AI is accelerating innovation. But it’s also changing the speed and scale of cyber threats. Are we ready? On October 28, @Fayarjomandi , Founder & CEO of mimik, will join cybersecurity and technology leaders at the OAS Cyber Americas Forum 2026 in Panama City for a timely panel discussion: “The AI Vulnerability Surge: Are We Ready for Machine-Speed Exploitation?” As AI-powered threats evolve, traditional approaches to cybersecurity face new challenges. The discussion will explore what machine-speed exploitation means for cyber resilience, security operations, and the future of digital trust. At mimik, we believe that as AI systems become more autonomous, security and governance must be foundational, not an afterthought. Fay will bring this perspective to the discussion, exploring the challenges of securing intelligent systems as AI accelerates both innovation and cyber threats. 📍 Sheraton Grand Panama | Panama City, Panama 📅 October 28, 2026 | 10:00–11:00 a.m. (local time) Will you be attending? We'd love to connect! oas.org/ext/en/main/calendar… #OASCyberForum2026 #Cibercom026 #CyberAmericasForum2026 #Cybersecurity #AgenticAI #AISecurity #mimik @OAS_official

"No single company will build the future of physical AI." That line from @AMD 's Amey Deosthali, launching the AMD Robotics Partner Network, is the reason mimik is part of it. The network connects hardware makers, software vendors, simulation providers and integrators around one goal: move robots from proof of concept to production faster, with less integration work. mimik's role in that ecosystem is the part most robotics teams end up building by hand: the operating engine that lets agents on a robot find each other, share models, stay secure and keep working when the network does not. mimOE, our Agentix-Native (aka Agentic AI) operating engine, brings that layer to #AMDRyzen™ AI Embedded platforms out of the box. Your team writes robot skills. Not plumbing. Read more about the network: newsroom.amd.com/news/aai-20… @AMDembedded @Fayarjomandi @siavashalamouti @SamArmani @miburger #Robotics #PhysicalAI #mimOE #AMD #AgenticAI

A GPU-only view of AI misses two of the three engines on the chip. @AMDRyzen™ AI Embedded X100 Series processors put a CPU, GPU and NPU on one die with shared memory. Agentix-Native (aka Agentic AI) systems are the workload that needs all three at once: CPU: discovery, security, routing and coordination between agents. In our modeled agentic workloads running on mimOE, this coordination layer accounts for over 80 percent of the compute. GPU: heavy inference, vision and planning models NPU: always-on perception at low power The models get the GPU and NPU. The agents, the part that makes it a system, live on the CPU. Most AI stacks have nothing built for that layer. That is where #mimOE sits on @AMD silicon. It is the operating engine for the agents themselves: they discover each other, load a model once and share it, and cooperate through multi-agent choreography, while your models run where AMD’s stack already puts them. We broke down the full compute picture in our whitepaper: mimik.com/agentix-compute-be… #AgenticAI #HeterogeneousCompute #mimOE #AMD #PhysicalAI @Fayarjomandi @siavashalamouti @SamArmani @AMDembedded

The silicon is ready. Is your software? AMD #Ryzen™AI Embedded X100 Series processors move into production this quarter. Up to 16 Zen 5 cores, an integrated GPU, an NPU, unified memory, rated from −40 to 105°C for up to 10 years of 24/7 operation. That is the hardware for a robot brain on a single processor. What turns it into one is the software that lets agents run, find each other and cooperate on it from day one. mimOE Embedded Edition is our answer: the Agentix-Native (aka Agentic AI) operating engine for X100 based devices. 🔘 Shared models load once and serve many agents, so one device carries the whole workload 🔘 Multi-agent choreography, zero-trust security and network resilience are built into the operating engine, not bolted on 🔘 The same mims you prototype on a laptop deploy to the board unchanged OEMs, ODMs and system integrators building on X100: let's make your first production units ship with agents already running. mimik.com/contact-us Developers: start on your laptop today, deploy to X100 when your boards arrive. developer.mimik.com/ @AMDembedded @AMDRyzen @AMD @Fayarjomandi @SamArmani @siavashalamouti #PhysicalAI #EmbeddedAI #mimOE #AMD #RyzenAI

