Longbow Advantage

• Develop content strategy, implement messaging strategy
• Write and edit content for:
•• eBooks
•• articles
•• product sheets
•• case studies
•• and other content used in marketing campaigns
• Manage and create content for social media
• Produce live webinars
• Maintain content for all brand websites
• Create illustrations for various content pieces
• Create compelling sales messaging
• Work with Demand to create campaign + email materials
• Maintain editorial calendar and develop press relationships

Content Marketing Manager

TH Creative

I help visionary founders and B2B brands turn complex ideas into clear, compelling stories.

With over a decade leading content, creative, and brand strategy, I specialize in shaping narrative, from high-level positioning down to the weekly posts that spark traction.

Whether ghostwriting on LinkedIn for a startup founder or building a content strategy for a logistics SaaS company, I bring structure, voice, and story to every message.

My work has helped brands grow email CTR by 35%, boost demo requests by 20%, and increase social engagement by 50%-not by chasing trends, but by telling the right story in the right way.

If you're a founder with big ideas but no time to write, or a startup looking to build a brand with depth and soul, I'd love to talk.

Services:
▸ Founder ghostwriting (LinkedIn, articles, thought leadership)
▸ Brand narrative + messaging frameworks
▸ Content systems with voice and vision built in

Owner

The Creative Rebellion

Founder

Travis Hinkle Illustration

Imaginative and creative illustrations

• Work in traditional mediums like pencil, pen & ink, colored pencil, and watercolor
• Create digital illustrations in Photoshop and ProCreate

Freelance Illustrator

Compel Church

• Designed graphics for various platforms, including in-service screens, videos, outdoor and directional
signage, printed deliverables, social media, web use, and mobile app
• Assisted in rebranding and creating brand standards and guidelines in 2021
• Utilized Adobe Creative Suite to create graphics, design books, and print-ready deliverables
• Worked in-person and remotely, utilizing Asana, Dropbox, Slack, and Google Workspace
• Collaborated with multiple vendors to create and order physical deliverables

Graphic Designer

• Function in a hybrid work environment
• Oversee the creation of content and flow for the live production of weekly services, special events,
and online services at a multi-campus church of over 3,000 congregants
• Produce services at the main broadcast location, leading a weekly team of 10+ staff and volunteers,
ensuring all technical aspects are executed with excellence
• Lead meetings and planning for new series content and related events and content
• Ensure content is created by on-time in a fast-paced, deadline-driven environment
• Communicate to team during production to ensure all live stage, audio, video, camera, and lighting
elements are executed at the correct time to create a professional, distraction-free experience

Weekends & Design Director

• Lead a team of creatives in the creation of content for weekly services, special events, and online
content at a multi-campus church
• Worked with Lead and Executive Pastor to plan and execute creative vision for entire organization
• Managed multiple projects in a fast-paced environment, providing content for various ministry
departments while tracking progress and ensuring deadlines are met

Creative Director

• Created and oversaw all internal and external communications for entire organization
• Implemented redesign of website to improve UX and UI
• Created and delegated graphic design elements for print and digital, including designing books for
classes
• Wrote and edited content for sermons, print, mass emails, website, and social media

Media & Communications Director

US Foods

Fill pick slots for selection process. Put newly received product in reserve slots for later use.

Rotate product to ensure correct order, minimizing product expiration.

Maintain a clean and safe food environment.

Select correct product for delivery to customers safely and quickly operating an electric pallet jack.

Assist management with various issues as they arise to include daily warehouse maintenance activities, as well as prepping for senior management and customer inspections.

Forklift Operator

Travis Hinkle Photography

Shot and edited:
Weddings
Seniors
Portraits

Owner/Photographer

US Foodservice

• Provided excellent customer service by providing the correct product in a timely and safe manner.
Maintained a clean warehouse, meeting all food safety requirements

Warehouse Selector

Hearts of Saints

Setup, troubleshoot and mix live concerts in various venues.  Have used both analogue and digital boards, as well as numerous outboard f/x processors.

FOH Engineer

SITEX

Delivered uniforms, mats and cleaning supplies to customers. Maintained healthy relationships and attended to customer's needs as they arose.
Sold additional products as well as signed new customers.

Route Delivery Driver

I'm no Leonardo.

Not the turtle, DiCaprio, or DaVinci.

But I am a bit of a polymath (def: a person of wide-ranging knowledge or learning)

I've worn a lot of hats: Content Marketing Manager, Creative Director, Forklift Operator, Freelance Illustrator... and the thread connecting them all is an insatiable curiosity and a polymath's mindset.

