One Platform. Built For How Your Team Actually Works.
Same governance layer underneath — a different lens for every team that touches it. Nine teams, one control plane, no bolted-on point tools.
You Don't Know What AI Your Employees Are Actually Using.
Shadow AI spreads through browser extensions, IDE plugins, SaaS connectors, and personal API keys — long before IT signs off on any of it. RuntimeAI finds it in minutes, not months, and gives you one registry to manage every agent and non-human identity from that point forward.
Scans cloud, IDE, browser, and endpoint surfaces to surface AI tools nobody asked IT about — typically 3–10x more than expected.
Every AI agent and non-human identity tracked in a single inventory, with owner, scope, and credential lineage attached.
New agents register automatically as they're deployed — no manual spreadsheet, no quarterly audit scramble.
Flags stale service accounts, orphaned API keys, and over-scoped agent permissions before they become an incident.
Scans VS Code, Cursor, and JetBrains AI plugins for credential-exfil behavior and blocks plaintext key theft at egress — before it becomes shadow tooling IT never approved.
Every agent published to the marketplace carries a signed Software Bill of Materials, so IT knows every dependency before it's deployed — no supply-chain surprises.
A Red Team That Updates Itself From This Week's Real AI Attacks.
New agentic attack patterns surface weekly — prompt injection chains, OAuth pivots, supply-chain compromised MCP servers. RuntimeAI's scenario catalog updates itself from real incidents, so your defenses aren't stuck testing last quarter's threat model.
Autonomous scenario generation pulls from real-world AI incidents so your red-team coverage never goes stale.
Halt a compromised or misbehaving agent in under 50 milliseconds, with full forensic capture at the moment of the trigger.
Every enforcement point — network, identity, data, behavior — rolls up into a single risk score your SOC can act on.
Pre-built, automated playbooks for the attack classes agents actually face — no ad-hoc runbook authoring under pressure.
Every AI/MCP integration routes through governed API routing and credential management — closing the shadow-integration gap instead of trusting each connector individually.
Discovery, Drift Engine, Flow Enforcer, WAF, Policy Manager, Bot-CA, Data Proxy, Cost Ledger, Identity DNS, and more — all behind one Control Plane API.
Fast, Accurate Evidence — From Readiness To Report.
Self-assessment doesn't hold up under regulator scrutiny. RuntimeAI generates compliance evidence from live telemetry — what agents actually did, not what a spreadsheet says they should have done — and chains every record so it can't be altered after the fact.
SOC 2, FedRAMP, HIPAA, and dozens more monitored continuously — not re-derived from scratch every audit cycle.
Every compliance claim traces back to actual agent behavior captured in real time, not a point-in-time self-assessment.
Tamper-evident record of every governed action — provable to an examiner that nothing was edited after the fact.
Pull a framework-specific evidence package in minutes instead of weeks of manual collection before an audit.
Discovers every cryptographic algorithm across your infrastructure, scores post-quantum readiness, and auto-generates a Crypto Bill of Materials.
Every agent gets an ML-DSA-87 quantum-safe credential at registration plus a 0–100 trust score attached to every transaction — no identity, no execution.
Codify Identity, Policy, and Governance Into One Control Plane.
Governance retrofitted after launch is always more expensive than governance built in. RuntimeAI gives engineering teams a control plane with identity, policy, and orchestration wired in from day one — so shipping an agent doesn't mean shipping a liability.
Connect existing tools and MCP servers through a 6-layer security model without hand-rolling auth for each one.
Parallel and looped agent workflows, governed the same way as a single agent — no separate policy surface to maintain.
New agents inherit governance by default at registration — no manual policy authoring before they can run.
Test policy changes against real traffic before they go live, so a bad rule doesn't take down production agents.
Drops in as a governed substitute for common LLM orchestration stacks (LiteLLM, LangChain, Langfuse-style setups) — governance doesn't require re-architecting the app layer.
Cross-service calls are wrapped in circuit breakers, and long-running jobs return an immediate job ID with a poll endpoint — engineers inherit the pattern instead of reinventing it per service.
One Governance Layer. Four Executive Views.
The CISO wants risk posture, the CFO wants spend, the CTO wants fleet health, the CRO wants exposure. RuntimeAI runs all four views off the same underlying telemetry — so the numbers always agree in the boardroom, and nobody's presenting invented ROI figures.
Risk, spend, and fleet posture summarized for a board update in minutes, not a week of deck-building.
