We build the security layer for the agentic era.
Araghatta is a specialist AI-security company. We build Sargha, the AI security platform for the agent era, because the AI attack surface moved faster than the security stack, and buyers deserve to know exactly what runs on their endpoints and what it collects before they deploy it.
Sargha is the product; Araghatta is the company.
Sargha is our AI security platform: the endpoint sensor (observe-only by default, enforcement opt-in), the discover → score → prove → govern engine, and the auditable evidence it produces. Araghatta is the company that builds Sargha and stands behind it. When you see “Sargha by Araghatta,” that is the relationship: one product, one company accountable for it.
Make shadow AI visible, scored, provable and governable.
Every organization is adopting AI faster than it can govern it: unsanctioned agents, MCP servers, and API keys are already on the fleet. Our mission is simple: make the shadow AI in your environment visible, scored, provable, and governable, and give security teams the evidence regulators now ask for. Discovery is read-only: the sensor observes and reports by default. Enforcement is available as an opt-in, audited mode, always operator-authorized and logged.
Three things, all our own.
Auditable endpoint sensor
One program per operating system for Windows, Linux and macOS, read-only and deployable through your device-management tool, and auditable, because you can review what it collects before you run it.
Posture & response
Discover → score → prove → govern. Risk intelligence, compliance mapping (OWASP LLM, NIST AI RMF, ISO 42001, EU AI Act), a content-DLP policy engine, and graduated, operator-authorized response: remote-pause, hard device revocation and binary attestation, plus endpoint enforcement from warn to block or quarantine as an opt-in, audited mode (generally available on Linux).
Assessment platform
Code, application, AI-agent and supply-chain testing, with each finding scored the same way every time and delivered as framework-mapped evidence.
We didn’t start from a platform diagram.
Each layer exists because the previous one exposed the next gap.
First: Start at the endpoint
A sensor for Windows, macOS and Linux that is read-only for discovery (observe by default; enforcement is opt-in and audited), MDM-deployable and auditable, because shadow AI lands on laptops before it ever reaches a firewall log.
Then: Turn signals into a graph
A deterministic engine that discovers every AI asset, scores real risk and produces evidence, with inventory kept separate from active exposure, so analysts work on what’s real.
Then: Follow the AI into the cloud
Sensor-led Cloud CSPM plus read-only, agentless connectors, joining a running agent to the cloud data it can actually reach, as one attack path rather than two alerts.
Now: Close the loop with governance
Policy, signed and verifiable evidence, and mapping to the EU AI Act, NIST AI RMF and ISO 42001: the proof security teams and auditors now ask for.
Four working principles.
Built, not resold
The sensor and adversarial tooling are our own: faster coverage per dollar, findings tuned to you, and nothing to reverse-engineer from a black box.
Evidence over noise
A deterministic risk engine scores and bands every finding, separating inventory from active risk so analysts spend time on what’s real, with an optional AI layer to triage the ambiguous cases.
Transparency by default
Read what the sensor collects and what it never touches. Run it inside your own AWS account if your risk model requires it.
Knowledge in the open
Our research library of 300+ AI- and cloud-security articles is free, because a more security-literate industry is good for everyone.
Who we are.
AI security only
A specialist company built for the agentic era, not a general security vendor bolting AI onto an existing product.
Product + services
A subscription platform and an auditable sensor, delivered alongside fixed-fee engagements and design-partner programs.
Serving customers in the US & EU
Customers across US and EU markets, with managed hosting in the United States or fully in-VPC deployment in your own region. Our registered legal entity and business address are shared during evaluation.
Founder-led.
Araghatta is founder-led and operates as Araghatta LLC, a New Jersey limited liability company. References and the identities of the people you’ll be contracting with are shared under NDA during evaluation and in our DPA: ask and we’ll tell you exactly who you’re working with. For due diligence, partnership or press: info@araghatta.com.
Start with the Trust Center (assurance status, with our security package under NDA), read a customer engagement, browse sample reports, or book a 30-minute call.
See the AI on your fleet in about a week.
Run the sensor across your estate and receive an AI risk report and an AI Bill of Materials. The assessment is free and carries no commitment.