployment for sensitive data.

Protecting data and AI in one system

The protection layers share one policy set and one monitoring console, so data classified in the first layer is controlled consistently in the layers that follow:

  1. Classify: detect and label the risk level of data
  2. Control: DLP and guardrails apply policy based on the data label
  3. Monitor: record behavior, detect anomalies and alert
  4. Audit: keep records, report and refine policy

Who it is for

  • Government agencies and businesses that manage citizen, customer and internal data
  • Organizations putting chatbots, AI assistants or AI agents into operation that need to control risk
  • Banking, finance, healthcare and other sectors with strict personal-data protection requirements

Book a demo

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