Apiiro

🌊 Thomas Dohmke 𝐡𝐞𝐥𝐩𝐞𝐝 𝐭𝐡𝐞 𝐅𝐨𝐫𝐭𝐮𝐧𝐞 500 𝐦𝐚𝐤𝐞 𝐀𝐈 𝐰𝐫𝐢𝐭𝐞 𝐜𝐨𝐝𝐞 𝐚𝐭 𝐬𝐜𝐚𝐥𝐞. 𝐍𝐨𝐰 𝐡𝐞 𝐣𝐨𝐢𝐧𝐬 𝐀𝐩𝐢𝐢𝐫𝐨 𝐭𝐨 𝐡𝐞𝐥𝐩 𝐦𝐚𝐤𝐞 𝐀𝐈 𝐠𝐮𝐚𝐫𝐝 𝐜𝐨𝐝𝐞 – 𝐩𝐫𝐞𝐯𝐞𝐧𝐭𝐢𝐧𝐠 𝐫𝐢𝐬𝐤𝐬 𝐛𝐞𝐟𝐨𝐫𝐞 𝐭𝐡𝐞𝐲’𝐫𝐞 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐞𝐝 𝐚𝐧𝐝 𝐦𝐚𝐤��𝐧𝐠 𝐒𝐞𝐜𝐮𝐫𝐞-𝐛𝐲-𝐃𝐞𝐬𝐢𝐠𝐧 𝐫𝐞𝐚𝐥 𝐚𝐭 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐬𝐜𝐚𝐥𝐞. After bringing GitHub Copilot to 26𝐌 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬 and 90% 𝐨𝐟 𝐭𝐡𝐞 𝐅𝐨𝐫𝐭𝐮𝐧𝐞 100, Thomas is joining Apiiro – and he captures the shift perfectly: “𝐖𝐡𝐞𝐧 𝐀𝐈 𝐌𝐨𝐝𝐞𝐥𝐬 𝐌𝐞𝐞𝐭 𝐭𝐡𝐞 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐆𝐫𝐚𝐩𝐡… 𝐀𝐈 𝐜𝐚𝐧 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐞 𝐒𝐞𝐜𝐮𝐫𝐞-𝐛𝐲-𝐃𝐞𝐬𝐢𝐠𝐧 𝐜𝐨𝐝𝐞 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐅𝐨𝐫𝐭𝐮𝐧𝐞 500.” Thank you Business Insider and Alistair Barr for the deep coverage. 💡 𝐓𝐡𝐞 𝐢𝐧𝐬𝐢𝐠𝐡𝐭: Apiiro connects directly to a company’s source code manager (SCM) and builds a real-time 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐆𝐫𝐚𝐩𝐡 – enriching AI models with software architecture, organizational policies, and runtime context they’ve never had. This is what finally enables 𝐒𝐞𝐜𝐮𝐫𝐞-𝐛𝐲-𝐃𝐞𝐬𝐢𝐠𝐧 𝐜𝐨𝐝𝐞 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 and 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐜 𝐫𝐢𝐬𝐤 𝐩𝐫𝐞𝐯𝐞𝐧𝐭𝐢𝐨𝐧 𝐚𝐭 𝐬𝐜𝐚𝐥𝐞. As former GitHub CEO, Thomas helped define how modern software is built. Now he’s helping define how it will be 𝐬𝐞𝐜𝐮𝐫𝐞𝐝 𝐛𝐲 𝐝𝐞𝐬𝐢𝐠𝐧. Traditional AppSec wasn’t built for the AI era. 𝐀𝐩𝐢𝐢𝐫𝐨 𝐢𝐬 𝐥𝐞𝐚𝐝𝐢𝐧𝐠 𝐭𝐡𝐞 𝐬𝐡𝐢𝐟𝐭 𝐭𝐨 𝐭𝐡𝐞 𝐞𝐫𝐚 𝐨𝐟 𝐩𝐫𝐞𝐯𝐞𝐧𝐭𝐢𝐨𝐧 – 𝐰𝐡𝐞𝐫𝐞 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐡𝐚𝐩𝐩𝐞𝐧𝐬 𝐚𝐭 𝐭𝐡𝐞 𝐝𝐞𝐬𝐢𝐠𝐧, 𝐛𝐞𝐟𝐨𝐫𝐞 𝐜𝐨𝐝𝐞 𝐞𝐱𝐢𝐬𝐭𝐬, 𝐧𝐨𝐭 𝐚𝐟𝐭𝐞𝐫 𝐢𝐭’𝐬 𝐬𝐜𝐚𝐧𝐧𝐞𝐝. 🚀 The future of AppSec starts with guarding AI before it generates code – seamless for developers, built for enterprise scale, and ready for the Fortune 500. 👉 𝐑𝐞𝐚𝐝 𝐭𝐡𝐞 𝐚𝐫𝐭𝐢𝐜𝐥𝐞. https://lnkd.in/gwRwNq8U

