How Delphi Security Maps to AIUC-1
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Delphi Security
6 min read
A new standard called AIUC-1 launched, the first certification specifically designed to prove that AI agents are safe enough for enterprise use. It was built by security leaders from Anthropic, MITRE, Stanford, and MIT.
AIUC-1 defines what safe AI looks like. See how Delphi Security delivers the runtime controls that map directly to its six requirement areas.
How Delphi Security Maps to AIUC-1
The New Standard for AI Agent Security
Delphi Security · March 15, 2026 · 8 min read
AI Agents Are Everywhere. Trust Shouldn't Be Optional.
Something big just happened in AI security.
A new standard called AIUC-1 launched — the first certification specifically designed to prove that AI agents are safe enough for enterprise use. It was built by security leaders from Anthropic, MITRE, Stanford, and MIT, and it's already being adopted by companies like UiPath, ElevenLabs, and Cisco.
Why does this matter? Because right now, when a company deploys an AI agent, there's no standardized way to prove it won't leak data, follow malicious instructions, or go off-script. AIUC-1 changes that.
And at Delphi Security, we've been building exactly what AIUC-1 requires — before the standard even existed.
What Is AIUC-1?
Think of AIUC-1 as the SOC 2 for AI agents.
SOC 2 tells customers that a company handles their data securely. AIUC-1 tells customers that a company's AI agents behave safely — they don't hallucinate dangerous outputs, they don't leak sensitive data, they don't follow injected instructions, and they stay within their boundaries.
To earn the certification, AI systems must pass 2,000+ technical evaluations including real adversarial attacks, jailbreak attempts, and data extraction tests. It's not a checkbox exercise — it's proof that your AI actually works safely under pressure.
SOC 2 — "We handle your data securely"
AIUC-1 — "Our AI agents behave safely"
How Delphi Maps to AIUC-1
AIUC-1 covers six areas of risk. Here's how Delphi addresses each one:
1. Prompt Injection Resistance
The risk: Attackers embed hidden instructions in user inputs or documents to hijack AI behavior.
How Delphi handles it: Every request flowing through our proxy is scanned by a 4-layer detection engine — regex patterns, heuristic analysis, machine learning classification, and AI-powered arbitration. We catch injection attempts in real time, before they reach your AI model.
2. Data Leakage Prevention
The risk: AI agents accidentally expose customer data, credentials, or internal information in their responses.
How Delphi handles it: Our AI DLP module scans both inputs and outputs with 15 built-in data classifiers — credit cards, social security numbers, API keys, medical records, and more. Sensitive data can be automatically redacted before it ever leaves your environment.
3. Tool Misuse & Boundary Enforcement
The risk: AI agents exceed their authorized scope — accessing systems, calling APIs, or taking actions they shouldn't.
How Delphi handles it: Our Agentic Shield and MCP Shield monitor every tool call an agent makes, tracking delegation chains, verifying scope boundaries, and flagging when an agent tries to do something it wasn't designed to do.
4. Hallucination & Harmful Output Detection
The risk: AI generates false information, unsafe code, or content that could harm your brand or customers.
How Delphi handles it: Our output scanner analyzes every LLM response for harmful content, credential leaks, malicious URLs, and unsafe code patterns — before the response reaches your users.
5. Operational Boundaries
The risk: No visibility into what AI agents are doing across your systems.
How Delphi handles it: Our Context-Aware Protection tracks session-level behavior, detecting conversation drift, cumulative threat patterns, and rapid-fire requests that suggest an agent is being manipulated.
6. Continuous Testing
The risk: AI security degrades over time as new attack techniques emerge.
How Delphi handles it: Our Vulnerability Scanner runs OWASP LLM Top 10 and MITRE ATLAS tests against your AI systems, giving you the same kind of adversarial testing that AIUC-1 certification requires — on demand.
AIUC-1 Requirements vs. Delphi Capabilities
Requirement | AIUC-1 Asks For | Delphi Delivers |
|---|---|---|
Prompt Injection | Resist direct & indirect injection attacks | 4-layer correlated detection engine scanning every request |
Data Leakage | Prevent exposure of sensitive data | Bidirectional DLP with 15+ classifiers and auto-redaction |
Tool Misuse | Enforce agent scope boundaries | Agentic Shield + MCP Shield with delegation chain tracking |
Harmful Output | Detect hallucinations and unsafe content | Output verification engine with harmful content classifiers |
Operational Boundaries | Monitor agent behavior across systems | Context-Aware session tracking and threat pattern detection |
Continuous Testing | Ongoing adversarial evaluation | On-demand OWASP LLM Top 10 & MITRE ATLAS scanning |
Why This Matters for Your Business
If you're building AI-powered products, your enterprise customers will start asking about AIUC-1 — just like they ask about SOC 2 today.
You don't have to wait for a certification audit to start protecting your AI systems. Delphi gives you the runtime security controls that AIUC-1 is designed to verify. When the auditors come knocking, you'll already have the evidence.
The bottom line: AIUC-1 defines what safe AI looks like. Delphi makes it happen.
Get AIUC-1 Ready with Delphi
Delphi Security's runtime AI protection maps directly to AIUC-1 requirements — deploy today and be audit-ready before the standard becomes mandatory.