Security teams that close the loop.
How teams in energy, IT services, payments and AI software turned findings into closed risks, with the workflows, approvals and architecture they actually run.
Cloud findings nobody owned. Now owned, fixed and proven.
Misconfigurations across AWS, Azure and GCP stalled on one question: whose resource is this? autobotAI now works out the owner, sends them the risk and the proposed fix in Microsoft Teams, and closes every finding with evidence.
Autonomous pen-testing of a live app: every proven flaw worked to a merged, re-tested fix
Grene Robotics cut manual security and IT work by 55%
800+ cloud accounts on one remediation process, approved by the owning teams
From reactive to predictive: 73% lower MTTR with two multi-agent workflows
Razorpay cut incident response time by 73% with 30+ workflows
See how it would run in your industry.
Illustrative end-to-end scenarios for environments where we don’t publish a customer story yet. Clearly labelled, and a 4-week proof turns them into your numbers.
A vehicle SOC that closes fleet risk, with every owner in the loop.
How a connected-vehicle OEM, or the partner that runs its VSOC, works each fleet risk on autobotAI, from an on-board IDS event to a supplier fix, an approved OTA release and an up-to-date R155 record.
What security leaders tell us.
“autobotAI allowed us to streamline and automate our runbooks: faster detection, quicker remediation and stronger operational outcomes.”
“From weeks to minutes, autobotAI made our cybersecurity and cloud operations effortless.”
Your team could be the next story.
See one of your own risks worked end to end, on your stack, in your cloud if you prefer.
Named stories are published with each customer’s written consent.