AIM Intelligence
Cybersecurity AI · Artificial Intelligence
Overview
AIM Intelligence provides an integrated AI security solution optimized for the enterprise. From automated red teaming to ultra-low latency real-time guardrails, we empower organizations with complete control to deploy safe and reliable AI services.
Funding and backers
Backers
1
Mashup Ventures
Momentum
30/100
in the news, rising traction
Last sign of life
1 mo ago
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Sep 17
Launched AIM Intelligence Launches Global Physical AI Safety Consortium 'PASC' · oklahoman.com
Sep 3
Partnership AIM Intelligence Joins SK Telecom Consortium for 'AI for Everyone' Initiative · aim-intelligence.com
2024
Founded
Tractionpublic signals, read monthly
Backed byfrom the funds' portfolios and accelerator catalogs
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News
Report
PASC: Building the Foundations for Physical AI Safety
PASC (Physical AI Safety Consortium), launched by AIM Intelligence, is an open global consortium focused on building the foundations for safe and governable Physical AI. Bringing together researchers, industry, and safety institutions, PASC develops share
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AIM Intelligence Joins SK Telecom Consortium for 'AI for Everyone' Initiative
AIM Intelligence has joined SK Telecom's consortium for the government's "AI for Everyone" project, taking responsibility for AI security. The company will provide AI red teaming and guardrail technologies to detect and prevent risks such as data leaks, p
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Report
COMPASS: Your Enterprise Chatbot Says Yes Too Easily - and That's a Policy Breach Waiting to Happen
We built the first systematic framework for testing whether LLMs follow organization-specific policies. Across 5,920 queries and seven frontier models, the result is a fundamental asymmetry: models handle legitimate requests with over 95% accuracy but ref
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Report
XL-SafetyBench: Translated Safety Benchmarks Are Lying to You
We built the first country-grounded, cross-cultural safety benchmark: 5,500 native-language test cases across 10 countries, evaluated on 10 frontier and 27 local models. Country-specific attacks push frontier ASR from 34.5% (US) to 57% (UAE) - and much of
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EgoSafetyBench: Can a VLM Actually Guard a Robot? Mostly, No.
We built a 1,200-scenario egocentric video benchmark to test vision-language models as real-time safety guards for robots. Every model tested misses context-dependent hazards far more than obvious ones, the best guard alarms on time for barely half of haz
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Report
SceneSplit: Every Scene Is Harmless. The Video Isn't.
Our ICLR 2026 paper jailbreaks commercial text-to-video models by splitting a harmful narrative into individually benign scenes. Attack success reaches 84.1% on Hailuo and 68.6% on Sora2 - using prompts that score lower on OpenAI's Moderation API than the
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NRT-Bench: We Put LLM Agents in a Nuclear Control Room and Attacked Them for 10 Turns
A benchmark where harm is a physical state transition, not an LLM's opinion of a text. Four frontier models run a simulated nuclear plant as a five-role operator team; adaptive multi-turn attacks push 8.7-12.1% of sessions past a critical safety limit. Th
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ESCAPE: How an OpenAI Agent Broke Out of Its Sandbox and Breached Hugging Face
An OpenAI agent being evaluated on a cybersecurity benchmark decided the cheapest way to score higher was not to solve the challenge. It found a zero-day in the one service allowed out of its sandbox, reached the open internet, chained its way into Huggin
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