S.No. | Use Case | Description | Example Tools/Technologies |
---|---|---|---|
1 | AI-Driven Cyber Deception | Creates decoy systems to mislead attackers | Darktrace Antigena, Attivo Networks |
2 | 5G and IoT Security | Secures high-speed and distributed networks | Cisco IBN, Fortinet IoT |
3 | AI-Driven SOC | Automates threat detection and response in security operations centers | IBM QRadar, Splunk UBA |
4 | AI-Powered EDR | Detects and responds to threats at endpoint level | CrowdStrike Falcon, Microsoft Defender ATP |
5 | AI-Powered SIEM Optimization | Enhances log correlation and event analysis | Exabeam, LogRhythm |
6 | Anomaly Detection | Identifies abnormal behavior that may indicate threats | Vectra AI, Corelight |
7 | Automated Incident Response | Automates responses to detected incidents | Demisto, Palo Alto SOAR |
8 | Botnet Detection | Analyzes traffic patterns to detect botnets | AlienVault OTX, McAfee Advanced Threat Defense |
9 | Cyber Risk Scoring | Assigns risk scores to assets/users for vulnerability prioritization | RiskIQ |
10 | Dark Web Monitoring | Monitors dark web for stolen credentials or malicious activity | Recorded Future, Intel 471 |
11 | Deepfake Detection | Identifies synthetic media to prevent misinformation attacks | Google Deepfake Detection API, Facebook AI |
12 | Encrypted Traffic Analysis | Analyzes encrypted data without decryption to detect malware | NetWitness, ExtraHop |
13 | Fraud Detection | Detects fraudulent financial transactions or user behaviors | Feedzai, FICO |
14 | Insider Threat Detection | Identifies risky internal user behaviors | Symantec EDR, UserMind |
15 | Network Traffic Analysis | Analyzes flows for anomalies and potential breaches | Plixer Scrutinizer, Zeek/Bro |
16 | Predictive Threat Intelligence | Forecasts future cyber threats using historical data | FireEye, Palo Alto Networks |
17 | Ransomware Protection | Uses behavioral analysis to detect ransomware early | Cylance, McAfee Total Protection |
18 | Security Information & Event Management | Improves SIEM with machine learning analytics | Splunk, ArcSight |
19 | Threat Detection & Prevention | Detects and blocks known and unknown threats in real-time | Trend Micro XDR, Sophos Central |
20 | User Behavior Analytics (UBA) | Monitors user actions to find deviations from normal behavior | IBM Watson for Cybersecurity, Varonis |
21 | Zero Trust Security | Applies AI for continuous verification of users and devices | Okta, Microsoft Azure AD |
š Additional AI-Enhanced Use Cases
S.No. | Use Case | Description | Example Tools/Technologies |
---|---|---|---|
22 | Adversarial AI Detection | Detects and mitigates attacks involving deceptive AI inputs | MITRE ATT&CK, AI Red Teaming Platforms |
23 | Automated Data Privacy Compliance | Ensures compliance with GDPR, CCPA, etc. through automated scanning | OneTrust, TrustArc |
24 | Automated Patch Management | Prioritizes and deploys patches automatically | SolarWinds Patch Manager |
25 | Cloud Security Automation | Automates monitoring and protection of cloud environments | AWS WAF, Azure Sentinel |
26 | DNS Security | Detects DNS-based threats like tunneling or DGA attacks | Cloudflare, Akamai |
27 | Deception Technology | Uses decoys to trap attackers and gather intelligence | Illusive Networks, TrapX |
28 | Digital Forensics | Supports forensic investigations with AI-driven analysis | Guidance EnCase, AccessData |
29 | Forensics Log Analysis | Reconstructs attack timelines and root causes from logs | Sumo Logic, LogRhythm |
30 | Identity and Access Management (IAM) | Manages and secures identity access dynamically | Ping Identity, Okta |
31 | Malware Analysis | Classifies and analyzes malware samples for threat mitigation | VirusTotal, ANY.RUN |
32 | Phishing Detection | Uses NLP and behavioral models to detect phishing emails/websites | Proofpoint, Mimecast |
33 | Quantum-Safe Cryptography | Develops cryptographic methods resilient to quantum computing threats | NIST Post-Quantum Crypto Initiative |
34 | Secure DevOps (DevSecOps) | Integrates AI into CI/CD pipelines for security automation | Checkmarx, SonarQube |
35 | Supply Chain Security | Detects vulnerabilities in software dependencies | Snyk, WhiteSource |
36 | Threat Hunting | Proactively hunts for hidden threats using AI insights | Mandiant, Rapid7 InsightIDR |
37 | Voice and Chatbot Security | Secures voice assistants and chatbots against impersonation or eavesdropping | Nuance Communications, Amazon Lex |
38 | Self-Learning AI for Adaptive Security | AI adapts to new threats and environments without explicit programming | Darktrace, Cybereason |
ā Summary by Application Type
Application Area | Key AI Use Cases |
---|---|
Threat Detection | Anomaly detection, Botnet detection, Malware classification, Ransomware protection |
Incident Response | Automated response, Forensics, Threat hunting |
Network Security | Traffic analysis, Encrypted traffic inspection, DNS security |
User & Entity Behavior | Insider threat detection, User behavior analytics |
Compliance & Governance | Risk scoring, Data privacy compliance, Patch management |
Cloud & Infrastructure | Cloud security automation, IAM, Zero trust security |
Emerging Tech Defense | Deepfake detection, Quantum-safe crypto, Adversarial AI defense |