Raxe AI

[Raxe AI @RaxeAi]

We’re building runtime security for AI agents at https://t.co/xCeaFxUo72 - visibility, detection, and control over what agents actually do in production.

[Raxe AI @RaxeAi]

@morganlinton @gregisenberg @LyticalVentures How do we talk? We’re building runtime security for AI agents at https://t.co/xCeaFxUo72 - visibility, detection, and control over what agents actually do in production.

[Raxe AI @RaxeAi]

22 advisories. 40 CVEs. 94 Sigma detection rules.

Every one covering AI/ML infrastructure: vLLM, MLflow, PyTorch, LangChain, Flowise, Claude Code, HuggingFace tooling.

Attack chains + detection signatures for every finding. Free.

https://t.co/KeBEUNkya1

[Mukund | Muks @CyberAmyntas]

7 days; 70K scans, read the latest report by @RaxeAi on AI and Agent Runtime security.

https://t.co/DO1b00AhCK

One key takeaway is Inter-agent attacks emerged as a distinct category (3.4%), with attackers now targeting agent-to-agent communication channels

[Raxe AI @RaxeAi]

@steipete @_vgnsh @dan_munz @openclaw Try https://t.co/70JdrxX4Fq - On-device runtime protection that blocks prompt injection, tool misuse, and data exfiltration inside your trust boundary.

[Raxe AI @RaxeAi]

@krishgupta72 Try https://t.co/70JdrxXCuY - On-device runtime protection that blocks prompt injection, tool misuse, and data exfiltration inside your trust boundary.

[Raxe AI @RaxeAi]

@sidham_song Try https://t.co/70JdrxXCuY - On-device runtime protection that blocks prompt injection, tool misuse, and data exfiltration inside your trust boundary.

[Raxe AI @RaxeAi]

@TeriRadichel Try https://t.co/70JdrxX4Fq - On-device runtime protection that blocks prompt injection, tool misuse, and data exfiltration inside your trust boundary.

[Raxe AI @RaxeAi]

@0xAsm0d3us Try https://t.co/70JdrxXCuY - local scanning to help with detection!

[Raxe AI @RaxeAi]

@flaviocopes Have you tried happy? https://t.co/r2emRvQadb

[Raxe AI @RaxeAi]

@irabukht Try https://t.co/70JdrxX4Fq - get visibility locally on what’s being asked and check the intent - runtime security layer that’s local and cpu first

[Raxe AI @RaxeAi]

@michaelgrowth @irabukht Try https://t.co/70JdrxX4Fq - get visibility locally on what’s being asked and check the intent - runtime security layer that’s local and cpu first

[Raxe AI @RaxeAi]

RAXE v0.7.1: Multi-Tenant LLM Security

When you're serving multiple customers through a single AI gateway, one-size-fits-all security doesn't work.

Now you can configure per-customer security policies

[Raxe AI @RaxeAi]

@claudeai nooooooooo!!! my acceleration is now decelerating!

[Raxe AI @RaxeAi]

@claudeai - I love ascii graphics - but when ever i ask for some, for my on CLI, or documentations like https://t.co/k8jbSuE3AZ its gets 99% ready - The right alignment always has this funky nudge. check out https://t.co/70JdrxXCuY for many examples of this "nudge" artefact

[Raxe AI @RaxeAi]

@elormkdaniel Always dns

[Raxe AI @RaxeAi]

highest agent/background count so far is 11 - how do i start spawning 50+ agents @claudeai safely?

[Raxe AI @RaxeAi]

34K Scans in the last 6 hours. THANK YOU <3 - Will continue to take on feedback, improve and release.

[Raxe AI @RaxeAi]

The voting engine is the brain of our system. Instead of simple averaging, it implements a sophisticated weighted voting protocol with priority-based decision rules.

[Raxe AI @RaxeAi]

Moved our primary binary classifier to #embeddinggemma using 5 specialised heads.

What this means is the L2 Engine supports 100+ languages (We would still need to train for better accuracy but its a great start)

https://t.co/70JdrxXCuY