Catch what others miss.
Fix what breaks.
Automatically detect anomalies in every conversation. Enforce live guardrails, run adversarial red team tests, and apply AI-generated fix proposals — all from one resilient safety engine.
Find blind spots
12 automatic categories catch hallucinations, PII leaks, missed escalations, stale memory, and more — before users report them.
Protect every response
Guardrails evaluate every bot output in real time. Block, warn, rewrite, or escalate based on configurable rules with sub-100ms latency.
Close the loop
AI-generated fix proposals include before/after diffs, confidence scores, and regression tests. Review once, apply everywhere.
How it works
Detect. Guard. Probe. Resolve.
Four stages that turn every anomaly into a fixed, tested, and verified improvement — before it ever reaches a real user.
The edge case pipeline
detect → guard → probe → fixDetect
Automatic anomaly detection from traces
Guard
Live safety filters on every response
Probe
Adversarial stress testing at scale
Resolve
AI-generated fixes, reviewed by you
Detect
Automatic anomaly detection from traces
Guard
Live safety filters on every response
Probe
Adversarial stress testing at scale
Resolve
AI-generated fixes, reviewed by you
Detect
Automatic anomaly detection from traces
Rylvo scans every conversation trace in real time to spot anomalies. From hallucinations to PII leaks, missed escalations to stale memory — 12 built-in categories catch what your logs alone never would.
How it works
- 12 automatic edge case categories with severity scoring
- Trace mining, red team results, and manual reports as sources
- Clustering by semantic embedding to find related failures
Guard
Live safety filters on every response
Guardrails evaluate every bot response before it reaches the user. Configure input filters, output filters, fact checks, PII detection, tone checks, loop breakers, and more — each with its own action: block, warn, rewrite, escalate, or log.
How it works
- 10 guardrail types with customizable conditions and thresholds
- 5 actions per guardrail: block, warn, rewrite, escalate, log
- Priority-based evaluation order with fallback messages
Probe
Adversarial stress testing at scale
Run automated red team campaigns against your bots. Test policy boundaries, hallucination resistance, tool confusion, escalation thresholds, prompt injection, and context overflow — before attackers do.
How it works
- 6 built-in adversarial strategies with configurable intensity
- Configurable tests-per-strategy, concurrency, and timeout
- Automatically creates edge cases from every failed test
Resolve
AI-generated fixes, reviewed by you
When an edge case is detected, the AI generates a fix proposal. It may suggest a new guardrail, a prompt edit, a threshold adjustment, or an escalation rule. Review the diff, check the estimated impact, and apply with one click.
How it works
- 6 fix types: guardrail add, prompt edit, threshold adjust, escalation rule, workflow expand, custom
- Before/after diffs with confidence scores and impact ratings
- Built-in regression tests to verify fixes don't break existing behavior
Edge case category radar
12 categoriesDetect Core
Hallucination
Response not grounded in knowledge base evidence
Policy Violation
Broke a company or workflow policy rule
Missed Escalation
Should have escalated to human but did not
Wrong Tool
Selected an incorrect tool for the task
Missing Tool
Should have called a tool but skipped it
Wrong Stage
Misidentified the current workflow stage
Stale Memory
Used outdated session facts in response
Unknown Intent
User intent not covered by any workflow
Tone Violation
Response tone does not match brand guidelines
PII Leak
Exposed sensitive personal information
Loop Detected
Bot stuck in repetitive conversation loop
Custom
User-defined edge case category
Guardrail type matrix
10 types. 5 actions. Full coverage.
Input Filter
Filters or transforms user input before processing
Output Filter
Validates or transforms bot response before delivery
Fact Check
Verifies response claims against knowledge base
Policy Check
Ensures response complies with company policies
PII Detection
Detects and redacts personal identifiable information
Tone Check
Validates response tone matches brand guidelines
Loop Breaker
Detects and breaks repetitive conversation patterns
Escalation Override
Forces escalation when specific conditions are met
Tool Gate
Controls which tools can be called in specific contexts
Custom
User-defined guardrail logic
Actions
Block
Prevent response, return fallback message
Warn
Flag for review but allow response through
Rewrite
Auto-modify response to comply with rule
Escalate
Trigger human handoff immediately
Log Only
Record occurrence for monitoring, no action taken
Red team strategy orbit
6 strategiesRed Team
Policy Probe
Tests policy boundary conditions with edge-case inputs
Hallucination Bait
Asks questions with no KB answer to test grounding
Tool Confusion
Crafts inputs that could trigger wrong tool selection
Escalation Boundary
Tests the edge of escalation thresholds
Injection Attempt
Prompt injection and jailbreak attempts
Context Overflow
Long conversations that stress memory and context limits
Fix proposal types
AI-generated remediation with confidence scores.
Guardrail Add
Create a new guardrail to prevent recurrence
Prompt Edit
Modify the prompt with before/after diff
Threshold Adjust
Tune detection or escalation thresholds
Escalation Rule
Add a new escalation condition
Workflow Expand
Expand workflow to cover the missing case
Custom
User-defined remediation steps
Answers
What teams usually ask
What kinds of edge cases does Rylvo detect automatically?
Rylvo detects 12 categories: hallucination, policy violation, missed escalation, wrong tool, missing tool call, wrong stage, stale memory, unknown intent, tone violation, PII leak, conversation loops, and custom categories you define yourself.
How do guardrails work in real time?
Guardrails evaluate every bot response against configurable rules before it reaches the user. They can block, warn, rewrite, escalate, or log based on conditions you define — input filters, output filters, fact checks, PII detection, tone checks, and more.
What is a red team run?
A red team run sends adversarial test inputs to your bot to stress-test its boundaries. Rylvo includes 6 built-in strategies: policy probe, hallucination bait, tool confusion, escalation boundary, injection attempt, and context overflow.
How do fix proposals work?
When an edge case is detected, the AI generates a fix proposal that may include a new guardrail, a prompt edit, a threshold adjustment, or an escalation rule. You review the proposal, see the diff, and apply or reject it with one click.
Can I create custom edge case categories?
Yes. In addition to the 11 built-in categories, you can define custom categories with your own labels, colors, and descriptions to track domain-specific issues.
Do guardrails slow down responses?
Guardrails are designed for sub-100ms evaluation. They run in parallel where possible and are optimized to minimize latency impact while maximizing safety coverage.
Build resilience into every bot
Safety is not a feature. It is the foundation.
Start detecting edge cases and enforcing guardrails in minutes. No scripting, no setup — just connect your bot and let the engine run.