Kindo

The AI-Powered Operations Harness - Secure, Integrated, and Under Your Command

[Engineering at Meta @Meta_Engineers]

Today we're announcing LevelUp: a free, four-week training program that takes people with no prior experience and prepares them to work as fiber technicians on data center construction sites across the US.

We built this program with CBRE because the fiber technician field, and the broader construction industry, is facing a nationwide shortage at a time when data center demand is higher than ever.

How it works:
🔧 Classroom instruction, hands-on labs + team activities covering transferable technical skills

🎓 Graduates have the opportunity to work at Meta's US construction sites through our contractor network

🤝 Open to everyone from recent high school grads to mid-career professionals

Since 2010, Meta's data center projects have supported 30,000+ skilled trade jobs during construction + 5,000+ permanent operational roles. LevelUp is about building the pipeline to keep that going.

Learn more: https://t.co/9XluD5IHbz

[J.B. @VibeMarketer_]

life when you discover an open-source model that runs 300 parallel agents, executes for 12+ hours straight, beats GPT-5.4 and opus 4.6 on multiple benchmarks... and the weights are on huggingface

[Kindo @KindoAI]

We're ready.

Find us at booth 2156 — live demos running all day showing you how to build and deploy security agents with actual controls behind them.

Come by. #RSAC

[Kindo @KindoAI]

@lopp Feature not a bug.

[Kindo @KindoAI]

We're days away from #RSAC2026!

Booth #2156 -- see Kindo detect and respond to AI swarm attacks in real time, before your team gets the alert.

SOC, red team, and identity security agents live at the booth.

Schedule your demo: https://t.co/06FKZeUQWJ

[Kindo @KindoAI]

Our CTO on what makes Kindo different from every other AI company at RSAC.

Booth 2156, come see for yourself!

Book a demo: https://t.co/06FKZeUQWJ

#RSAC2026

[Kindo @KindoAI]

@AdolfoUsier We'll see you there!

[Kindo @KindoAI]

LA AI builders 🦀

We're hosting an OpenClaw + Clawdbot meetup at Kindo HQ.

Charlie Hulcher (Founding Engineer at Kindo) will demo how we use Clawdbot internally.

If you're building with LLMs, agents, or ML infra — come hang.

April 2 • 6–8pm
Food + drinks.

RSVP → https://t.co/tXLo3nNIGN

#AI #LLM #MLOps #LosAngelesTech #LAStartup

[Kindo @KindoAI]

What is one thing people do not realize Kindo can do until they see it live? We asked Sean from our engineering team.

Watch the clip, then come see what he is talking about for yourself at RSAC.

Booth 2156.

#RSAC2026 #CyberSecurity

[Kindo @KindoAI]

We wrote about what this evolution of AI interfaces could look like:

https://t.co/vIUXsIvNsw

[Kindo @KindoAI]

Over the past few weeks, we’ve explored intent-centric systems and why AI may shift the control plane of the enterprise stack.

[Kindo @KindoAI]

That’s not about adding chat to an app. It’s about rethinking how coordination shows up at the point of work.

[Kindo @KindoAI]

But there’s another implication.

The interface itself can’t stay the same.

[Kindo @KindoAI]

If intent becomes the starting point for execution, governance has to be explicit and enforceable.

[Kindo @KindoAI]

We’re heading to #RSAC2026!

Kindo is the AI-Powered Operations Harness, the governed control plane where Security teams automate, execute, and verify operations inside their own infrastructure.

At RSAC, we’ll be showing how teams use Kindo to:
• Execute universal alert triage
• Reduce alert noise
• Investigate suspicious logins
• Detect risky OAuth
• Hunt ransomware
• Orchestrate the first 60 minutes

Book time:
https://t.co/YOEGUdvzVE

#AgentHarness #Cybersecurity

[Kindo @KindoAI]

We wrote about what intent-centric systems mean for security leaders and why governance maturity will define the next phase of AI adoption.

https://t.co/TE6uPryZbU

[Kindo @KindoAI]

Security teams don’t have a tooling problem.

They run SIEM, IAM, endpoint, cloud, compliance.

The real problem shows up when something actually happens.

[Kindo @KindoAI]

Enterprise AI in security must operate under:
- Explicit policy
- Enforceable approvals
- Full traceability

That’s not a feature, that’s about architecture.