VANTA Blog

Research, updates, and deep dives on private infrastructure for autonomous AI agents on Solana.

May 28, 2026 · 6 min read

Introducing VANTA: Private Infrastructure for AI Agents

AI agents are becoming autonomous financial participants on Solana. Every transaction they make is public. Competitors can front-run, copy strategies, and extract MEV. VANTA fixes this.

#privacy #solana #ai-agents
May 25, 2026 · 5 min read

Why AI Agents Need Privacy

$400M+ lost to MEV on Solana annually. AI agents amplify the problem: they trade faster, more predictably, and at higher frequency. Without privacy, agent strategies become public goods.

#mev #privacy #solana
May 22, 2026 · 4 min read

VANTA SDK Beta: Build Private Agents in Minutes

The VANTA SDK is now in beta. Install, initialize, and start building privacy-preserving AI agents with a few lines of code. Three privacy tiers to match your threat model.

#ai-agents #privacy #solana
May 28, 2026 · 6 min read

Introducing VANTA: Private Infrastructure for AI Agents

#privacy #solana #ai-agents

AI agents are no longer theoretical. They trade, rebalance portfolios, manage liquidity positions, and execute complex multi-step strategies across Solana — autonomously, 24/7, with minimal human intervention.

This is a paradigm shift. But it comes with a fundamental vulnerability that nobody has solved.

The Transparency Problem

Every transaction on Solana is public. Every swap, every position adjustment, every strategy execution is visible to anyone watching the mempool or parsing on-chain data.

For human traders, this is annoying. For AI agents, it's catastrophic.

Here's why: AI agent strategies are deterministic and repeatable. Once a competitor observes an agent's pattern — its entry signals, position sizing, exit triggers — they can replicate it with near-zero effort. Worse, they can front-run it.

  • Strategy extraction: Competitors reverse-engineer agent behavior from on-chain data and clone it in hours
  • MEV attacks: Searchers sandwich agent transactions, extracting value on every trade
  • Signal decay: The moment a profitable strategy goes public, its alpha decays to zero

The result: AI agents operating on transparent blockchains are subsidizing their own competition.

VANTA: Encrypt First, Verify Later

VANTA is a protocol-level privacy layer designed specifically for autonomous AI agents on Solana. It introduces three core primitives:

  • Encrypted Intent Relay — Agent intents (what they want to do) are encrypted before entering the network. No one — not validators, not searchers, not other agents — can see the intent until after execution.
  • Zero-Knowledge Verification — ZK proofs verify that encrypted intents are valid (sufficient balance, correct parameters, no protocol violations) without revealing their contents.
  • MEV Shield — Transactions are routed through a private ordering mechanism that eliminates sandwich attacks and front-running. Agents get fair execution prices.
Privacy isn't about hiding. It's about preserving the value of autonomous computation in an adversarial environment.

How It Works

The flow is straightforward:

  1. Agent encrypts its intent using VANTA SDK — the intent specifies what the agent wants to do (swap, LP, bridge) without broadcasting parameters
  2. ZK circuit validates the intent — proves it's well-formed and the agent has the resources to execute, without decrypting
  3. MEV-protected execution — the intent is decrypted and executed inside a protected environment where ordering manipulation is impossible

The entire pipeline adds less than 200ms of latency. For agents operating on second-to-minute timeframes, this is negligible.

What's Next

We're building in public, shipping fast, and keeping the feedback loop tight:

  • Testnet launch — Live testnet with encrypted intent relay and basic ZK verification. Open to all developers.
  • SDK beta — TypeScript and Python SDKs for building privacy-preserving agents. Drop-in integration with existing agent frameworks.
  • Token details — The VANTA token will power the protocol's economic layer — staking, fee distribution, and governance. Details coming soon.

Stay updated on VANTA's development. Follow us on Twitter for announcements, technical deep dives, and early access.

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May 25, 2026 · 5 min read

Why AI Agents Need Privacy

#mev #privacy #solana

Let's talk about a number that should alarm every agent developer: $400 million. That's the conservative estimate of value extracted through MEV on Solana annually — sandwich attacks, front-running, back-running, and cross-domain arbitrage at the expense of regular users.

Now add AI agents to the mix. Agents that trade faster, more frequently, and with patterns that are far more predictable than human traders. The MEV problem doesn't just persist — it accelerates.

The Agent Amplification Effect

Human traders are noisy, inconsistent, and hard to model. Their behavior is influenced by emotion, distraction, and varying conviction. MEV searchers can extract value from humans, but it requires effort.

AI agents are the opposite. They are:

  • Deterministic — Same inputs produce same outputs. Observe an agent for a day, predict its behavior for a month.
  • High-frequency — Agents trade on every signal, creating more opportunities for extraction per unit time.
  • Pattern-bound — Agent strategies are codified logic. Once identified, the pattern repeats until the strategy is deprecated.
  • Capital-dense — Agent-managed capital is growing exponentially. More capital per entity means more value per extraction.

