Introducing Complete AI Security: Guardrails, Threat Intelligence & Red Team Scanning

When we launched NeuronEdge, PII detection was the foundation—protecting sensitive data in every AI API call before it reaches third-party providers. We built the fastest, most accurate dual-engine detection system in the industry, achieving sub-20ms latency at edge scale. But protecting data in transit is only one piece of AI security.

Today we're shipping three features that complete the picture: the Guardrails Engine, Threat Intelligence Dashboard, and Red Team as a Service. Together with PII detection, these create a defense-in-depth security stack that protects AI applications from data leakage, adversarial attacks, and behavioral threats—all without leaving the edge.

The Security Gap

PII detection protects data, but it doesn't defend against adversarial behavior. A perfectly redacted prompt can still contain a jailbreak attempt that tricks the model into ignoring safety guidelines. A RAG-augmented query with no PII can carry an indirect prompt injection hidden in retrieved context. A chatbot that never sees real customer data can still generate responses that violate content policies or leak proprietary information.

Consider these real-world scenarios that PII detection alone cannot prevent:

Enterprises need defense-in-depth: behavioral guardrails that detect and block malicious patterns, real-time threat intelligence to monitor attack trends, and continuous validation through adversarial testing. That's what we're delivering today.

Feature 1: Guardrails Engine

The Guardrails Engine adds a behavioral security layer that runs alongside PII detection. It analyzes both incoming prompts and outgoing LLM responses for five categories of threats, executing configurable actions when violations are detected.

Each guardrail rule can execute one of three actions when a violation is detected:

• Log — Record the event in audit logs for review (Professional+)
• Warn — Log the event and add a warning header to the response (Professional+)
• Block — Reject the request immediately with a 403 error (Enterprise only)

Quick Setup with Preset Templates

We've created five preset guardrail templates that cover common enterprise security scenarios. Choose a template, adjust sensitivity thresholds if needed, and you're protected in minutes:

• Standard Security: Jailbreak detection, basic prompt injection, content policy (violence, hate speech). Recommended for most applications.
• Enterprise Security: All standard rules plus indirect injection detection, response safety scanning, and stricter thresholds. Best for regulated industries.
• Content Safety: Focused on user-facing applications: blocks harmful content, profanity, and adult themes in both inputs and outputs.
• Competitor Shield: Prevents your AI from recommending or discussing competitor products. Define competitor names and get alerts when they appear.
• Data Loss Prevention: Blocks attempts to extract training data, system prompts, or proprietary context. Essential for RAG applications.

Custom Rules and Test Bench

For scenarios beyond presets, create custom guardrail rules with regex patterns, keyword lists, or semantic similarity scoring. Each rule includes a built-in test bench where you can validate detection accuracy against sample prompts before deploying to production.

{
  "name": "competitor_mention",
  "category": "content_policy",
  "action": "warn",
  "pattern": {
    "type": "keyword_list",
    "keywords": ["CompetitorCorp", "RivalAI", "AltProvider"],
    "case_sensitive": false
  },
  "scope": ["prompt", "response"]
}

Feature 2: Threat Intelligence Dashboard

The Threat Intelligence Dashboard provides real-time visibility into security events across your AI infrastructure. It aggregates guardrail violations, PII detection anomalies, and injection attempts into a unified timeline, giving security teams the context they need to respond to emerging threats.

Real-Time Event Monitoring

Every security event—whether a blocked jailbreak, a logged prompt injection, or a PII redaction anomaly—flows into the dashboard with full context: timestamp, API key, geographic origin, rule triggered, and sanitized payload excerpt. Filter by severity, time range, or event category to drill into specific attack patterns.

Attack Timeline and Aggregation

The attack timeline visualizes security events over hourly and daily intervals, making it easy to spot attack campaigns or coordinated probing. See which guardrails are triggering most frequently, identify API keys under attack, and correlate events across different security layers.