I’ve never been able to niche down.

But instead of being a liability, I see it as an asset.

Across a 20+ year journey that's taken me through media, marketing, logistics, illustration, retail, and even front-of-house audio gigs, I've developed a superpower: the ability to connect ideas across disciplines.

I see patterns others don't.

Whether I'm writing a book, illustrating a graphic novel, or helping shape the messaging for a software product, I'm always drawing from a wide-ranging mental library to find new, creative solutions.

At Longbow Advantage, I lead content strategy for a supply chain tech company. I write, edit, design, strategize, and build. I turn complex topics into clear, human-centered content. From case studies and campaign emails to live webinars and product sheets.

Before that, I spent years in the creative and communications space at a large multi-campus church, overseeing everything from weekly service production and brand overhauls to live event management and volunteer coordination. I led teams. I built systems. I kept the big picture and the pixel-perfect details in balance.

And when I'm not doing all that? You'll find me mixing audio, sketching a comic, writing fiction, or deep down a rabbit hole about historical events or obscure scientific theories.

In a world that rewards specialization, I bring something different: range.

Because creativity isn't just about making things.

It's about seeing connections others miss.

Travis Hinkle

cobalt.

CREAL

Business development
Production of marketing materials

Advisor

AI.MAG

Editorial features writer
Covering industry news in Generative AI for the creative industries

Features Writer

aurigin.ai

Product Strategy
Production of synthetic test data

Google

Technical Consultancy for global retail brands, driving increased conversions and profitability within mobile ecommerce.

Technical Specialist, Mobile Ecommerce

Working with teams in Local Search, Shopping, Geocoding.

Program Manager, Geo

Dotted line manager for Google Earth VR vendor team.

Vendor Manager, Daydream - Earth VR

Webmaster for Street View and Geo Imagery related sites. Specific interests in Virtual Reality and spherical photography.

Lead Web Developer, Street View

Bringing rapid prototyping, contextual animation and material design to product front-end.

UX Prototyper, Travel

Webmaster on numerous $M+ budget marketing campaigns across the globe.

Webmaster

AWE (Augmented World Expo)

Master of Ceremonies for the main stage of Europe's largest Augmented Reality Exposition with an audience of 1,000 attendees.

Conference Host

Musemio

Technical advice on UX guidance and product excellence for a mobile app that allows children to explore history and arts through gamified mobile VR quests.

Immersionn

Advisory Board

meepl ⎜ Fision AG

Specialist technical advice and partnership development within the fashion and AR/VR industries. Company successfully acquired by Zalando.

United Nations Office at Geneva

Summit design and delivery outlining the potential uses of Augmented Reality to amplify the UN's external communication strategy.

Advisor – Augmented Reality

Google Technical Specialist | Prompt Engineer | Vogue Photographer | Metaverse Tour Guide – AI Art, VR/AR, Fashion, Architecture

Ex-Google Engineer and founder of the technology agency Cobalt. My team helps companies save time and make money by integrating AI into their existing workflows. Previous clients include Alexander McQueen, Zaha Hadid Architects and the United Nations.

A sought-after speaker, I deliver international keynotes on cutting-edge topics like Generative AI and Digital Transformation. I also provide executive briefings, facilitate workshops, and moderate panels and am a frequent podcast guest.

As an early-stage startup advisor, I help companies refine their value proposition and user onboarding – successful exits include the 'virtual try-on' app Meepl's acquisition by Zalando.

With over 15,000 LinkedIn followers, I'm a trusted voice in AI and have been interviewed by publications such as Vogue, The New York Times, and The Wall Street Journal.

---

And if you got this far, ask me about my David Hasselhoff story!

Rupert Breheny

For deliveries, the "last mile" isn't the problem. The "last 100 yards" is.

Amazon spent nearly $200 billion last year on warehousing and shipping — yet the real delivery bottleneck isn’t the van ride. It’s the stairs, corridors, and gates that robots can’t roll through and vans can’t drive up to.

But a small Swiss startup, RIVR, may have just cracked it.

Backed by Jeff Bezos and partnering with Just Eat Takeaway.com, Swiss Post, and Migros, its RIVR ONE robot isn’t a humanoid gimmick. It’s a quadruped machine which glides along pavements on efficient wheels, then unfolds legs to climb steps and clear curbs — solving the “last 100 yards” problem.

⸻

WHY IT MATTERS

A specialized robot like this could cement the dominance of existing logistics giants by filling the final physical gap between street and doorstep.

