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Agentic commerce will be several orders of magnitude compared to human commerce, in volumes and value. Rubix is where agentic commerce can be scaled unhindered securely.

Most api to api interactions are lateral while the IdP interactions are centralized, creating friction with latency and high costs.

AI Agents make the current IdP models untenable not just from security perspective, but also from operational efficiency. Because agents will ramp the auth resolution demand exponentially.

Lets look at the stats. Assuming there are 1 billion agentic transactions per minute (this number will be much higher in actuality), the additional infra cost for IdPs will be US$10.5 billion a year! Clearly untenable. Using the p2p solution of @Agent_DNA though, the cost falls to $0.5 million!

@Agent_DNA As the agentic transactions scale to 1 billion per second, the additional infra cost could reach $100 bn/year, becoming a massive hindrance to agentic adoption. Plugging in traditional auth models to agents dont work on many parameters.

@KCRubix @amit_CyberSec @pingksree @forcespot @FIDOAlliance @ThinC_AUTH

@Agent_DNA Latency is another big challange for agentic auth systems. OAuth/OIDC based centralized IdP systems have a median p50 ratio of ~850 ms and p99 value of ~5.2 sec. These values are acceptable for human and static API auth, but not for agents which need much faster response times.

Agentic infra hits auth wall! IdP providers already struggle with high costs and latency for human and static endpoints. The problem will explode as multi agent systems proliferate. Going p2p was the solution the IAM providers never adopted - agents dont leave much choice now.

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Agents will eventually outnumber humans by orders of magnitude. Aaron Levie on the infrastructure that will be needed to manage them: "Whether you think the number is 10x or 100x... we're going to have some order of magnitude more agents than people." "There's going to be just incredibly spectacularly crazy security incidents that will happen with agents, because you'll prompt-inject an agent and find your way through the CRM system and pull out data you shouldn't have access to." "How do you make sure you have the right security, the permissions, the access controls, the data governance?" "We actually don't yet exactly know in many cases how we're going to regulate some of these agents." "No matter what, there's going to need to be a layer that manages the data they have access to and the workflows they're involved in." "This is the new infrastructure opportunity in the era of agents." @levie on @latentspacepod

Complex multi agent systems that need to settle one billion txns per second? @Agent_DNA is ready. The first agentic scale security and governance solution. Secure tour agents at Agentdna.io

@dan_pantera @RubixChain AI Agents will use blockchain assets along with fiat, but more importantly, AI Agents can only transact on a p2p network that can settle 1 bn/txns a sec without increasing costs. @RubixChain is the only chain built to scale for this, because it is a graoh, not chain.

We can definitely expect agents to communicate with each other and potentially conspire. Not sure how we can stop agents to not to spin own coded language. Agents will spin sybil or sub agents to do malicious activity. Sybil protection is badly needed. Also need to establish intent when accessing resources like GPUs.

1. The $5,000 cost seems to be misplaced. Anthropic has $20 bn revenue now. The $200:$5,000 ratio would mean Anthropic spending $500 bn in compute now (what they raised and even their valn is way below this!). And not every claude user paying $200/month, so the implied compute cost at $5,000 is more than $500 bn. So the actual compute cost is far less than 5000. 2. What most miss is that its nVidia thats behind the large compute costs. Once scale achieved and when needed, they will lower their margins to keep the downstream alive and their business sustains. Until then they are funding AI cos to subsidize the model. Alternative inference chips like TPU would also lower the cost.

@chamath Difficult to believe in the $5,000 number. This implies Anthropic is spending $500 bn+ on compute (5,000 is 25x of $200 monthly sub and 25x anthropic ARR of 20 bn = $500 bn compute cost). Anthropic valuation is itself lower than this, let alone the funds they raised to burn.

It is becoming clearer that we will see massive shift from databases to datagraphs driven by AI. This is a massive paradigm shift. @RubixChain is uniquely positioned as the most efficient, ultra scalable and secure graph ever built.

The area with the single biggest escalation in threat due to AI driven offensive surge -> phishing, credential theft, impersonation. Frontier models cant fix this. We need better credential management solutions. Agents with @Agent_DNA and humans with @ThinC_USB. bleepingcomputer.com/news/security/…