Why Network Detection and Response (NDR) is crucial for Companies?
In January 2025, the Council for Estate Agencies (CEA) experienced a data leak due to a technical glitch in their IT system. This incident resulted in the inadvertent disclosure of personal information, including names and NRIC numbers, of over 3,300 individuals. The data was sent to 18 unintended recipients.
In response, CEA swiftly:
This incident underscores the growing risk of data leaks and the importance of robust detection mechanisms in network security.
Why Data Leakage Detection is Critical in Network Security
Detecting data leaks in real-time is crucial for preventing unauthorized exposure of sensitive information. As seen in the CEA incident, early detection allows organizations to act swiftly and mitigate damage before it escalates.
Effective data leakage detection helps:
- 1Prevent Financial Losses: Early detection reduces the costs associated with data breaches, including fines and legal fees.
- 2
Protect Reputation: Swift action can minimize damage to an organization’s reputation and maintain customer trust.
- 3
Ensure Compliance: Detecting leaks helps organizations comply with data protection regulations and avoid penalties.
- 4
Maintain Operational Continuity: Quick responses can prevent disruptions to business operations caused by data loss.
To stay ahead of evolving threats, organizations must implement advanced network security solutions that detect and respond to data leaks before damage is done.
How SecAI NDR Detects Data Leakage
SecAI NDR is a real-time threat detection and monitoring platform that leverages AI-powered anomaly detection and built-in threat intelligence (TI). It strengthens cybersecurity by identifying suspicious data transfers and preventing leaks before they happen.
SecAI can also detect data leakage within the network through the following methods :
1. Anomaly Detection & Behavioral Analysis :
- Uses machine learning (ML) and AI to detect unusual data transfers in real time
- Triggers alerts if sensitive data is being moved outside the organization.
2. Deep Packet Inspection (DPI) :
- Inspects network traffic content to identify unauthorized transfers of sensitive data.
- Detects personal data (e.g., PII, financial records, intellectual property) attempting to leave the network.
3. Detection of Suspicious Network Activity :
- Identifies large outbound transfers to unknown or suspicious destinations. Flags unusual uploads to cloud storage (Dropbox, Google Drive, OneDrive, etc.).
- Detects covert data exfiltration techniques (e.g., steganography).
4. Encrypted Traffic Analysis :
- Even if data is encrypted, NDR analyzes traffic patterns, volume, and frequency for anomalies. Flags sudden spikes in encrypted traffic to external locations.
5. Integration with SIEM and DLP Solutions :
- SIEM correlates NDR alerts with other security logs to validate real threats. DLP enforces content-based blocking of sensitive data before it leaves the network.
6. Insider Threat & Credential Compromise Detection :
- Identifies insider threats by analyzing user behavior and access patterns.
- Detects compromised accounts attempting to transfer data outside authorized locations.
Future-Proof Your Security with SecAI NDR
With its network-wide visibility, AI-driven detection, and seamless integration with existing security tools, SecAI NDR provides a proactive defence against data leaks. As cyber threats evolve, organizations must stay ahead of attackers by investing in advanced network security solutions.
Don’t wait for a data breach to happen. Secure your network with SecAI NDR today.