CISO, CFO, CTO, and CRO each get the lens that matters to them — same source of truth underneath.
Every number traces to a real telemetry source — RuntimeAI states capability plainly instead of manufacturing an ROI figure.
Security, finance, and engineering stop arguing about whose numbers are right because there's only one dataset.
RuntimeAI, the Agentic Enablement Platform, PQData, and RuntimeCRM all sit on the same Control Plane and Identity Fabric — not five disconnected stacks under one invoice.
The same automated evidence collection and immutable audit trail compliance teams use feeds directly into the reporting layer CxOs pull board-level views from.
Replace Your CRM, Sequencer, and SDR With One AI-Native Revenue Platform.
RuntimeCRM runs 9 live autonomous agents across the revenue funnel — prospecting to close — governed by the same control plane security teams already trust. It's a separate product built on the RuntimeAI stack, not a bolted-on chatbot.
From prospect research to outreach sequencing to close — live agents cover the funnel end to end.
Every RuntimeCRM agent runs on the same governance stack as the rest of the platform — no separate trust boundary.
One platform instead of a CRM, a sequencer, and a separate SDR tool stitched together with Zapier.
Contact name, email, and phone are stored as PII Shield tokens and detokenized just-in-time to send — real contact data never touches an LLM call in plaintext.
Each RuntimeCRM agent is issued its own credential via Bot-CA, and Memory Vault persists prior conversations and prospect research per contact — context without re-scraping.
Every agent trigger returns immediately with a job ID and a poll endpoint — a long-running outreach or research job never ties up your request.
Onboard An Agent In 5 Minutes. Governed From The Start.
Most governance tooling is a retrofit tax — bolted on after an agent is already in production. RuntimeAI gives builders pre-governed scaffolding from the first line of code, so shipping fast and shipping safe stop being a trade-off.
Start from templates that already carry identity, policy, and audit wiring — no retrofit once you're in production.
Register a custom MCP server and it inherits the same governance model as every built-in integration.
Dry-run new agent behavior against real policy before it ever touches production traffic.
Add quantum-safe encryption to an application via SDKs, REST APIs, and CLIs across any stack — no hand-rolled crypto.
Publish an agent to the catalog with policy templates auto-assigned by category and risk — it inherits governance the moment it's listed, not after.
Move existing key management off legacy KMS onto PQC-native secrets management without a manual re-key project.
One Platform, Built For How Regulators Actually Audit AI.
Financial services, healthcare, telecom, and other regulated verticals share the same underlying need — continuous, evidence-backed compliance — with different framework emphasis. RuntimeAI runs one platform underneath and tunes the framework coverage per vertical.
Financial services, healthcare, telecom, and GRC each get the framework emphasis that matches how their regulators audit.
Continuous monitoring across the frameworks that actually apply to a regulated deployment — not a generic checklist.
Adding a new regulated vertical doesn't mean standing up a new governance stack — it's the same control plane, retuned.
Every post-quantum security product supports fully air-gapped deployment, matching how regulated and defense environments actually run infrastructure.
Generates compliance reports for NIST, CNSA 2.0, FedRAMP, SOC 2, HIPAA, PCI DSS, and GDPR — with post-quantum-readiness evidence attached automatically.
Tooling to migrate ahead of the live NIST/CISA/NSA post-quantum mandates regulated industries are already being held to.
Turn AI-Specific Audits Into A Repeatable, Evidence-Backed Practice.
Auditing AI agents from screenshots and self-attestation doesn't scale. RuntimeAI gives auditors direct access to the source evidence — RuntimeAI is the platform, your firm performs the audit — through the AAIC Audit Marketplace.
Query the actual telemetry and audit trail behind a compliance claim — not a screenshot handed over by the client.
Apply to join the marketplace and take on RuntimeAI-governed engagements — the platform stays neutral; your firm performs the audit.
The same evidence structure works across engagements, cutting the setup cost of each new audit.
Every AI-generated document is signed with a quantum-resistant signature tied to the specific agent and its authorization level — a verifiable signer, not just a signature.
Compliance events flow directly into Splunk, Datadog, or any SIEM the audit firm already uses — no separate portal to reconcile against.
AAIC (Autonomous AI Compliance) spans pre-deployment attestation, runtime enforcement, and continuous monitoring — one framework across the whole lifecycle, not just a point-in-time check.
See Every Team's View, Live
Same governance layer, tailored to how your team actually works. No invented ROI figures — real capability, shown live.