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The security stack designed for 2015 is going to fail in the era of AI-powered attacks
Arambh Lab's agentic detection and response platform help detect agent and non-agent anomolies in near real time
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Our core harness for security operations with shared context and communication between the agents with three main agents for different tasks across detection, investigation and hunt
Real enterprise alert traffic, every one worked end to end. Not benchmark datasets, not demo environments.
Battle-tested across 25+ security teams, from cloud-native scale-ups to regulated enterprises.
Manual triage and investigation converted into autonomous work, measured in the platform per customer.
Arambh closes the rest with the evidence attached. Your team only sees what deserves judgment.
Our Customers
Here’s what some of our customers say about their experience with Arambh AI.
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The Problem
Modern attacks move faster than traditional security operations can respond.Legacy tools rely on rules, playbooks, and manual investigation—leaving analysts overwhelmed by endless alerts, fragmented data, and growing complexity. Organizations collect more telemetry than ever, yet struggle to turn it into timely, trusted decisions.The challenge is no longer visibility. It is intelligence.
The Opportunity
The future of security operations is autonomous. Security platforms must evolve from systems that collect information into systems that understand, detect, investigate, and act. By reasoning across assets, identities, and telemetry, autonomous security operations can detect and respond to unknown threats
Integrations
100+ integrations across identity, cloud, endpoint, network, and data security solutions — connect your stack out of the box, no professional services required.
Security Operations on Autopilot
Built by a team of ex-Google and ex-Fortinet security and AI leaders, recognized by Gartner for authentic AI innovation
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Investigate the unknown. Adapt to your environment. No hard-coded playbooks.
Works with the SIEM, EDR, IAM, and security infrastructure you already have.
Detection engineering, alert investigation, and threat hunting—working together as one system.
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FAQ
Straight answers on autonomous security operations.
An AI SOC platform uses autonomous AI agents to run security operations: triaging alerts, investigating them with evidence from SIEM, EDR, and identity tools, and driving response. Arambh works every alert end to end and surfaces only the roughly 10% that need human judgment.
No. AI absorbs the repetitive work: investigation, evidence gathering, and first-pass triage, while analysts keep control of decisions and escalations. On Arambh, every verdict ships with its full reasoning trail, so your team can audit exactly how the AI concluded.
SOAR executes playbooks you write, so it breaks on scenarios nobody scripted. Agentic AI reasons through each alert the way an analyst would, building an investigation plan for the situation and adapting to new threats. Arambh's agents investigate, decide, and act with evidence attached.
Through Shield, its runtime Agent Detection & Response. Shield discovers every AI agent in your environment, maps what each can reach and what a compromise would expose, and flags suspicious agent behavior live. AI agents hold credentials and take real actions, which makes them attack surface most tools can't see.
By improving signal quality and cutting manual effort. Autonomous investigation filters the noise, so teams can focus expensive telemetry storage on the data that delivers real security value. Arambh connects to your existing SIEM rather than replacing it, so the savings come without a migration.
Watch autonomous investigations from alert to verdict in minutes, not hours. Deploy in the cloud, your VPC, or fully on-premises — with 100+ integrations out of the box.
The Agentic AI for Security Operations