An intrusion detection system (IDS) monitors network traffic and system logs for malicious activity, identifying suspected attacks and warning defenders about potential intrusions. section 8.2
An IDS supports risk-based security decisions, but its alerts require context. AI-enhanced detection can produce false positives, trigger unnecessary incident response, and create alert fatigue when legitimate behavior resembles an attack. section 1.7
Traffic surge mistaken for an attack
An IDS incorrectly classifies a surge in network traffic as a distributed denial-of-service attack. The resulting response measures consume staff time and may reduce trust in automated security tools. Combining IDS analysis with rule-based systems, behavioral analysis, established security protocols, and human oversight helps validate alerts. section 1.7
Making the investment case
A $100,000 IDS investment is modeled as preventing a breach that could cost $2 million in fines, legal fees, and lost business, producing a projected 20x return on investment. section 4.3.2
An IDS can contribute to a broader defensive and governance program by:
- Analyzing data from multiple sources to identify complex attack patterns and provide early warnings. section 8.2
- Supporting incident response while avoiding dependence on AI as a standalone security solution. section 1.7
- Translating prevented incidents into estimated losses avoided, fines, legal costs, and business impact. section 4.3.2
