Deploy AI with
Absolute Confidence.

The enterprise control layer for generative AI. Proactively intercept prompt injections, prevent data leaks, and enforce compliance across every AI interaction in real-time.

Explore Capabilities ↓

Autonomous Defender

Detects attack campaigns, mines attacker signatures, and contains hostile users automatically — propose, monitor, or contain by severity. Your SOC sleeps; it doesn't.

LIVE CONTAINMENT ACTIVE

Self-Learning Guardrail

Every reviewer decision retrains the guard on your real traffic — DPO fine-tuning with a hard no-regression gate. It gets sharper every day you use it.

Provable Security

A built-in cyber-range red-teams the guard with 34 mutating attack vectors. Break-rate telemetry, nightly CI runs, exportable evidence reports for auditors.

Comprehensive Threat Mitigation

Every capability, explicit and fully documented. No black boxes. Pure granular control over your AI infrastructure.

Self-Healing MITM Proxy

Infrastructure-level interception that enables Virtual Patching. Neutralize zero-day threats in milliseconds without app code changes.

Federated Threat Intelligence

A global Network Moat. Every blocked attack across our network strengthens your defense signature database instantly.

Proprietary Guard-Model (SLM)

A specialized Small Language Model fine-tuned for jailbreak forensics. Catch intent that standard models miss completely.

🤖 Autonomous Defense & Governance

Autonomous Defender Agent

Clusters repeated attack evidence, mines attacker signatures, and contains hostile principals automatically — propose, monitor, or contain by severity.

Self-Learning Loop (DPO)

Every reviewer verdict becomes a preference pair that retrains the guard policy on your real traffic — direct preference optimization, fully automatic.

Governance Approval Queue

Every block is explainable and overridable by a human. Approve or reject quarantined prompts from one console — the training data writes itself.

Model Registry & One-Click Rollback

Versioned models carry eval metrics and SHA-256-verified training data. A worse model can never promote; roll back instantly.

Cyber-Range Red Teaming

34 mutating attack vectors fire at your guard on schedule. Break-rate telemetry, nightly CI runs, exportable evidence reports for auditors.

Fail-Open / Fail-Closed Modes

Choose per deployment: stay available if the guard errors (fail-open), or block everything when protection is uncertain (fail-closed). Live-flippable without restart.

🛡️ Input Armor & Injection Mitigation

Prompt Injection Shield

State-of-the-art heuristic detection to neutralize zero-day injection attacks before they reach the model.

Multilingual Injection Defense

Corpus-trained detection across 6+ languages — Swahili, Tagalog, Spanish, Japanese, Yoruba, Hmong. Regex-only filters can't see these.

Jailbreak Detection

Blocks known adversarial framing techniques (e.g., 'DAN', 'Do Anything Now', system overrides).

Invisible Text Stripping

Detects and aggressively scrubs zero-width unicode characters used to bypass semantic filters.

High-Entropy Gibberish

Calculates Shannon entropy to block random string payloads intended for DoS or fuzzing.

Obfuscation Decoding

Automatically identifies and decodes Base64, Hex, and Rot13 to expose hidden adversarial prompts.

System Prompt Leak Def.

Prevents users from forcing the LLM to reveal its core instructions or internal configurations.

Language Enforcement

Restricts inputs to specified ASCII/English thresholds to prevent complex polyglot evasion attacks.

Malicious Payload Block

Detects and drops code signatures for Reverse Shells, XSS `<script>`, SQLi `UNION SELECT`, etc.

Rate Limiting

Hard API rate limits implemented natively to prevent automated scraping or brute force attempts.

Token Session Budgeting

Enforces an absolute maximum token spend per session to mitigate Economic Denial of Sustainability (EDoS).

⚖️ Compliance & Tone Rails

Financial Advice Filter

Blocks unregulated financial directives, stock picks, or guarantees of return via strict semantic rules.

Medical Advice Filter

Prevents the model from attempting to diagnose conditions, prescribe treatments, or act as a physician.

Competitor Brand Rules

Automatically flags or blocks any mention of specific competitor brands based on YAML configuration.

Abusive / Tone Guard

Checks for vulgarity, hostility, and offensive language using the `better_profanity` library.

Mental Health Crisis

Detects severe ideation and transparently injects empathy/helpline instructions into the system prompt.

🕵️ Data Loss Prevention (Redaction)

Email Redaction

Replaces all recognized email addresses with `[EMAIL_REDACTED]` before upstream processing.

Phone Number Redaction

Replaces domestic and international phone numbers with `[PHONE_REDACTED]`.

Credit Card Redaction

Detects standard 16-digit credit card patterns and replaces them with `[CREDIT_CARD_REDACTED]`.

SSN Redaction

Identifies Social Security Numbers and strips them entirely with a `[SSN_REDACTED]` tag.

API Key & Secret Drops

Scans for AWS, OpenAI, and standardized token formats. Drops the request entirely if found.

👁️ Multi-Modal Defense

Audio Scanning

Transcribes audio inputs and runs the full suite of text-based guardrails against the transcript.

Audio Deepfake Flagging

Analyzes audio files for synthetic generation artifacts indicating a cloned voice attack.

Image EXIF & GPS Strip

Hard-strips `GPSInfo` and privacy-violating EXIF metadata from all image payloads.

Image NSFW Heuristics

Pixel-level tone analysis blocks images containing high ratios of suspected inappropriate content.

Image OCR Injection

Extracts text from images to scan for prompt injections hidden in screenshots.

Video Stream Analysis

Extracts audio tracks from `.mp4` payloads for automated transcript scanning.

📤 Output Integrity

Canary Token Detection

Identifies leaked internal system IDs and drops the response to prevent prompt extraction.

Factual Hallucination

Flags responses that fall below a configured certainty threshold to prevent spread of false data.

Insecure Code Blocking

Prevents the LLM from outputting insecure patterns to users like `eval()`, `exec()`, or `os.system`.

Output Tone Verifier

Scans outgoing messages to ensure the LLM hasn't generated hostile, insulting, or unaligned text.

⚙️ Architecture & Telemetry

WebSocket SOC

Streams 100% real-time threat telemetry directly into a custom Vite + React cybersecurity dashboard.

SQLite Auditing

Natively logs every intercepted attack via SQLAlchemy for persistent audit trails.

Block Rate Alerting

System actively monitors the % of blocked requests and executes webhooks if thresholds are breached.

Local Semantic Defense

Executes `all - MiniLM - L6 - v2` locally on CPU/GPU to provide offline semantic similarity checks.

High-Speed Caching

Configurable TTLCache caches heavily requested embeddings to maintain sub-50ms latency overhead.

Per-Request Latency Header

Every response carries X-Guard-Latency-Ms — SLA monitoring from your own dashboards, no black-box latency.

Proxy Initialization

Seamlessly wraps existing LLM APIs without requiring complex internal SDK rewrites.

🚀 Enterprise Deployment & Integrations

Signed License Keys

Cryptographically signed GUARDRAIL- keys carry tier, seats, apps, and expiry — self-host licensing with runtime verification.

HA PostgreSQL Server

Enterprise clustering and pooling via `psycopg2` for mission-critical threat logging and metrics at scale.

Full SIEM Webhooks

Native routing to Datadog Logs, Splunk HEC, PagerDuty, and Slack for immediate SOC alerting.

Kubernetes Helm Chart

Turn-key `values.yaml` for HorizontalPodAutoscalers, Secrets, and LoadBalancers in 1 command.

Private Docker Registry

Multi-stage optimized images deployed straight to `ghcr.io` via GitHub Actions CI/CD.