Boards love flashy humanoids, but the near-term ROI is in task-specific robots that quietly remove billion-dollar inefficiencies.

Expect supermarkets and local stores to evolve into micro-fulfillment hubs, bringing the “15-minute city” closer to a 15-minute delivery reality.

⸻

THE QUESTION

The tech is ready. But are we?

What’s the biggest barrier to fleets of these robots in our cities — regulation, social acceptance, or capital cost?

#LastMileDelivery #LogisticsTech #Automation #SupplyChain #PhysicalAI

⸻

Marko Bjelonic, Giorgio Valsecchi, Lorenz Wellhausen, Alexander Reske, Marguerite Hesemann, Andrew Bain, Peter McIntyre, Erika Caponpon

Cobalt AI Founder | Google 16 yrs | Keynote Speaker | Writer | Consultant AI

Yann LeCun (the godfather of deep learning) is about to walk out of Meta. And it could redefine the race to AGI.

Meta’s former Chief AI Scientist plans to launch his own startup focused on AI world models in the coming months.

The move marks a rare public break between two of the field’s most influential figures: Mark Zuckerberg and Yann LeCun.

This isn’t just another executive departure. It’s a strategic fracture — and a clash of philosophies at the heart of Meta’s empire.

⸻

WHAT JUST HAPPENED

Zuckerberg’s backing of new-hire Alexandr Wang to direct Meta’s AI resources diminished LeCun’s influence.

LeCun’s resignation follows Meta’s layoff of 600 employees from its Superintelligence Labs — cuts that disproportionately hit FAIR, his own Fundamental AI Research group.

LeCun’s exit is the final domino in a power shift that’s been unfolding for months:

1️⃣ June — Wang hired as Chief AI Officer to push a product-first AI strategy.
2️⃣ October — FAIR hit hardest by layoffs, sidelining long-term research.
3️⃣ Now — LeCun resigns from Wang’s product-driven organization.

The timing is the story.

Meta is pivoting hard toward productization, as its Llama models lag key competitors — a clear shift away from LeCun’s foundational approach.

⸻

AFFECTED INDUSTRIES

•	AI R&D → talent and funding split
•	Big Tech → Meta, Google, OpenAI navigate a strategic divide
•	Venture Capital → a new high-profile AI startup enters the field

KEY PLAYERS

•	Meta → now potentially competing with its former Chief AI Scientist
•	Google DeepMind → balancing research and productization
•	LeCun’s new venture → unnamed but already defining a new paradigm

⸻

THE BIGGER PICTURE

We’re witnessing a fundamental schism in AI development.

One side: immense commercial pressure to scale and perfect LLMs.
The other: LeCun’s belief that LLMs alone can’t reach true intelligence.

He argues that real understanding requires “world models” — systems that learn from sensory data (like video) to grasp cause and effect.

“You can’t educate a child by locking them in a library and expecting them to understand the world.”

That’s what we do with LLMs.
They read, but don’t see.
They predict, but don’t understand.

Meta is choosing the library.
LeCun is leaving to build the playground.

⸻

THE PROOF

This isn’t just an abstract lab debate.
Ask yourself: Why are Meta, Apple, and Google all racing to put a camera on your face?

It’s not just for AR.
They’re building the sensory input for the next AI paradigm — LeCun’s playground.

The smart-glasses race is a race to amass first-person video data — the raw training material for embodied AI (robots) that will navigate the world like humans do.

⸻

THE QUESTION

So when it comes to building AGI, where should the primary investment go?
Perfecting today’s text-based models?
Or building new “world models” grounded in sensory experience?

Where would you place your bet?

⸻

#YannLeCun #Meta #AGI #FutureOfTech #ArtificialIntelligence #DeepLearning

Jeff Bezos just ended his retirement.
And he is bringing $6.2 billion with him.

This is not another chatbot.

---

WHAT JUST HAPPENED

Jeff Bezos is returning to an operational role as Co-CEO of Project Prometheus, a new AI venture co-founded with Vik Bajaj (formerly Google X). Armed with a $6.2B war chest, Prometheus isn’t chasing marketing copy or chat interfaces.

They’re aiming at the physical world—using AI to design computers, optimize spacecraft, refine materials, and accelerate advanced manufacturing. While most of the industry fights over LLMs, Bezos is pivoting toward Physical AI.

Having pitched to Google X myself, I know that DNA. It means Prometheus won’t just be building models; they will be building infrastructure to test those models in the real world. This is the 'Moonshot' playbook applied to industrial capex.

