Enterprise security shouldn't be the department that holds teams back; it belongs at the table powering innovation. 🛣️ Mayank Upadhyay shares how to transform security from a roadblock into an equal partner with smart, automated guardrails. Watch:

CrowdStrike and @OpenAI are expanding how we secure the agentic era. 🛡️ We’re extending CrowdStrike enterprise security to Codex agents with Falcon Guardian – and bringing OpenAI’s GPT-5.6 Cyber to the Falcon platform for advanced cyber reasoning. Together, we’re securing AI agents at the point of execution and harnessing frontier AI to help defenders assess risk and prioritize action with greater speed, precision, and scale. Secure AI is the foundation for everything AI can do for the world. Read more:

Build apps in React using your existing hooks and toolchains, and deploy them natively on Salesforce. You get enterprise security, GraphQL queries, Apex invocations, and UI APIs out of the box — zero token management required. Start building with Salesforce Multi-Framework.

BREAKING: Grok 4.6 from SpaceXAI is now available in Microsoft Foundry Models. 🤖⚡ Organizations can now build with Grok 4.6 on Foundry, compare frontier AI models, run workload-specific tests, deploy managed endpoints, and use enterprise security and governance controls. Grok 4.6 is expanding further into the enterprise AI ecosystem.

BREAKING: Grok 4.6 from SpaceXAI is now available in Microsoft Foundry Models. Build with Grok 4.6 on Foundry, where organizations can compare frontier AI models, run workload-specific tests, deploy managed endpoints, and operate with enterprise security and governance controls.

Projects Fundraising on RootData (July 6 - July 12) Last week, 10 blockchain companies/projects received funding. 💎 @PrimeIntellect — Decentralized AI protocol, raised $130M in Series A by Radical Ventures, NVIDIA, Intel Capital, Dell Capital & others. 💎 @gauntlet_xyz — Simulation platform for on-chain risk management, raised $125M in Series C led by SBI Holdings. 💎 @markets_edx — Digital asset exchange, raised $76M in Series C by SBI Holdings. 💎 @MercadoBitcoin — Cryptocurrency exchange, raised $20M in strategic round led by @tether. 💎 QIZ Security — Enterprise security platform, raised $17M in seed round by Bessemer Venture Partners, Merlin Ventures, Evolution Equity Partners & others.

The smart contracts are getting better. The ops around them aren't. @gbvpzffd2r, CTO of Hypernative, said it plainly on The Cap Room: the industry has matured on the code side with better audits, more experienced developers, more secure contract design. The gap now is in operations. AWS configurations, admin access controls, key management, jump servers: the Web 2 hygiene that enterprise security teams treat as table stakes. Hypernative came to Web3 from Web2, and that background shaped what the company built. A classic CSO walking into a DeFi team today would find a lot that looks foreign. That gap is where attackers are operating now. Learn more at

Interview with an industry expert on why hyperscalers remain the right choice for sensitive workloads ( $AMZN, $MSFT, $GOOGL, $CRWV ): - The expert highlights a new approach to data platform modernization that replaces traditional data engineering with agentic packages built with AI labs, to avoid spending months and millions of dollars building out hundreds of ETL and analytic data products the conventional way. The engagement typically runs one to two years, covering platform setup, installation of agentic packages, and training the client's team, after which the client decides whether to take operations in-house, bring in another partner, or continue the relationship. - The expert notes that the expected shift toward open source models never materialized. Until now, frontier models with strong reasoning capabilities have consistently outperformed open source alternatives when layered with agents, and the market moved toward agentic adoption rather than fine-tuning. - On cost, the expert explains that open source models require procuring GPUs, training, deploying, and managing clusters that run 24/7, making the economics only favorable at very high API call volumes that most enterprise use cases have not yet reached, leaving pay-as-you-go frontier models as the more practical choice at current scale. - Security and compliance present another barrier, with most large organizations having legal and security teams that have not approved open source or Chinese models for use on actual customer data. Frontier models from Anthropic and OpenAI have a clear advantage here as they are natively integrated within major cloud providers like AWS and Azure, making them far easier to clear through enterprise security policies. - The expert emphasizes that enterprise AI adoption is still in very early stages, with most Fortune 500 companies having done a handful of POCs but very few having actually deployed full-scale agentic solutions in production. Confidence is low, adoption is low, and the expert sees an enormous amount of runway still ahead, both for large enterprises and the broader mid-market. - The expert believes hyperscalers remain the right choice for sensitive workloads given their established security and data privacy frameworks, while newer neoclouds are being engaged for different, less sensitive types of workflows. The distinction matters because the kind of work being put through neoclouds is significantly different from what runs through hyperscalers, reflecting a practical split based on security requirements rather than performance preferences.