🔐 Agents Need Privacy

SKALE Network has launched **Programmable Privacy**, a new feature enabling confidential transactions for AI agents. **Key developments:** - AI agents can now make private payments without broadcasting every transaction on-chain - Built on SKALE's Confidential MPP (Multi-Party Payment) system - Integrates with Stripe and Tempo for real-world payment processing - Addresses growing need for privacy as AI agents increasingly handle financial transactions The solution tackles a critical challenge: as AI agents become more autonomous in managing money, they require privacy protections similar to traditional financial systems. SKALE's approach allows agents to transact confidentially while maintaining the security benefits of blockchain technology. This builds on SKALE's existing infrastructure of zero gas fees and fast finality, now adding a privacy layer specifically designed for the emerging agent economy. [Read the full technical details](https://www.skale.space/blog/progammable-privacy)

SKALE has become a Founding Partner of the AI & Agentics Council, joining organizations including Blockchain Game Alliance, DMCC Authority, Deloitte, Xsolla, and The Sandbox Game. The council aims to develop infrastructure and standards for autonomous AI systems. This partnership positions SKALE to contribute to the foundational framework needed for next-generation AI agents. The move aligns with SKALE's recent integration of ThoughtProof, which brings independent verification capabilities to autonomous systems on the network.

SKALE Network has launched **Conditional Transactions**, a feature designed to change how AI agents execute blockchain operations. Instead of immediate execution upon submission, these transactions wait for specific predefined conditions to be met before executing automatically. The system keeps transaction data **encrypted onchain** until execution conditions are satisfied. This approach addresses a key challenge in agent-driven markets: the need for private strategy execution. By allowing encrypted data to remain onchain and only decrypt when conditions are met, agents can operate more effectively without revealing their strategies prematurely. The feature represents a building block for more sophisticated AI agent operations in decentralized environments, enabling automated execution based on market conditions, price triggers, or other predetermined parameters. Learn more about Conditional Transactions at [SKALE's blog](https://blog.skale.space/blog/what-conditional-transactions-ctxs-mean-for-ai-agents).

**Hyre Agent has launched on SKALE**, introducing real-time DeFi intelligence directly into agent workflows. The platform transforms how agents access and act on DeFi data: - Provides **instant access** to actionable DeFi insights - Integrates intelligence **directly into agent operations** - Enables **immediate execution** based on real-time data This follows SKALE's recent integration with AdEx Network's AI agent framework in March, continuing the network's focus on bringing intelligent data analysis tools to web3. [Read the full announcement](<https://www.skale.space/blog/hyre-agent-launches-on-skale-real-time-defi-intelligence-for-the-agentic-economy>)