The result is a perverse dynamic: the better your agent performs, the more value it leaks to MEV searchers. Alpha becomes a subsidy for adversaries.

Without Privacy, Agent Strategies Are Public Goods

This is the fundamental insight: on a transparent blockchain, agent strategies are not intellectual property. They are public signals.

Anyone can observe your agent's on-chain footprint, reconstruct its logic, and deploy a copy — or worse, deploy a predatory version that front-runs the original. There is no moat, no competitive advantage, no defensibility.

For the agent economy to function, agents need the same thing that companies in traditional markets have always had: the ability to keep their strategy private while still proving they're operating fairly.

VANTA's Approach: Encrypt First, Verify Later

VANTA doesn't try to obscure transactions after the fact. It encrypts agent intents before they ever touch the public mempool. The verification happens via zero-knowledge proofs — mathematical guarantees that the intent is valid, without revealing what it contains.

This is a fundamentally different model from:

  • Mixers — which anonymize token flows but don't protect strategy logic
  • Private mempools — which rely on trusted intermediaries (centralization risk)
  • Delayed revelation — which still exposes patterns over time

VANTA's ZK circuit design targets three properties simultaneously:

  1. Intent validity — the encrypted intent represents a well-formed transaction the agent can actually execute
  2. Balance sufficiency — the agent has the resources to back its intent, proved without revealing account balances
  3. Ordering fairness — intents are ordered by arrival time, not by bribe amount, eliminating priority auctions

Technical Preview: ZK Circuit Design

The VANTA ZK circuit uses a Groth16-based proving system optimized for Solana's transaction model. Key design decisions:

  • Commitment scheme — Poseidon hash-based commitments for intent contents, achieving ~3ms proof generation on consumer hardware
  • Range proofs — Bulletproofs-inspired range checks for balance verification without full account disclosure
  • Batch verification — Multiple agent intents verified in a single on-chain transaction, amortizing verification costs across the batch

We'll publish the full circuit specification alongside the testnet launch. The proving system will be open source from day one.

The agent economy needs private infrastructure. VANTA is building it. Follow our progress and get early access to the SDK.

Follow @VANTA
May 22, 2026 · 4 min read

VANTA SDK Beta: Build Private Agents in Minutes

#ai-agents #privacy #solana

Today we're releasing the VANTA SDK in public beta. If you're building autonomous agents on Solana — trading bots, portfolio managers, DeFi strategists — you can now add protocol-level privacy in under 10 lines of code.

Installation

The SDK is available on npm and PyPI:

# npm
npm install @vanta/sdk

# pip
pip install vanta-sdk

Quick Start

Here's a minimal example — encrypting a swap intent and submitting it through VANTA's private relay:

import { VantaClient, PrivacyTier } from '@vanta/sdk';

// Initialize client with your agent's keypair
const vanta = new VantaClient({
  keypair: agentKeypair,
  rpcUrl: 'https://api.mainnet-beta.solana.com',
  privacy: PrivacyTier.STEALTH,
});

// Create an encrypted swap intent
const intent = await vanta.createIntent({
  action: 'swap',
  inputMint: USDC_MINT,
  outputMint: SOL_MINT,
  amount: parseUnits('1000', 6),
  slippage: 0.5,
});

// Submit through private relay — ZK proof generated automatically
const result = await vanta.submit(intent);
console.log('Executed privately:', result.txHash);

That's it. The SDK handles encryption, proof generation, relay submission, and execution monitoring under the hood.

Privacy Tiers

Not every agent needs the same level of privacy. VANTA offers three tiers, each with different trade-offs between privacy, latency, and cost:

  • STANDARD — Intent encryption with basic MEV protection. Fastest execution (~50ms overhead). Best for agents with high-frequency, low-value trades where speed matters more than deep privacy.
  • STEALTH — Full intent encryption + ZK balance proofs + order fairness. Moderate overhead (~150ms). The default tier. Suitable for most trading agents and portfolio managers.
  • PHANTOM — Maximum privacy. Encrypted intents, ZK proofs, route obfuscation, and timing decorrelation. Higher latency (~400ms) and cost. Designed for institutional agents managing significant capital where strategy leakage is existential.

Switching tiers is a one-line config change:

const vanta = new VantaClient({
  // ...other config
  privacy: PrivacyTier.PHANTOM,
});

What's in the Beta

The beta includes:

  • Full TypeScript and Python SDK with type definitions
  • Encrypted intent creation for swap, limit order, and LP operations
  • All three privacy tiers
  • Testnet relay infrastructure with 99.9% uptime SLA
  • CLI tools for monitoring, debugging, and intent inspection
  • Integration examples for popular agent frameworks (LangChain, AutoGPT, custom)

Mainnet support and additional DeFi primitives (bridging, perpetuals, options) are on the roadmap for Q3.

Join the beta. Build private agents. Shape the protocol with your feedback.

Follow @VANTA for Beta Access