Cyber Defence and Detection within Cyber Security Services (CSS) forms a vital foundation for managing fraud risks by implementing advanced detection, prevention, and response mechanisms against cyber threats. This discipline combines threat intelligence, real-time monitoring, and specialized analysis to detect potential fraud signals at an early stage. By continuously adapting defense technologies and processes to the changing attack patterns, an adaptive security landscape is created. The set of measures focuses on minimizing the chances that malicious actors succeed in financial manipulation, data theft, or sabotage that undermine operational continuity and reputation.
Financial Mismanagement
In the case of financial mismanagement, the detection of unauthorized changes in accounting systems is central. Advanced Security Information and Event Management (SIEM) platforms correlate log data from ERP and financial management applications to recognize irregular transactions and deviations in budget allocations in real time. Periodic threat hunting sessions focus on reviewing database backups and batch jobs for year-end closings to timely discover manipulation of balance sheet items or cash flows. Integration of audit trails with blockchain-like immutable storage ensures that every change is irrefutably recorded, making fraudulent adjustments directly traceable to specific actions and users.
Fraud
In fraud prevention via Cyber Defence and Detection, behavioral analysis at the network and user level is used to identify suspicious patterns such as credential stuffing, account takeover, and social engineering attacks. Machine learning models in network behavior analysis (NBA) continuously scan for abnormal connection patterns, such as unusual data volumes or connections from unexpected geographical locations. Damaging payloads and command-and-control communications are intercepted by inline inspection of encrypted traffic, after which automatic containment measures take place. Integrated SOAR workflows (Security Orchestration, Automation and Response) accelerate the analysis and reset the system to a secure baseline, ensuring fraudulent sessions do not have a chance to expand.
Bribery
Digital bribery practices often manifest as invisible changes to procurement and contract management systems. Extensive log monitoring detects deviations in approval flows, such as expedited approvals without mandatory peer review or skipping contract audit steps. Modern threat intelligence feeds enrich transaction data with external due diligence information, automatically flagging invoices to potential bribe payers. Immutable audit trails and cryptographic hashes on document versions make every change directly verifiable for internal and external auditors, significantly reducing the chance of covert price-fixing or invoice manipulation.
Money Laundering
Money laundering practices take advantage of automated financial flows and virtualized environments, making transaction patterns require thorough monitoring. Real-time transaction monitoring platforms link network and application logs to make fragmented transactions (structuring) and layering visible. Patterns of repeated small deposits followed by large-scale transfers are programmed as detection rules, after which suspicious flows are immediately isolated. Additionally, cross-system correlation makes it visible if identical customer or account references appear across multiple environments, indicating strawman constructions. Once a pattern matches money laundering IoCs, a SAR workflow is activated for coordination with compliance and legal teams.
Corruption
Corruption investigations via Cyber Defence and Detection focus on hidden manipulation of governance and reporting data. Integrity monitoring continuously compares cryptographic hashes of policy documents, minutes, and internal memos with a trusted baseline to detect unlawful changes. Advanced text analysis on email and chat logs signals key terms and entity connections indicating conflicts of interest or secret agreements. Role-based access governance, combined with just-in-time privilege assignment, limits the scale and duration of access to critical decision-making systems, preventing corrupt employees from making prolonged secret changes without detection.
Violations of International Sanctions
Detection of sanction violations requires inline inspection of all outgoing data and communication flows. SSL/TLS interception is applied to API calls and message traffic to compare payloads with up-to-date sanction lists and watchlists. Geo-IP filtering and DNS anomaly detection block connections to sanctioned entities or regions. Policy-as-Code frameworks automatically run every deployment and configuration change through sanction rules before going live. If a violation is detected, blocks are imposed, logs are encrypted and archived, and a compliance report is generated for regulators, ensuring full compliance is always demonstrable.