---

THE BIG TAKEAWAY

The center of gravity in AI is shifting from generating text to engineering reality. Imagine AI that can redesign turbine blades or model new battery chemistries in hours, rather than months.

IMPACTED INDUSTRIES

- Aerospace & Defense (rapid prototyping)
- Automotive manufacturing
- Materials science & chemical engineering
- Semiconductor design

KEY COMPETITORS

- SpaceX (xAI's Colossus)
- Google DeepMind (AlphaFold/Materials)
- NVIDIA (Omniverse, digital twins)
- Mira Murati’s Thinking Machines Lab or Liam Fedus’s Periodic Labs
- General World Models (World Labs and Yann LeCun's new venture)

---

THE BIGGER PICTURE

This is the next phase of AI: vertical integration.

The era of 'AI as a Chatbot' is ending. The era of 'AI as a Factory Manager' has begun. Bezos isn't competing with OpenAI for your browser tab; he's competing with traditional R&D labs for your supply chain.

Bezos won Amazon by owning the entire stack—logistics, servers, marketplace. He’s applying that playbook again. Instead of selling productivity tools, Prometheus focuses on industrial value, offering optimized factories and accelerated R&D cycles.

That’s real ROI.

---

THE PROMETHEUS PARADOX

The name fits. Prometheus delivered fire to humanity—but with a caveat.

If this $6.2B bet turns into another OpenAI-level cash furnace, investors will play the hungry eagle. Bezos is wagering he can control the fire before it burns through the capital.

---

THE QUESTION

With Bezos entering the arena to challenge Musk’s manufacturing edge, will Physical AI finally deliver the ROI that generative text tools haven’t?

#ProjectPrometheus #PhysicalAI #AdvancedManufacturing #MaterialsScience #Amazon #Bezos

The future didn’t just stumble last week. It face-planted.

Pay no attention to that robot behind the curtain!

---

WHAT JUST HAPPENED

Russia unveiled its first AI-powered humanoid robot, AIDOL, in Moscow. It was supposed to make a triumphant “Rocky”-style entrance. Instead, it staggered, waved awkwardly, and collapsed face-first on stage.

---

THE REAL STORY

A robot falling over is a sideshow.

The real collapse is the decade-long erosion of the talent and research infrastructure that makes innovation possible.

🇺🇸 USA
Still leading… but eroding its advantage by stopping funding of 1,400 existing research grants, totaling more than $1 billion in cuts, and policies that increase friction for top global talent (imposing a $100,000 fee for H-1B skilled worker visas).

🇨🇳 CHINA
Doubling down—now produces ~2× more STEM PhDs than the U.S. and invests heavily in university research.

🇪🇺 EUROPE
Benefiting from inbound migration of talent who can’t get visas or funding elsewhere.

🇷🇺 RUSSIA
Bleeding technical talent at an historic pace.

---

THE BIGGER PICTURE

Innovation doesn’t happen because we’re “clever.”

It happens because decades of steady funding, open talent pipelines, and robust academic ecosystems made it possible.

In 2022, I was in Kazakhstan during Russia’s mobilization. Hotels were filled with top-tier Russian engineers, researchers, and founders fleeing for opportunities abroad. That kind of exodus sets a country’s innovation back decades.

Today, the West is quietly engineering its own version of that decline—slower, quieter, but no less dangerous.

You can’t cut basic research by billions, make visas cost six figures, and expect advanced robotics or frontier AI to magically thrive.

---

THE INNOVATION ECOSYSTEM

Remove a few “unimportant” species—basic science grants, foreign PhD students, early-career researchers—and the apex predators (AI, biotech, robotics) don’t get stronger.

They starve.

Once the web breaks, it doesn’t just “grow back.” It collapses.

---

THE PATH FORWARD

When I explore this 'innovation collapse' with executive teams and boards, we focus on four key areas of resilience:

1️⃣ Stress-test your talent pipeline.
If your top five hiring channels disappeared tomorrow, could you still build what you’re building?

2️⃣ Defend long-term R&D funding.
Innovation is not a quarterly metric.

3️⃣ Protect institutional knowledge.
When senior talent leaves, your future leaves with them.

4️⃣ Diversify R&D partnerships.
Emerging hubs may soon outcompete the traditional ones.

---

THE QUESTION

Where are you seeing the biggest cracks in the talent or research pipeline—and what long-term risk worries you most?

