Do You Really Know What Your AI Is Telling Your Customers Right Now?
Even after that last change your team made? How about every fix, every update, every prompt revision? Are you sure nothing broke? Dynamic Frontier exists to make sure you find out before your customers do.
Every CTO With AI in Production Is Quietly Terrified.
Not of hallucinations as an abstract concept. Of the specific, concrete moment when their AI does something it absolutely should not do — and nobody catches it until the damage is done.
AI agents leak fragments of their hidden system prompts to customers. They schedule appointments at businesses that are closed. They ignore legally required escalation procedures. They make promises your company never authorized. They silently drift from the behavior you designed, one interaction at a time, until what's running in production barely resembles what you intended.
And the only way most teams discover these failures? Someone reads the logs. Manually. At midnight. Hoping they catch what the system missed.
This is not governance. This is not scalable. This is not how AI gets deployed at enterprise scale.
The Pattern Is the Same Everywhere
Silent Failures
AI agents make decisions that violate business rules, legal obligations, or safety requirements — and no error is thrown. No alert fires. The logs show a “successful” interaction.
Manual Detection
The only way to find these failures is a human reading logs. At 50 conversations a day, you can manage. At 5,000, you're spot-checking. At 50,000, you're flying blind.
Regression Whack-a-Mole
Every fix risks breaking something else. A prompt change that solves one compliance issue introduces three new behavioral problems. There's no CI/CD for AI behavior — no way to regression-test before deploying.
Compliance Time Bombs
Policies defined months ago get silently eroded by dozens of prompt edits. Nobody verifies that legal requirements are still being honored until an audit — or an incident.
We Didn't Read About This Problem. We Lived It.
Dynamic Frontier was born from a real crisis at a real company.
A telehealth startup had a contractual obligation to screen for medication side effects during every patient interaction — a rubric of over 100 categorized side effects, with specific escalation procedures for severe symptoms. Their AI cancellation agent ignored all of it. A patient could report chest pain three times, and the bot would just process the refund. No escalation. No API call. No follow-up.
Our founder identified the failure and built the fix — a RAG-powered guardrail system that cross-referenced every conversation against the side-effect rubric in real time. The company then brought him on full-time as Software Engineering Manager to lead all AI initiatives across the organization, managing a 17-member distributed engineering team.
What followed went far beyond fixing one chatbot. He architected and brought to production a HIPAA-compliant, agentic virtual nutritionist using LangChain and retrieval-augmented generation — a system that contributed to a 38% improvement in user weight-loss outcomes. He authored the company's first AI Governance Policy and formed a cross-functional AI Governance Committee. He worked directly with Google engineers to migrate AI workloads from OpenAI to Vertex AI, ensuring HIPAA compliance within GCP. The platform achieved HITRUST certification.
That experience is the foundation Dynamic Frontier is built on. The lesson was clear: AI safety isn't a feature you bolt on. It's an operational discipline that requires dedicated infrastructure — detection, policy enforcement, regression testing, and continuous monitoring. That's exactly what we're now building for every company with AI in production.
This Isn't Another Observability Tool. It's a New Category.
Most AI tools focus on tracing, evaluation, and token costs. That's important infrastructure — but it's like having a speedometer and fuel gauge and calling it a safety system. You know how fast you're going. You have no idea whether you're about to drive off a cliff.
Dynamic Frontier focuses on behavioral safety — not “did the model respond?” but “did the model respond correctly?” Not “how many tokens?” but “did it follow the compliance requirements your legal team spent six months defining?”
Think of it this way: McAfee built the infrastructure to detect and defend against cybersecurity threats. Datadog built the infrastructure to understand and manage complex distributed systems. Dynamic Frontier is building that same kind of dedicated infrastructure for AI behavioral safety — detection, policy enforcement, regression testing, remediation, and compliance-grade audit trails.
Upload. Scan. Fix.