Agentic AI isn't just a GPU workload. CPUs play a big role. Recent @mimiktech tests of agentic workflows on AMD Ryzen AI Embedded X100 processors found about 80% of operations were CPU-bound, supporting coordination, orchestration, scheduling and reporting. Watch @Fayarjomandi, founder and CEO of mimik, as she explains why heterogeneous compute matters for deploying agentic AI at the edge and describes her vision for open, collaborative and scalable systems. 🎥 Full interview: piped.video/8CFnJ5qwCrA

The next frontier for AI agents is already in your pocket. And in your car. And on the factory floor. As agents move onto devices, those devices become active participants in a network, serving requests, coordinating work, and making decisions where data is created. That shift brings a critical question: how do we ensure every interaction is secure, traceable, and accountable? Our CTO, Michel Burger, examines how #mimOE enables this next chapter of computing, bringing intelligence and the infrastructure to support it directly to devices. At mimik, we believe capability and responsibility must arrive together. Read “Where No Agent Has Gone Before” → mimik.com/ai-agents-beyond-t… #AgenticAI #EdgeAI #OnDeviceAI #mimik #mimOEStudio #Developers #DistributedAI #EdgeComputing #DecentralizedAI #AIInfrastructure #DeviceFirstAI #IntelligentDevices @Fayarjomandi @SamArmani @siavashalamouti @miburger

Prototype on your laptop in the morning. Deploy to a fleet of devices in the afternoon. That is what mimOE Studio is for. mimOE Studio is the first Agentix-Native workstation: one place to design, test, and choreograph multi-agent systems before pushing them across the Device-First Continuum. The workflow: 1. Build mims, micro intelligence modules that package agent capability 2. Compose and choreograph them into a multi-agent system, and watch them cooperate live 3. Deploy the same system to Intel-powered AI PCs, AMD embedded boards, or Advantech gateways without changing your code The reason one workflow spans all that hardware: #mimOE itself is 10 to 20 MB and OS-agnostic. The runtime travels; your code does not fork. No fleet? No problem. Studio plus a laptop is a complete Agentix-Native lab. Get started: mimoestudio.mimik.com/ #mimOEStudio #AgenticAI #Developers #mimOE

Peak TOPS doesn't tell you how a system behaves once hundreds of agents are running at the same time. Orchestration does. @AMD just published a technical deep dive on agentic AI with AMD Ryzen™ AI Embedded X100 Series processors and mimOE, the mimik Agentix Operating Engine. In mimik modeling across 455 agentic AI workflows, X100 configurations sustained up to 2.3x more concurrent agents. #AgenticAI #PhysicalAI #mimOE #AMD @Fayarjomandi @siavashalamouti @SamArmani

Most enterprise AI programs are not stalled by budget or talent. They are stalled by three assumptions the industry inherited from the cloud era and never retested. We put them side by side with what our silicon work actually shows. Which one is slowing you down the most? Tell us in the comments. We have answers. #AgenticAI #AIInfrastructure #mimOE #DeviceFirstContinuum @FayArjomandi @SiavashAlamouti @MichelBurger @SamArmani

Most enterprise AI programs are not stalled by budget or talent. They are The hardest part of industrial AI is not the model. It is the thousand devices, five operating systems, and zero patience for manual setup. That is the problem our partnership with #Advantech attacks. Advantech's industrial hardware portfolio plus #mimOE means devices that find each other automatically. Zero-touch setup, dynamic discovery, and zero-trust security are built into the operating engine (runtime+), not bolted on by an integration team. Picture one factory line: 🔘 Vision agents on Advantech gateways inspect parts as they pass 🔘 A routing agent redirects flagged parts and alerts the line supervisor 🔘 The agents coordinate through multi-agent choreography, on the line, even if the plant's uplink drops No cloud round trips. No re-imaging devices. No forklift upgrade. The same pattern serves manufacturing, transportation, healthcare, and defense. #IndustrialAI #AgenticAI #mimOE #Advantech @Fayarjomandi @siavashalamouti @miburger @SamArmani @Advantech_eIoT @Advantech_IIoT

