autobotAI

autobotAI positions itself as a cybersecurity agent factory. The premise is simple: every security tool now ships its own AI that finds risk in seconds, but closing that risk still runs on people — handoff after handoff, one wait at a time. autobotAI applies AI to how security operates rather than to individual tools, giving one factory that builds agents for SOC, GRC, AppSec, IGA, IT, network and cloud, federated across the tools you already run and without requiring a data lake.

The product centres on two ways to build automation. A workflow is the predictable path: you set the steps, every step is visible before it runs, each agent can use the model that suits its job, and cost stays flat. A harness is the open-ended path: a team of agents, schedules and shared memory organised around a single goal, with approvals routed through Slack or Teams before anything risky happens. Both run on the same foundation of connected tools, governed organisational memory, guardrails and live risk registers, and the builder suggests which one fits your brief.

Governance is treated as a first-class feature. Agents are bounded by autonomy levels you define — advise only, ask first, act within limits and impossible — so people own the calls that matter while routine steps run inside policy. Every action updates a live register with a named owner and audit-ready evidence. autobotAI is fully self-hostable, works with Amazon Bedrock, Azure AI Foundry, OpenAI, Google Vertex AI or your own self-hosted model, and states SOC 2 Type II, ISO 27001 and GDPR compliance.