Build AI Agents
You Can Actually Ship
Everyone's building AI agents. Few are shipping them.
The gap? Risks you can't assess with traditional tools.
Start with visibility from line one. By the time you're ready to ship, you'll have the confidence (and the evidence) to actually do it.
Why Teams Are Afraid to Ship
AI agents aren't like traditional software. They're unpredictable. Teams know there are risks they can't see - and that fear blocks deployment.
Security Risks
Prompt injection, data leaks, unauthorized actions
Product Risks
Wrong outputs, bad user experiences, hallucinations
Business Risks
Reputation damage, customer churn, legal exposure
Operational Risks
Cost spirals, system failures, unpredictable load
Traditional tools don't understand AI agent behavior. Static analysis misses runtime risks. Testing can't cover non-deterministic outputs.
We make the invisible visible.
See What Could Go Wrong - Before It Does
Purpose-built detection for AI agent risks. Correlated with runtime behavior.
+ 40 more detection patterns across 6 frameworks
Intelligence, Not Just Scanning
Point tools find issues. We provide understanding. The insights you gain here become the foundation for behavioral profiling, compliance evidence, and production monitoring.
Code Meets Runtime
We're the only platform that correlates static code findings with actual runtime behavior. See which risks are theoretical vs. actively exploited. Prioritize what matters.
Full-Stack Intelligence
Not just scanning - understanding. We analyze your agent's code, behavior, tool usage, and data flow as one connected system. Context that isolated tools can't provide.
Behavioral Foundation
Every insight you gain here becomes the baseline for production. The risks you identify, the patterns you establish - they power monitoring, compliance, and governance downstream.
Clear Go/No-Go Decision
Give every stakeholder - engineering, security, compliance - the evidence they need. A single source of truth that answers "is this agent safe to ship?" with data, not opinions.
One Prompt to Get Started
Just tell your coding agent to install it. Start seeing risks immediately.
"Install Agent Inspector from cylestio.com/install"uvx agent-inspector openai"Analyze this agent for risks"Just paste this into your AI coding assistant:
"Install Agent Inspector from cylestio.com/install"Evidence for Stakeholders
Every finding mapped to industry security frameworks. By the time you're ready to ship, you have the evidence your CISO, compliance team, and customers need.
Developer Intelligence, Too
Risk visibility is the core. But while we're analyzing your agents, we capture everything you need to build better, faster, cheaper.
Cost Intelligence
Track token usage across models and prompts. Identify expensive patterns, optimize context windows, project costs before they spiral.
Performance Profiling
Measure latency, throughput, and response quality. Find bottlenecks in your agent workflows and optimize for real-world conditions.
Session Replay
Something went wrong? See exactly what happened - every tool call, every response, every decision point. Debug in minutes, not hours.
Time Machine
Compare sessions side-by-side. Test different prompts, compare models, detect regressions. Data-driven prompt engineering.
Find It. Fix It.
Ship It.
Not just findings - your AI coding agent applies our security-tested remediation patterns directly. Review the fix, approve it, move on.
- Context-aware patches that match your codebase style
- Explanations of why it's vulnerable and how the fix works
- Runtime-correlated priority: fix exploited issues first
def handle_message(user_input):
prompt = f"User says: {user_input}"
response = client.chat.completions.create(
model="gpt-4",
messages=[{"role": "user", "content": prompt}]
)def handle_message(user_input):
safe_input = sanitize_input(user_input, max_length=1000)
messages = [
{"role": "system", "content": "You are helpful."},
{"role": "user", "content": safe_input}
]
response = client.chat.completions.create(
model="gpt-4", messages=messages
)Stop Being Blocked. Start Shipping.
Make AI agent risks visible from day one. By the time you're ready to deploy, you'll have the confidence - and evidence - to do it.