An #AIagent that only works in a demo is a demo. Our Agentic AI Production Center collaboration with Tech Mahindra exists to ship agents into the real world. At @tech_mahindra, teams design, develop, and commercialize Agentix-Native (aka Agentic AI) systems on real infrastructure: smartphones, drones, robots, and industrial sensors, all running #mimOE, all offline-first and cloud-capable. Why it matters: 🔘 Enterprises get a proven path from concept to deployed multi-agent system 🔘 Solutions are engineered on the hardware they will actually run on, not a simulator 🔘 Tech Mahindra's global engineering force, more than 150,000 professionals across 90+ countries, turns mimOE deployments into delivered programs As our CEO @Fayarjomandi said at launch: this is where physical AI becomes real. Exploring agentic AI for your operations? Ask us about a Production Center engagement. mimik.com/contact-us #AgenticAI #PhysicalAI #mimOE #TechMahindra @miburger @SamArmani @siavashalamouti

Analysts now put Agentic AI and physical AI at the top of the 2026 trend lists. We agree, with one addition. Physical AI only becomes real when agents can run on the machines themselves. Gartner Research names physical AI among its top strategic technology trends for 2026, and agentic AI leads its supply chain trend list. The direction is clear: AI is leaving the chat window and entering robots, vehicles, production lines and instruments. But a robot that needs a round trip to a data center to decide is not autonomous. It is remote-controlled. That is why mimik builds for the Device-First Continuum: mimOE puts an Agentix-Native (aka Agentic AI) operating engine (runtime+) on the machine itself, so agents perceive, decide, and act where the physics happens, offline-first and cloud-capable. Physical AI is a trend. Operationalizing it is a discipline. We wrote down how we practice that discipline in the mimik Physical AI manifesto: mimik.com/the-physical-ai-ma… #PhysicalAI #AgenticAI #DeviceFirstContinuum #mimOE @Fayarjomandi @siavashalamouti @SamArmani

In modeled agentic workloads, with mimOE, over 80 percent of the compute is CPU work: discovery, security, routing. The GPU is not the whole story. That finding shaped our latest release: mimOE Embedded Edition optimized for AMD Ryzen AI Embedded X100 Series. It brings full multi-agent systems to embedded devices: 🔘 Shared models load once and serve many agents, so multi-tenant deployments fit on a single device Built-in multi-agent choreography, zero-trust security, and network resilience 🔘 The same Agentix-Native (aka Agentic AI) runtime that powers AI PCs, now on embedded silicon As @AMD's Yousef Khalilollahi notes, #agentic AI is shifting compute toward workloads that exercise the CPU, GPU, and NPU together. #mimOE is how that shift reaches production hardware. OEMs, tier-1 suppliers, and system integrators: let's talk about what your devices could be running. [contact link] Developers: the embedded APIs match the desktop ones. Build once, deploy to both. developer.mimik.com/docs/ai-… @AMDembedded #EmbeddedAI #AgenticAI #mimOE #AMD #RyzenAI @siavashalamouti @Fayarjomandi @SamArmani

Physical/Edge AI asked where to put the model. The Device-First Continuum asks a better question: where does the work actually happen? The industry is moving beyond physical/edge AI to the Device-First Continuum. Here is what that means. In the Device-First Continuum, intelligence starts on the device and extends across gateways and cloud data centers. No tier is 'the' location for AI. Work executes wherever it makes the most sense at that moment. The building blocks: 🔘 mimOE: a 10 to 20 MB, OS-agnostic operating engine (runtime+) that turns any device into a node 🔘 mims: micro intelligence modules, small units of agent capability you compose like software 🔘 Multi-agent choreography: agents cooperate as peers across heterogeneous devices and operating systems, no central conductor required And because it is offline-first and cloud-capable, agents keep working when the network does not. @Fayarjomandi @SamArmani @siavashalamouti