Safe is an AI safety scanner that analyzes your system prompts and interaction logs for behavioral failures, compliance violations, and alignment drift — and tells you exactly what to fix.
Upload
Paste or upload your system prompts, interaction logs (JSON, CSV, or plain text), and optionally your business rules or compliance policies. No integration required. No access to your systems. Zero risk to your production environment.
Scan
Safe's analysis pipeline runs heuristic pattern matching, LLM-as-judge evaluation, and recommendation generation. Results appear in 30–90 seconds.
Report
An interactive dashboard — not a PDF — showing an overall risk rating, individual findings with severity levels, what happened, where, why it matters, and a specific recommended fix for each issue. Trend views across multiple scans show whether things are getting better or worse.
What Safe Scans For
Safety Failures
AI ignores emergency triggers, provides dangerous advice, or takes actions that could cause real-world harm.
Compliance Violations
AI fails to follow required legal or regulatory procedures (HIPAA, TCPA, GDPR), misses opt-out requests, or makes unauthorized promises.
Alignment Drift
AI behavior deviates from stated prompt instructions. Tone shifts. Constraints get ignored. The AI you deployed last month isn't the AI running today.
Information Integrity
System prompt leaks, hallucinated facts, fabricated citations, incorrect pricing or availability claims.
Prompt Quality
Ambiguous instructions, missing boundary conditions, conflicting directives, structural weaknesses that invite manipulation.
Regression Detection
Did your latest prompt change introduce new issues? Did problems you fixed last month come back?
Powered by Research. Tailored to Your System.
Most scanners check a static list of rules. Safe is different.
Dynamic Frontier conducts original AI safety research — including our AI Persuasion Dynamics (AIPD) program, which applies the science of human persuasion to AI safety testing. Every failure pattern we identify through research becomes a detection signature Safe runs automatically.
And Safe doesn't just run generic checks. When you provide your prompts, your logs, and your policies, Safe builds an increasingly deep understanding of your specific AI system — your industry context, your compliance requirements, your behavioral patterns. The more you use it, the more dialed in it gets to your company's needs and the better it becomes at catching the drift, regressions, and edge cases that matter most for your deployment.
The result is a scanner that gets more useful every time you use it — not because it's collecting your data for someone else's benefit, but because it's building a sharper picture of your system and the specific ways it could fail.
Free Forever. No Asterisk.
We built Safe's free tier to be genuinely useful — not a crippled demo that exists to frustrate you into upgrading.
- Up to 3 projects — persistent, yours forever
- 3 scans per month — enough to evaluate your most critical systems
- Full dashboard access with interactive reports and recommendations
- Demo project with sample data so you can see what Safe does before uploading anything
- Prompt improvement suggestions on every scan
- No credit card required. No trial period. No expiration.
We want you to experience what automated AI safety analysis actually looks like. If Safe finds something valuable — and it will — you'll know exactly why the paid tiers exist.
Try Safe Free →Need Hands-On Help? We Do That Too.
Not every AI safety problem can be solved by a scanner. Some systems need expert analysis — someone who's built HIPAA-compliant AI in production, who understands the gap between what your AI is supposed to do and what it's actually doing, and who can deliver a remediation plan your team can execute.
Our AI Safety Audit is a structured engagement: you provide your logs and prompts, we run Safe's analysis plus expert review, and we deliver a prioritized findings report with specific fixes and test cases for ongoing validation. No access to your production systems required.
Learn About AI Safety Audits →AI Safety Audit
Structured analysis of your AI systems. We run Safe's automated pipeline plus expert review and deliver a prioritized findings report with specific fixes.
Bespoke AI Development
AI built right from the start — with safety, alignment, and compliance baked in from day one, not bolted on after the fact.
Ongoing Retainer
Monthly re-scans, priority support, and continuous monitoring as your AI systems evolve.
No CTO Should Have to Read Logs at Midnight.
You can only ship AI at scale if you trust it.