Modern AI Monitoring
Intelligent and adaptive security rules that evolve with emerging threats.
Market Situation
The AI security market is rapidly growing but still immature, with adoption outpacing protection. Key challenges include expanding attack surfaces (prompt injection, data leakage, adversarial inputs), lack of visibility and governance (shadow AI, unmanaged APIs) and new risks from autonomous agents and non-deterministic behavior.
Organizations also struggle with compliance, auditability and secure integration into existing systems. The main areas to solve are real-time monitoring, data protection, policy enforcement and securing AI agents and APIs across the full lifecycle.
Possible Solution
Modern security policies in an Nex Firewall are dynamic, context-aware rules driven by machine learning and real-time analytics rather than only static rule sets.
They typically include:​
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Behavior-based detection (identifying abnormal traffic patterns, not just known threats)
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Adaptive policy enforcement (automatically adjusting rules based on risk level)
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Identity and context awareness (user, device, location, application)
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Zero-trust principles (default deny, continuous verification of all traffic)
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Automated threat response (blocking, isolating, or rate-limiting suspicious activity in real time)
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Continuous learning updates from global threat intelligence and telemetry
Key Features
AI monitoring provides real-time visibility and control over all AI interactions, including prompts, responses and agent actions. It continuously analyzes behavior to detect threats such as prompt injection, data leakage and misuse, while enforcing security policies dynamically. By combining logging, anomaly detection and risk scoring, it enables proactive protection, auditability and compliance. This ensures AI systems operate securely, transparently and within defined governance boundaries without disrupting normal usage.
Full interaction visibility
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Track every prompt, response and action
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Log who accessed what data and why
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Provide audit trails for compliance
Real-time threat detection
AI monitoring detect:
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Prompt injection attacks
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Data leakage (PII, secrets)
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Jailbreak attempts
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Malicious tool usage
Behavioral / anomaly monitoring
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Detect unusual AI usage patterns
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Identify abnormal agent actions
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Use ML to distinguish normal vs malicious behavior
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Policy enforcement (monitor → alert → block)
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Monitor (log only)
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Alert (notify security team)
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Block / redact (prevent action)
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Policies can be enforced inline on prompts and responses
Content inspection & filtering
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Scan text for sensitive data (credentials, PII)
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Redact or mask outputs
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Prevent unsafe or non-compliant responses
Tool & API call monitoring
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For AI agents:
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Inspect every tool call before execution
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Validate parameters and intent
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Stop harmful actions (e.g., deleting data, calling unsafe APIs)
Compliance & audit monitoring
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Ensure adherence to GDPR, HIPAA, NIS2, EU AI Act, internal policies
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Maintain logs for audits
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Provide explainability (“why was this blocked?”)
Risk scoring & alerting
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Assign risk levels (low / medium / high)
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Trigger alerts for SOC / SIEM systems
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Integrate with security dashboards
Contact offices
London (UK)
Easthampstead Road
Wokingham
RG40 3AE Berkshire
+44 (7887) 505 116
Prague (CZ)
Freyova 1/12
Areal Pivovar offices
190 00 Prague
+420 (730) 561 700
Vienna (A)
Scheydgasse 41
A-1210 Vienna
+43 (660) 400 1409
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