Security Posture Score

NeuronEdge continuously evaluates your security configuration and event history to compute a Security Posture Score from 0 to 100, with letter grades from A (90-100) to F (<50). The score incorporates:

• Guardrail coverage (how many attack categories are protected)
• Rule enforcement (log vs. block ratio)
• Attack frequency (recent violation trends)
• Configuration gaps (missing policies, untested rules)

Track your score over time to measure security improvements or spot degradation after configuration changes.

SIEM Integration

Security events integrate with your existing SIEM and alerting infrastructure through two mechanisms:

• Webhooks (Professional+): HTTP POST to your endpoint for each high-severity event, with configurable batching and retry logic
• Server-Sent Events (Enterprise): Real-time SSE stream for live dashboards and instant alerting without webhook latency

Feature 3: Red Team as a Service

The best way to validate security is to attack it. Our Red Team as a Service feature runs automated adversarial probes against your AI endpoints, testing for exploitable weaknesses across all five guardrail categories. Think of it as continuous penetration testing for your AI security posture.

Three Intensity Levels

Choose the scan intensity based on your testing budget and thoroughness requirements:

Five Probe Categories

Each scan distributes probes evenly across the five guardrail categories, using state-of-the-art adversarial techniques:

• Jailbreak probes: Role-play scenarios, instruction overrides, encoded payloads, multi-turn attacks
• Prompt injection probes: Direct manipulation attempts, delimiter attacks, context poisoning
• Content policy probes: Boundary-pushing content, policy evasion, topic drift
• Indirect injection probes: RAG poisoning, document embedding attacks, retrieval manipulation
• Response safety probes: Prompt leakage attempts, training data extraction, unintended information disclosure

Weakness Analysis and Remediation

After each scan completes, you receive a detailed report ranking detected weaknesses by severity (Critical, High, Medium, Low). Each weakness includes:

• A sanitized example of the successful attack
• The guardrail category that failed to block it
• Recommended remediation steps (rule adjustments, threshold changes)
• Impact assessment and CVSS-style risk scoring

Regression Testing

Compare scan results over time to track security improvements or detect regressions. The dashboard visualizes trends in overall security score, category-specific success rates, and time-to-remediation for discovered vulnerabilities.

Scheduled Weekly Scans

Enterprise customers can configure automated weekly scans for continuous validation. Set your intensity level and notification preferences once, and NeuronEdge will run scans every Monday at 0200 UTC, delivering reports to your security team via email and Slack.

The Complete Security Stack

With these three features, NeuronEdge now provides defense-in-depth across four security layers:

Each layer complements the others: PII detection ensures no data leaks, guardrails prevent behavioral exploits, threat intelligence reveals attack trends, and red team scanning validates that everything works as intended. Together, they create the most comprehensive AI security platform available.

Pricing & Availability

These features are available today across our Professional and Enterprise tiers:

Getting Started

Ready to upgrade your AI security? Follow these four steps to enable complete protection:

• 1

  Enable guardrails on your policy

  Navigate to your policy settings and activate the Guardrails Engine. View documentation

• 2

  Choose a preset template or create custom rules

  Start with Standard Security for immediate protection, or design custom rules for your specific threat model.

• 3

  Monitor the Threat Intelligence dashboard

  Watch security events in real-time and track your security posture score. View documentation

• 4

  Run your first red team scan

  Enterprise customers: launch a Standard scan to validate your guardrails and discover weaknesses. View documentation

These features represent our vision for complete AI security: defense-in-depth that protects data, prevents attacks, monitors threats, and validates effectiveness—all without compromising the speed and reliability you expect from edge infrastructure.

On the roadmap: ML-powered guardrails that learn from attack patterns, cross-tenant threat intelligence sharing to detect coordinated campaigns, and automated remediation that adjusts rules based on red team findings. We're building the security layer that AI applications deserve. Explore the full security documentation to learn more.

— The NeuronEdge Team