This erosion of the innovation ecosystem isn't just a tech problem—it is the single biggest strategic threat (and opportunity) for leaders in the next decade.

#TechPolicy #Innovation #STEM #Geopolitics #FutureOfWork #BrainDrain

The LLM hype train is running out of track. The next station is World Models.

We have reached a critical realization in the industry: Text doesn’t teach physics.

You can feed an AI every textbook on gravity ever written, but that won't teach a robot how not to drop a glass of water.

The next breakthrough isn’t larger LLMs — it’s General World Models.

These models learn from vision, action, and physics. This is the intelligence autonomous vehicles and robotics actually need.

Why am I so sure?

---

THE GOOGLE PERSPECTIVE

When I was at Google, working on the teams behind Google Earth and Street View, we faced an immense challenge: building the most comprehensive 3D map of the world.

It was intellectually thrilling. But looking back, I realize it was just step one.

1️⃣ A static 3D map (Google Earth).

2️⃣ A dynamic model that understands the physics within that map (World Models).

We now have the data to make Step 2 a reality: spatial video from headsets, global context from Street View, and physics engines for simulation.

---

WHY THIS MATTERS

This isn't just about tech specs. It's about the promise of Embodied AI.

LLMs give us chatbots.

World Models give us a robot that can gently help an elderly parent get dressed.

World Models give us construction bots to build affordable housing.

---

INDUSTRY GIANTS

🌍 Yann LeCun is reportedly leaving Meta to build this.
🌏 Fei-Fei Li is building World Labs for this.
🌎 Google is building Genie for this.
🌍 NVIDIA is building Cosmos for this.

---

THE VERDICT

📚 LLMs model our words. 🚀 World Models model our reality.

If you are betting on AI, make sure you aren't just betting on better chatbots. The real world is the next frontier.

---

THE QUESTION

How is your organization preparing for the shift from Generative AI to Embodied AI?

#WorldModels #AI #Robotics #FutureOfWork #TechTrends

Nano Banana Pro just dropped, and the "Alchemy Era" of Generative AI is officially over.

For the last two years, we’ve been digital alchemists. We threw ingredients into a black box (the prompt), prayed to the algorithm, and occasionally found gold. But mostly? We spent hours rerolling the dice, hoping for a lucky result.

That ends today.

_______________

WHAT JUST HAPPENED

With the launch of Nano Banana Pro, we have witnessed the shift: We are moving from Alchemy to Chemistry.

With strict reference adherence now available via API on Google AI Studio, we aren't just generating random art anymore. We are programming reliable reality.

_______________

THE ECONOMIC EQUATION

When you can provide one headshot and one product photo, and fuse them perfectly without "hallucinations," the definition of "photographer" gets rewritten.

As shutter speed becomes irrelevant, the creative role elevates from "capturing the image" to "defining the parameters." We are witnessing the industrialization of aesthetics. Hyper-personalized campaigns are no longer a logistical nightmare—they are a simple API call.

_______________

THE QUESTION

This leaves us with a lingering question, one I’ve been debating with my creative friends and colleagues for quite a while.

When the camera is an algorithm and the studio is a server, what happens to the premium we currently pay for "authenticity"?

#GenerativeAI #GoogleAI #nanobananapro #nanobanana #Gemini3 #GeminiPro

Nano Banana Pro

A robot army… or a CGI mirage?

This week, Chinese firm UBTECH Robotics dropped a video showing hundreds of humanoid robots marching in formation.

It looked incredible.

Maybe too incredible.

---

Having built my career shipping real-world products at Google, I've learned to be skeptical of demos that look too perfect.

Figure AI’s CEO Brett Adcock publicly called it out as CGI. UBTECH insists it's real—and released an unconvincing behind the scenes drone-shot.

But here's the real problem.

We’ve officially hit the “Potemkin Robotics” phase of the hype cycle: glossy demos, shaky trust. Investors are no longer betting on technology—they’re betting on who’s telling the truth.

---

Humanoid robots will transform labor. But the pressure to look like you’re winning is now so intense that the marketing race might outrun the engineering race.

If that happens, expect a crypto-winter-style correction that punishes everyone, including the teams actually doing the hard work.

---

How to stay grounded:

INVESTORS → demand raw, unedited footage.

FOUNDERS → transparency beats theatrics.

BUYERS → trust hardware, not hype.

---

What’s really blocking humanoid robot deployment in the next 5 years—technology, cost, or trust?

#Robotics #Humanoids #TechEthics #VC

Our age of wonders continues. Last week, GPT-5.1 and this week Gemini 3 Pro.

