Identity
Defines the principal’s permitted access.
For the builders of agentic AI
See every agent. Govern every connection.
Give enterprises the confidence to let agents do more. Maya adds independent, per-agent control on the network path. No traffic decryption. No agent code changes.
The missing layer
Autonomy needs a boundary.
One agent in a fleet goes wrong. Can you identify it? Can you stop it?
Runtime controls
Govern activity within the agent’s runtime.
Maya
Enforces the agent’s mandate on its connections.
An independent layer that complements model and runtime safeguards.
From intent to control
A mandate for every agent. Evidence for every connection.
You set the policy. Maya applies it to every connection.
Declare
Define an agent’s policy mandate once, centrally.
Observe
Discover agents and attribute each connection to the agent that made it.
Detect
Expose undeclared agents and traffic that deviates from a mandate.
Decide
Evaluate the observed behavior against the policy you defined.
Enforce
Allow, limit or stop the agent or the specific flow. Reversibly.
Illustrative connection policy
The agent is the unit of control.
An independent control layer
Control stays in your cloud.
The agent can act. The enterprise sets the boundaries.
Inside your environment
Maya runs in your own cloud account and VPC.
Encrypted traffic stays encrypted
Payload-blind enforcement. Maya never decrypts traffic.
The agent stays unchanged
Zero changes to agent code.
Each agent has its own boundary
Enforcement is scoped to the agent, or to flows within its traffic.
One governed fleet
Many runtimes. One place to govern.
Available now on AWS and GCP, in your cloud account.
Where agents run
From the laptop to the cloud.
Remote workers, Linux servers, Kubernetes, cloud agent runtimes and container platforms.
Where they connect
Models. Data. Tools. Agents.
LLM endpoints, databases, object storage, MCP servers and SaaS services.
How teams operate
One console for the fleet.
Central policy and connection evidence, with OpenTelemetry export and gRPC and REST APIs. Works with Okta, SPIFFE and cloud IAM.
Team
Built by network and security experts.
Daljeet Singh
Founder & CEO
Networking datapath architect with nearly three decades building forwarding planes, deep packet inspection, QoS, and control-plane security at Cisco, Juniper, and Brocade, and cloud infrastructure at IBM and Oracle. He built Maya's eBPF datapath and agent-identity model. Nine US patents. M.S. Computer Engineering, Santa Clara University.
Rajiv Raghunarayan
Co-founder & CTO
Founding engineer of Cisco's network infrastructure security group, where he worked on Control Plane Policing and deep packet inspection, then product and go-to-market leader at FireEye, Mandiant, SentinelOne, Cyberinc (acquired by Forcepoint), Elastic, and Anomali. Published IETF RFC author. MBA, UC Berkeley Haas.
Suneetha Sarala
VP of Engineering
Engineering leader with 25 years in networking, cloud infrastructure, and security. Most recently Director of Software Engineering at Palo Alto Networks, leading a cloud platform processing 2 trillion events and 6 PB daily across 20+ countries. Her experience includes FedRAMP compliance. She leads Maya's engineering organization, including data plane, control plane, and multi-cloud deployment. US patent inventor. B.Tech, College of Engineering Trivandrum.
Build with us
More autonomy starts with a shared foundation.
Now onboarding model builders, agent platforms and research teams. Bring a workflow that matters to your customers, and we test how agent identity, policy and connection evidence hold up as autonomy grows.
Choose one real workflow.
Agree on the runtime, destinations and behavior to evaluate.
Test the boundary.
Define a mandate, then test undeclared agents and connections beyond it.
Review the evidence together.
Assess agent attribution, enforcement and the effect on the rest of the fleet.
Let’s start a conversation
What would your agents do with a boundary you could trust?
Start a conversationOr email partner@mayagentic.com to explore a partnership. Research inquiries: research@mayagentic.com.
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