Every Intel-powered AI PC in your fleet is more than a laptop. With mimOE, it becomes governance-ready AI infrastructure. This summer we announced a collaboration with Intel to optimize mimOE, our Agentix-Native operating engine, for AI PC platforms, integrated with the Intel OpenVINO toolkit. What that means in practice: - AI agents discover each other, route work, and execute directly on the PCs your teams already use - Everything runs inside enterprise governance boundaries with zero-trust security - No cloud tethering. No per-token charges. Your compute, your rules. As Dennis Luo, Senior Director at @Intel, put it: “mimik delivers an enterprise-ready way to discover, route, and govern Agentic AI workloads.” Our SVP @SamArmani said it best: “Intel-powered AI PCs offer enormous compute capability. With #mimOE, that compute becomes resilient infrastructure.” Developers: if you build with OpenVINO, mimOE gives your models a multi-agent operating engine (runtime+) on day one. github.com/mimik-mimOE Read the full announcement: mimik.com/mimik-device-first… @IntelBusiness #AIPC #AgenticAI #mimOE #Intel #OpenVINO @Fayarjomandi @siavashalamouti

The industry has solved intelligence. It has not solved operationalization. Roughly 90 percent of enterprise AI pilots never reach production. Not because the models are weak, but because there is no runtime to carry agents out of the demo and into the places where work actually happens: laptops, gateways, embedded boards, vehicles and production lines. This is the gap mimik closes. #mimOE, our Agentix-Native (aka Agentic AI) operating engine, is a 10 to 20 MB, OS-agnostic operating engine (runtime+) that lets AI agents run, cooperate, and stay governed on the devices you already own. Over the next month we will show what that looks like in practice: 🔘 AI PCs that become governance-ready AI infrastructure 🔘 Multi-agent robotic systems running on embedded silicon 🔘 Zero-touch industrial deployments 🔘 Agents shipped into real production If your AI program is stuck between pilot and production, this series is for you. Developers: #mimOE is small enough to try before your coffee cools. Start here: developer.mimik.com/ #AgenticAI #DeviceFirstContinuum #mimOE #AIInfrastructure @Fayarjomandi @siavashalamouti @SamArmani

#AgenticAI is a coordination problem before it is a hashtag#compute problem. In our tests on AMD Ryzen AI Embedded X100 processors, about 80% of agentic operations were CPU bound: orchestration, scheduling, coordination and reporting. Thanks, @AMDembedded and KV Thanjavur Bhaaskar, for the conversation with our founder and CEO, @Fayarjomandi, on why heterogeneous compute is what makes agentic AI deployable where data is created.

Agentic AI isn’t just a GPU workload. CPUs play a big role. Recent @mimiktech tests of agentic workflows on AMD Ryzen AI Embedded X100 processors found about 80% of operations were CPU-bound, supporting coordination, orchestration, scheduling and reporting. Watch @Fayarjomandi, founder and CEO of mimik, as she explains why heterogeneous compute matters for deploying agentic AI at the edge and describes her vision for open, collaborative and scalable systems. 🎥 Full interview: piped.video/8CFnJ5qwCrA

Hardware makers built managed device businesses because one-time margin is a hard way to grow. Agentic AI is the next thing those managed businesses should be selling, and right now they cannot, because there is nothing on the endpoint to manage. Once mimOE is on the fleet, there is. Agent identity to provision. Policy to author and enforce. Telemetry to route into the customer’s SIEM. Routing decisions between device, peer device and data center to tune. That is a managed service with real recurring surface area, sold on top of hardware the customer is buying anyway. Device as a Service was the first act. Governed agents on the fleet is the second. #DaaS #ManagedServices #AIPC #AgenticAI #EnterpriseIT @Fayarjomandi @siavashalamouti @SamArmani