Secure and Govern Your Autonomous AI Agents
Runtime threat detection across every AI agent, workflow, and model interaction.
98.0%
DETECTION ACCURACY
<100ms
END-TO-END LATENCY
350+
DETECTION RULES
8
COMPLIANCE FRAMEWORKS
THE PLATFORM
One platform. Three enforcement points.
AI Sentinel
Runtime proxy. Every LLM API call routed through the 5-layer detection cascade. One URL change: no code rewrites. Works with OpenAI, Anthropic, Google, Cohere, Mistral, and any OpenAI-compatible endpoint.
MCP Shield
Runtime protection for Model Context Protocol servers. Tool call interception, rug pull detection, and least-privilege enforcement. One line in mcp_config.json: every connected agent protected automatically.
The Category We Defined
xAIDR
Extended AI Detection and Response for multi-agent systems. Every inter-agent message scanned inline before it reaches the LLM. Fleet-level behavioral correlation surfaces coordinated attack chains across agents. Shadow agents discovered automatically. Per-agent trust scores degrade on anomalous behavior. Autonomous quarantine fires when threshold breaks. Microsoft AGT-integrated.
THE DETECTION ENGINE
Five layers. One verdict. Under 100ms.
WHY DELPHI
Security that works at machine speed.
Inline. Not proxied.
The sensor runs inside each agent process. Threats are caught before the LLM call is made, not after the response arrives.
Zero infrastructure changes.
One URL change or one npm install. No new servers, no firewall rules, no changes to your existing LLM provider.
Fleet-aware governance.
Sentinel Brain correlates behavior across every agent simultaneously. A coordinated attack across three agents becomes one alert, not three separate noise events.
Cryptographic agent identity.
Every agent carries an Ed25519 cryptographic identity via Microsoft AGT integration. Unregistered agents cannot impersonate trusted ones.
Compliance evidence, automated.
Every detection event maps to specific controls across 8 frameworks. OWASP, NIST, EU AI Act, ISO 42001. Evidence generated from runtime. No manual questionnaires.
Governance policies, per agent.
Define tool whitelists, access scopes, and behavioral guardrails per agent. Policies enforced locally by each sensor. Custom content policies block hate speech, violence, and regulated advice categories.
THE DIFFERENCE
Not a guardrail. Not a policy engine.
Traditional tools watch for known patterns. Delphi understands intent, correlates behavior across agents, and responds autonomously. Runtime security built for systems that operate without humans in the loop.
Traditional AI security tools
Single-agent, input-only scanning
Static rules and policy configs
No visibility into agent-to-agent traffic
Compliance reports built manually
Delphi Security
Fleet-level inline scanning across all agents
Intent decomposition and behavioral correlation
Full A2A message inspection and trust scoring
Runtime evidence mapped to 8 frameworks
PRICING
Runtime security for every stage.
Start free. Scale when you need to.
Developer
AI runtime security, observability, and governance for your LLM traffic. A drop-in proxy you connect by changing one base URL.
Five-layer detection cascade: regex, behavioral heuristics, ML, and LLM arbitration
Prompt injection, jailbreak, and multi-turn conversational drift detection
Bidirectional DLP: PII, secrets, and credentials redacted before they leave your system
MCP tool-call interception with OWASP LLM and NIST evidence reports
Usage and cost monitoring with a plain-language AI activity overview: every request, threat, and metric in one live dashboard
Drop-in proxy or SDK, provider-agnostic. Monitor mode by default, safe in production from day one. 100,000 API calls per month.
Enterprise
Advanced runtime security with governance, compliance, and full customization for enterprise AI deployments at scale.
Custom
Everything in Developer, across your entire agent fleet
xAIDR in-process detection: every inter-agent message scanned inline in under 20ms
Fleet-wide correlation: coordinated multi-agent attack chains surfaced as one alert
Shadow agent discovery with trust-based autonomous quarantine
Compliance evidence across 8 frameworks: OWASP, NIST, EU AI Act, and ISO 42001
Intent-based governance, cryptographic agent identity (Ed25519 and DID), per-agent tool whitelisting. Self-hosted deployment, dedicated CSM, 4hr SLA.
FAQ
Common questions.
How does Delphi work with my existing LLM provider?
One URL change points your existing API calls through the Delphi proxy. No provider changes, no code rewrites. Works with OpenAI, Anthropic, Google, Cohere, Mistral, and any OpenAI-compatible endpoint.
How long does deployment take?
Under 10 minutes for the proxy integration. The npm sensor install takes under 5 minutes. Most teams are running in production the same day.
What is xAIDR and do I need it?
xAIDR is Delphi's fleet security layer for multi-agent systems. If you run a single LLM application, AI Sentinel is sufficient. If your agents communicate with other agents, xAIDR adds inline A2A scanning, trust scoring, and shadow agent discovery.
What compliance frameworks does Delphi map to?
OWASP LLM Top 10, OWASP Agentic Top 10, OWASP MCP Top 10, NIST AI RMF, EU AI Act, ISO 42001, AIUC-1, and AWARE. Evidence is generated automatically from runtime detection data. No manual questionnaires.
Is there a free trial?
Yes. 14 days, full access, no credit card required. The free tier includes 15,000 API calls per month with no time limit after the trial ends.
RESEARCH
From the lab.
Technical research, benchmarks, and product updates from the Delphi Security team.
WHITEPAPER
xAIDR: Extended AI Detection and Response for Multi-Agent Runtime Security
Whitepaper introducing xAIDR, a new category of AI security. 94.5% accuracy with 98.4% precision on a 500-prompt agent-to-agent test suite.
BENCHMARK
94.5% Accuracy on 500 Adversarial Agentic AI Attacks
How Delphi AI Sentinel achieved 94.5% accuracy and 98.4% precision on a 500-prompt adversarial test suite targeting agentic AI tool calls, MCP poisoning, and cross-agent attacks.
THE PYTHIA CHALLENGE
Can you jailbreak Delphi?
10 levels. Escalating difficulty. Our proprietary adversarial challenge lets you test the limits of the detection cascade directly. Beat all 10 levels and we will have a conversation.