Safe
Your AI systems are making decisions right now — decisions with real consequences for real people. Safe analyzes your prompts and interaction logs for behavioral failures, compliance violations, and alignment drift, and tells you exactly what to fix. Not next quarter. In 30 seconds.
The Problem With AI Isn't That It Fails. It's That It Fails Silently.
When traditional software breaks, you get an error. A stack trace. A failed test. Something tells you what went wrong.
When AI breaks, nothing happens. The system keeps running. The logs show successful interactions. The metrics look fine. But somewhere in those “successful” interactions, your AI just told a patient to ignore chest pain, scheduled a customer for an appointment at a closed business, leaked part of its system prompt, or made a promise your company never authorized.
These aren't edge cases. They're the daily reality of operating AI at scale. And the only way most teams discover them is a human reading logs — manually, one by one, hoping they catch the one interaction out of thousands that went sideways.
Safe exists because that approach doesn't work. It never did. And as AI systems get more complex, more autonomous, and more deeply integrated into your operations, the gap between what your AI is doing and what you think it's doing only gets wider.
What Safe Does
Safe is a web application where you upload your AI system prompts and interaction logs, run an automated safety and alignment analysis, and receive a structured report of findings with specific recommendations for fixes.
No integration required. No access to your production systems. No SDK to install. No code changes. You upload, Safe scans, and you get answers — typically in 30 to 90 seconds.
The analysis isn't a generic checklist. Safe applies research-driven detection signatures built from real-world AI failure patterns — including insights from our AI Persuasion Dynamics (AIPD) research program — to your specific system context. The more you use it, the more dialed in it gets to your company's needs, your compliance requirements, and the particular risks your AI deployment faces.
Upload. Scan. Fix.
Step 1 — Upload
Paste or upload your system prompts, interaction logs (JSON, CSV, or plain text), and optionally your business rules, compliance policies, or behavioral specifications. Safe accepts whatever you have — you don't need to reformat your data or build an export pipeline.
This is deliberately designed to be zero-friction. No integration means no risk to your production environment. No access to your systems means no security review required. You can run your first scan five minutes from now with nothing more than a copy-paste.
Step 2 — Scan
Safe's analysis pipeline runs three stages:
- Heuristic Analysis — Pattern matching for known failure signatures, structural analysis of your prompts, and log parsing for anomalies. This catches the common, well-documented failure modes: prompt leaks, missing escalation triggers, hallucinated facts, and structural prompt weaknesses.
- LLM-as-Judge Evaluation — A separate LLM reviews flagged interactions against your stated policies and prompt instructions. This goes beyond pattern matching to evaluate whether your AI actually followed its instructions and handled edge cases correctly. Did it honor the constraints you set? Did it respond appropriately to ambiguous inputs? Did it maintain consistent behavior across the conversation?
- Recommendation Generation — For each finding, Safe generates a specific, actionable fix. Not “improve your prompt” — a concrete recommendation for what to change, why, and what the expected impact will be. For prompt issues, Safe generates an improved version you can compare against your original.
Step 3 — Report
An interactive dashboard — not a static PDF — showing everything you need to act:
- Overall risk rating (Critical / High / Medium / Low) so you know where you stand at a glance
- Individual findings sortable and filterable by severity and category, each linked to the specific log entry or prompt section that triggered it
- Root cause context for each finding — what happened, where in the interaction it happened, why it matters, and what the downstream risk is
- Specific recommended fixes for every finding, including improved prompt language where applicable
- Prompt quality analysis — structural issues, missing guardrails, ambiguous instructions, conflicting directives, and suggested improvements
- Trend view across multiple scans — are things getting better or worse? Did your latest prompt change introduce new issues or resolve old ones?
The Six Categories
Safe doesn't just look for one type of problem. AI systems fail in diverse, often surprising ways, and a scanner that only checks for hallucinations or only checks for prompt injection misses most of the real-world risk surface. Safe scans across six categories that together cover the full spectrum of AI behavioral failures we've identified through research and hands-on audit work.
Safety Failures
AI ignores emergency or escalation triggers. AI provides harmful, dangerous, or medically or legally risky advice. AI takes actions that could cause real-world harm to users, customers, or patients. These are the failures where the stakes are highest and the detection gap is widest.
Compliance Violations
AI fails to follow required legal or regulatory procedures — HIPAA, TCPA, GDPR, or industry-specific requirements. AI misses opt-out requests. AI makes unauthorized promises, commitments, or claims that create liability.
Alignment Drift
AI behavior deviates from your stated prompt instructions. Tone shifts. Personality changes. Constraints get ignored or eroded over time. The AI you deployed last month isn't the AI running today — and the drift happened so gradually that nobody noticed.
Information Integrity
System prompt content or internal instructions leak to end users. AI hallucinates facts, features, prices, or availability. AI fabricates citations, sources, or references. These failures erode user trust and can create legal liability.
Prompt Quality
Ambiguous instructions that invite misinterpretation. Missing boundary conditions that leave dangerous gaps. Conflicting directives within the same prompt. Missing role definitions or behavioral constraints that create the conditions for failures to emerge under pressure.
Regression Detection
Did a recent prompt change introduce new issues? Did problems you fixed in earlier scans reappear? Regression detection turns Safe from a one-time scanner into an ongoing safety practice — essential every time you deploy a change.
Built From Real Failures, Not Synthetic Benchmarks
Safe's detection capabilities aren't built from academic datasets or theoretical failure taxonomies. They're built from real experience with real AI failures in real production environments.
Our founder identified a critical compliance failure at a telehealth startup where the AI cancellation agent was silently ignoring patient-reported side effects — including severe symptoms that required immediate ER escalation under the company's contractual obligations. He built the fix, then went on to lead all AI initiatives at the company, architect a HIPAA-compliant virtual nutritionist that contributed to a 38% improvement in patient outcomes, and author the company's first AI Governance Policy.
Every failure pattern Safe checks for has a story like this behind it. Not a hypothetical scenario from a research paper — a real moment when a real AI system did something it shouldn't have, and a real person had to figure out why and fix it.
Free Forever. Genuinely Useful. No Tricks.
We didn't build a crippled demo and call it a free tier. Safe Free is designed to deliver real value — enough that you understand exactly what automated AI safety analysis can do for your systems, and enough that you keep coming back.
- Up to 3 projects — persistent, yours forever, no expiration
- 3 scans per month — enough to evaluate your most critical systems and track changes over time
- Full dashboard access with interactive reports and recommendations on every scan
- Demo project with sample data so you can explore Safe's capabilities before uploading anything of your own
- Prompt improvement suggestions — every scan includes actionable recommendations for strengthening your prompts
- No credit card required. No trial period. No “free for 14 days.” No surprise invoices.
What's Coming Next (And What's Not Here Yet)
We believe in being honest about where the product is today and where it's going. Safe v0.1 is a powerful scanning and analysis tool. It is not yet a real-time monitoring platform or a CI/CD integration. Here's what's on the roadmap but not in the current release:
- Real-time monitoring or streaming ingestion
- CI/CD integration or automated regression test runner
- Policy engine or automated enforcement
- Multi-agent consistency analysis
- Slack/Teams alert routing
- Compliance-grade audit trails
- On-premises deployment
These capabilities are coming. If any of them are critical for your needs right now, our AI Safety Audit and consulting services can bridge the gap — we do manually and with expert judgment what Safe will eventually do automatically.
Talk to us about your needs →No CTO Should Have to Read Logs at Midnight.
See what Safe finds in your system. Five minutes. Zero risk. Free.