Self-Reinforcing Protection
vMaxGuard provides continuous protection that not only detects and mitigates threats but also self-reinforces its defense capabilities. This adaptive approach enables vMaxGuard to evolve with emerging threats through a dynamic cycle of sensing, profiling, mitigating, and remediating. By leveraging Bot Management, AI-WAF, API Protection, and DDoS mitigation, vMaxGuard adapts to evolving threats and optimizes its protection mechanisms in real-time.
Collect Information
vMaxGuard collects multi-dimensional data to detect abnormal patterns and potential threats across traffic and request layers.
Traffic Analysis:
- Analyses inbound and outbound traffic to identify anomalies in request volume, source IP distribution, and protocol usage.
- Integrates DDoS Mitigation to track volumetric spikes and malicious traffic surges.
Client Fingerprinting:
- Gathers device, browser, and network signatures to establish unique identifiers for each client.
- Utilises Bot Management to detect automated tools and identify malicious scripts.
Content Inspection:
- Scans request payloads and response bodies to detect suspicious data structures and code injection attempts.
- Applies AI-WAF for dynamic rule analysis and signature-based detection.
Profile the Threat
vMaxGuard builds a detailed threat profile based on data gathered during the sensing phase, allowing for more accurate response actions.
behaviour Analysis:
- Monitors request behaviour patterns, such as navigation flows, frequency of requests, and response access sequences.
- Correlates behaviour using API Protection to identify potential abuse patterns targeting specific endpoints.
Risk Scoring:
- Assigns risk scores to each request based on the client's fingerprint, historical behaviour, and traffic origin.
- Cross-references with Bot Management to classify threats as low, medium, or high risk.
Contextual Mapping:
- Constructs attack paths to identify threat origin, entry points, and targeted assets.
- Implements AI-WAF to map multi-stage attacks and correlate activity across endpoints.
Mitigate: Take Actions to Mitigate Threats
vMaxGuard executes real-time protective actions based on the threat profile and risk assessment.
Dynamic Blocking:
- Blocks IPs, ranges, or specific request patterns based on predefined rules and threat profiles.
- Applies API Protection to restrict access to sensitive endpoints and enforce rate limits.
Challenge-Response Mechanism:
- Issues CAPTCHA or JavaScript challenges to suspicious clients identified through Bot Management.
- Redirects high-risk requests to decoy pages or honeypots for further analysis.
Payload Sanitisation:
- Filters malicious payloads through AI-WAF, blocking or modifying response data to prevent data leakage or exploitation.
- Enforces Request Parameter Validation to detect and neutralise malicious inputs.
Remediate: Fix by Eliminating and Reducing
vMaxGuard refines its detection models and security policies based on post-incident analysis, ensuring continuous improvement.
Threat Intelligence Integration:
- Updates detection signatures and heuristic models based on new threat data and incident feedback.
- Enhances AI-WAF with adaptive learning to recognize new attack patterns and adjust rule sets.
Incident Analysis and Reporting:
- Analyses attack data to identify persistent threats and evolving tactics.
- Utilises API Protection to log and trace API-based attacks, providing forensic data for investigation.
Adaptive Policy:
- Adjusts Bot Management rules to account for new attack vectors and emerging automation tools.
- Refines DDoS Mitigation thresholds based on observed attack frequencies and volumetric trends.