The defense layer
for enterprise AI.

Aurva discovers sanctioned and shadow AI from the runtime, traces every agent, model, identity, and data flow, detects threats with AI-powered analysis, and enforces policy by routing, redacting, blocking, or revoking access before risk becomes impact.

curl -fsSL https://aurva.ai/install.sh | bash

Install · 10 min ↓ How it works

Traditional security wasn't built for agentic AI.

Agentic risk lives in the sequence. A newly deployed agent can use a valid identity, access permitted data, invoke an approved tool, and call a model directly. Every action can look legitimate alone. Together, they can violate the agent's intended purpose.

THE SAME EXECUTION

NEW AGENT→VALID ROLE→CUSTOMER DATA→APPROVED TOOL→DIRECT MODEL CALL

INDIVIDUALLY ALLOWED · COLLECTIVELY UNSAFE

AI GATEWAYROUTED TRAFFIC ONLY

It never sees the call.

The new agent calls the provider directly. Because the request never reaches the gateway, there is nothing to inspect, inventory, or control.

NO ROUTE → NO VISIBILITY → NO POLICY

FIREWALLNETWORK TRAFFIC ONLY

It sees an allowed connection.

A permitted TLS connection does not reveal which agent initiated it, what source data it carries, why it is happening, or whether the sequence has drifted from intent.

CONNECTION SEEN · INTENT UNKNOWN

MANUAL SECURITYHUMAN RESPONSE LOOP

It reconstructs the incident later.

Teams can correlate logs, update inventory, write a rule, and route a ticket. The agent can complete the sequence before that control cycle begins.

INVENTORY → CORRELATION → TICKET → RULE

RUNTIME DEFENSE

Aurva Security

Control what is actually happening. Aurva discovers new deployments from the runtime, connects identity, data, tools, models, and destinations, then evaluates the sequence against expected behavior. It can block activity, restrict access, and apply policy while the agent is still operating.

Gateways depend on routed traffic. Firewalls stop at the connection.
Manual security follows the incident.
Aurva moves at agent speed.

Four observatories.
One runtime truth.

Aurva brings agents and models, runtime identities, endpoints and providers, and data sources into one connected evidence graph. See what is running, who is acting, what data it touches, and where it goes, directly from the runtime. Your applications never know Aurva is there.

L4 · APPLICATION12 MODELS · 4 PROVIDERS

Agents and Models

Every workload, agent, model, and provider currently active in your environment.

support-agentbedrock · anthropic

doc-classifiervertex ai · gemini

shadow-copilotopenai · personal key

L3 · IDENTITY47 IDENTITIES · 3 DRIFT

Runtime Identities

The complete chain from workload to service account, cloud role, and resource.

support-agent-sa12 permissions · 3 used

iam:doc-classifier1 new permission · 24h

okta:ai-opsfederated · sanctioned

L2 · NETWORK / EGRESS147 ENDPOINTS · 8 NEW

Endpoints and Providers

Every internal and external destination, including first-seen and unsanctioned routes.

api.anthropic.comexternal · sanctioned

91.214.77.18:443novel destination · 3d

api.fireworks.aiinternal · sanctioned

L1 · DATA38 SOURCES · 11 SENSITIVE

Data Sources

Queries, objects, vectors, and sensitive fields traced back to the calling identity.

rds:customerspostgres · pii

s3://support-uploads/*object · sensitive

vector:customer-contextembeddings · sanctioned

AURVA SECURITYUnified AI SecurityRUNTIME + INLINE CONTROL

Control the known.
Neutralize the unknown.

Aurva's inline control plane enforces policy on sanctioned AI traffic while the eBPF runtime sensor watches the entire environment, including shadow routes that bypass the control path. Runtime findings become policy in real time, so Aurva can block, redact, reroute, or revoke access without waiting for manual triage.