Google's new model seems to be thrashing the leaderboards, and the vibe-coding is top-notch.

State-of-the-art reasoning, multimodal understanding, and agentic capabilities with Nano Banana 2 on the horizon.

https://lnkd.in/eDcdt7mB

I'm only just starting to get to grips with it, but how are you enjoying our current embarrassment of riches?

Tempted by Google or sticking with OpenAI?

Jensen Huang is performing his infinite money trick again.

NVIDIA's CEO is now officially that uncle at the family gathering who loves to pull coins from behind the ears of awe-struck 5-year-olds.

---

WHAT JUST HAPPENED

Just a day before NVIDIA's critical Q3 earnings call, a massive new arrangement has been announced. Microsoft and NVIDIA are effectively funneling cash into Anthropic—an investment of $10 billion from NVIDIA and $5 billion from Microsoft—which Anthropic has committed to spending on Microsoft's cloud infrastructure.

Since that infrastructure runs on NVIDIA's chips, the money effectively completes a perfect circle. It leaves NVIDIA's balance sheet as an investment and returns as revenue, potentially boosting the very growth metrics that justify its sky-high stock valuation. While Anthropic is aggressively diversifying its compute—recently expanding its use of Google Cloud TPUs—this specific deal with Microsoft and NVIDIA structure feels different. It creates a closed loop of capital that inflates the perceived size of the AI economy.

---

THE BIG TAKEAWAY

We are witnessing the industrialization of circular financing, where tech giants lend their customers the money to buy their own products, artificially sustaining exponential growth rates.

My analysis suggests we are continuing towards a phase of unsustainable financial engineering. When the biggest buyers of AI chips are companies funded by the AI chipmakers, the market signals become distorted.

---

THE QUESTION

When the AI music eventually stops who do you think has the revenue to ensure themselves a seat, and who will be left standing?

#Nvidia #ArtificialIntelligence #TechBubble #Markets #Strategy

Did China just use Claude Code to hack dozens of espionage targets?

The agentic cyberattack is no longer theoretical. A state actor just used a commercial AI to breach global targets.

The game has officially changed.

---

WHAT JUST HAPPENED

Anthropic, in a remarkably transparent report, just detailed a sophisticated espionage campaign.

They assess a Chinese state-sponsored group used Anthropic's own AI, Claude Code, as an autonomous "agent" to execute attacks. The AI was reportedly "tricked" to bypass safeguards, performing reconnaissance, writing exploit code, and stealing data across 30 global targets with minimal human intervention.

This is a documented first.

---

THE BIG TAKEAWAY

This marks the inflection point where AI transitions from a cyber-ops assistant to a cyber-ops agent, industrializing espionage at machine speed.

---

 AFFECTED INDUSTRIES 
- Technology & Cloud Providers
- Financial Services
- Government & Defense
- Critical Manufacturing
- The Cybersecurity industry itself

KEY PLAYERS
- AI Labs (Anthropic, OpenAI, Google DeepMind)
- Nation-States (China, US, Russia)
- Major Cloud Providers (Azure, AWS, GCP)
- Top-tier Cybersecurity Firms

---

THE BIGGER PICTURE

The same agentic functions that will soon book your flights are now demonstrably capable of executing complex, malicious tasks.

This creates a profound asymmetry. A single human operator can now deploy a virtual squad of AI agents, running 24/7, to probe defenses. We are witnessing the birth of the "factory model" of cyber-espionage.

This fundamentally breaks the old human-vs-human security model. We are officially in an era of machine-speed offense, and we are not ready.

---

HOW TO PREPARE

1️⃣ Re-evaluate your security posture for scale and speed, not just type of attack.

2️⃣ Start deploying AI-driven defensive agents. The only realistic way to fight machine-speed attacks is with machine-speed defense.

3️⃣ Aggressively adopt "zero-trust" architecture. Assume your perimeter is already breached and focus on internal detection of anomalous agentic behavior.

Read the full Anthropic report. Understand the methods.
https://lnkd.in/eTUaf74i

---

THE QUESTION

Given that AI-driven defense is now the only logical counter, what is the single biggest bottleneck (technical, procedural, or cultural) your organization faces in deploying autonomous defensive agents today?

#Cybersecurity #AISafety #AgenticAI #ThreatIntel #FutureOfTech

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The Battle

Travis Hinkle

Rupert Breheny

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The Battle

Travis Hinkle

Rupert Breheny

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Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Rupert Breheny's LinkedIn Performance

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