CapiscIO

Startup Row at PyCon US 2026 is a wrap ~ and what a year it was! This program exists because the Python community believes in builders, and it is my honor to celebrate this year's cohort of eight companies taking eight bold bets on what Python can do next: Arcjet · CapiscIO · Chonkie · Pixeltable · SubImage (YC W25) · Tetrix · TimeCopilot · Phemeral Deep gratitude to the Python Software Foundation, our partners, the sponsors, my co-organizer Jason D. Rowley, and to every founder, volunteer, and attendee who makes PyCon the most human conference in tech. Here is to the ones building in public, shipping with purpose, giving back through open source, and doing it all in Python 🐍 #StartupRow #PyConUS #Python #Startups #OpenSource #AI #Innovation #Community https://lnkd.in/gbqqAWSN

PyCon was incredible! 🚀🐍 Our official brand and product launch was a HUGE success and exceeded even our wildest expectations. The steady flow of traffic to our booth in Startup Row was overwhelming! PyCon is a deeply collaborative event with serious builders asking tough questions, and we’re proud to say that we had the answers. Congratulations to our giveaway winners Santos and Nimisha! Enjoy your new AirPods and thank you to everyone who participated. Our deepest thanks to the Python Software Foundation for this incredible opportunity. See you all again next year! #pyconus2026

Every agent in your system is making decisions. Do you know exactly which one just updated a support ticket and why? Your agents are calling APIs. Triggering workflows. Spawning sub-agents. Moving data across boundaries. But here is what most systems cannot answer: who is this agent, and how do we know? Not the service it runs on. Not the user who deployed it. The agent itself. Human identity infrastructure gives us usernames, sessions, and service accounts. Those primitives were designed for humans and static services operating within known boundaries. Autonomous agents are neither. An agent can be spun up dynamically, operate across organizational boundaries, act without a human in the loop, and delegate tasks to other agents it spawns mid-flight. The identity model underneath needs to reflect that reality. At CapiscIO we believe every agent needs a cryptographic identity that is native to it. Not borrowed from the user who created it. Not inherited from the service it runs on. Its own verifiable, portable, tamper-evident identity. That is the foundation everything else is built on. Delegation. Trust. Accountability. Without it you are not governing agents. You are guessing. Learn more at Capisc.IO

From our friends over at NHI Mgmt Group and Entro Security doing awesome work 💪 Looking forward to supporting the NHI AI Summit in NYC. See you soon!

Something exciting is brewing… stay tuned for updates 🚀

Reposting because this is the governance question of our time. If the same organizations that build and monetize frontier AI also define “safe enough,” we do not have external control. We have narrative. At scale, narrative is not a safeguard.

You can’t govern what you don’t understand. AI governance is drifting toward policy fluency without architectural grounding. Frameworks and certifications are useful. But governance that isn’t implementation-aware will always trail the systems it claims to oversee. Risk in modern AI systems lives in execution paths, identity boundaries, orchestration layers, and runtime decisions. If controls cannot be mapped to architecture, traced across agents, and verified at enforcement points, governance remains descriptive. At CapiscIO, we focus on the infrastructure layer that makes governance enforceable. Identity-bound agents. Cryptographic trust signals. Policy enforcement that operates inside the system, not above it. Operationalized governance isn’t a slide deck. It’s constraint embedded in architecture. That shift from documentation to enforcement is where this category is headed.

🚀 Excited to announce the release of CapiscIO A2A Security v0.1.0 — the first open-source security middleware built specifically for Google's Agent-to-Agent (A2A) protocol. As AI agents become enterprise infrastructure, security can't be an afterthought. With AI-driven cybercrime projected to cost $15 trillion by 2030, organizations need runtime protection that works from day one. That's what we've built. ✅ Message validation & protocol compliance ✅ Rate limiting & threat protection ✅ One-line integration: secure(MyAgentExecutor()) ✅ Free, open-source (Apache 2.0) Version 0.1.0 is the foundation. We're building toward a complete trust platform for agent networks: observability, governance, and trust infrastructure launching through 2026. The A2A protocol (backed by Google, Salesforce, ServiceNow, SAP, Intuit + 50 partners) solves interoperability. We're solving trust. pip install capiscio-a2a-security

Right now, anyone can publish an AI agent. No rules. No checks. No trust required. But that won’t last. The A2A ecosystem is in its wild west phase. Everyone’s shipping agents with zero validation. 🚨 No verified domains 🚨 Inaccurate or missing metadata 🚨 No scope enforcement 🚨 Zero auditability It’s a black box explosion. And it’s creating real risk. But here’s what’s coming... fast: ✅ Curated registries ✅ Trust-based routing ✅ Verified discovery ✅ Compliance expectations In this next phase, unverifiable agents won’t be called "autonomous", they’ll be called irrelevant. Don’t wait to get excluded. Start validating now. Use our open-source A2A Agent Validator CLI to check your agent against core trust signals: npx capiscio-cli validate "https://example.com/my-awesome-agent" No trust layer? No invite to the network.