🚨 Security Alert 🚨 𝐀 𝐦𝐚𝐣𝐨𝐫 𝐧𝐞𝐰 𝐬𝐮𝐩𝐩𝐥𝐲 𝐜𝐡𝐚𝐢𝐧 𝐚𝐭𝐭𝐚𝐜𝐤 𝐢𝐬 𝐮𝐧𝐟𝐨𝐥𝐝𝐢𝐧𝐠 𝐚𝐜𝐫𝐨𝐬𝐬 𝐭𝐡𝐞 𝐧𝐩𝐦 𝐞𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦 — 𝐚𝐧𝐝 𝐢𝐭’𝐬 𝐞𝐬𝐜𝐚𝐥𝐚𝐭𝐢𝐧𝐠 𝐟𝐚𝐬𝐭. A new malware campaign known as Shai-Hulud 2 is spreading aggressively through npm, compromising 700+ packages and creating tens of thousands of attacker-controlled GitHub repos filled with stolen secrets. This wave is significantly more dangerous than previous variants, with several dangerous new mechanics. 🔍 𝐈𝐧 𝐨𝐮𝐫 𝐟𝐮𝐥𝐥 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬, 𝐰𝐞 𝐛𝐫𝐞𝐚𝐤 𝐝𝐨𝐰𝐧: ✔️ Why this attack is different ✔️ How the Shai-Hulud 2 attack works ✔️ How security teams should respond ✔️ Key indicators of compromise If you’re responsible for software supply chain security, this is an attack you need to understand today — not tomorrow. 👉 Read the full blog + technical deep dive: https://lnkd.in/decn2H7b

🚀 𝐀𝐈 𝐢𝐬 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐧𝐠 4× 𝐦𝐨𝐫𝐞 𝐜𝐨𝐝𝐞 𝐚𝐧𝐝 10× 𝐦𝐨𝐫𝐞 𝐫𝐢𝐬𝐤. 𝐓𝐨𝐠𝐞𝐭𝐡𝐞𝐫 𝐰𝐢𝐭𝐡 𝐓𝐡𝐨𝐦𝐚𝐬 𝐃𝐨𝐡𝐦𝐤𝐞, 𝐅𝐨𝐫𝐦𝐞𝐫 𝐂𝐄𝐎 𝐚𝐭 𝐆𝐢𝐭𝐇𝐮𝐛, 𝐰𝐞 𝐦𝐚𝐫𝐤 𝐭𝐡𝐞 𝐬𝐡𝐢𝐟𝐭 𝐭𝐨 𝐀𝐈 𝐭𝐡𝐚𝐭 𝐩𝐫𝐞𝐯𝐞𝐧𝐭𝐬 𝐫𝐢𝐬𝐤𝐬 𝐛𝐞𝐟𝐨𝐫𝐞 𝐜𝐨𝐝𝐞 𝐢𝐬 𝐞𝐯𝐞𝐧 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐞𝐝. 👤 Thomas Dohmke – former CEO of GitHub and the driving force behind GitHub Copilot’s global adoption across 26M+ developers and 90% of Fortune 100 – is joining Apiiro as a Strategic Advisor. Thomas helped the world embrace AI-generated code at scale. Now, together, we’re taking on the next frontier: 𝐆𝐮𝐚𝐫𝐝𝐢𝐧𝐠 𝐀𝐈 𝐭𝐨 𝐩𝐫𝐞𝐯𝐞𝐧𝐭 𝐫𝐢𝐬𝐤𝐬 𝐛𝐞𝐟𝐨𝐫𝐞 𝐜𝐨𝐝𝐞 𝐢𝐬 𝐞𝐯𝐞𝐧 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐞𝐝. Software development has fundamentally shifted. AI-assisted “vibe” or agentic coding lets enterprises develop and deliver software  faster — but also deliver 4× 𝐦𝐨𝐫𝐞 𝐜𝐨𝐝𝐞 𝐰𝐢𝐭𝐡 10× 𝐦𝐨𝐫𝐞 𝐫𝐢𝐬𝐤. AppSec tools and processes can’t keep pace because they lack what modern AI models need most: 𝐜𝐨𝐧𝐭𝐞𝐱𝐭. 🤝 𝐍𝐨𝐰, 𝐀𝐈 𝐦𝐨𝐝𝐞𝐥𝐬 𝐦𝐞𝐞𝐭 𝐭𝐡𝐞 𝐀𝐩𝐢𝐢𝐫𝐨 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐆𝐫𝐚𝐩𝐡. 𝐀𝐩𝐢𝐢𝐫𝐨 𝐛𝐫𝐢𝐧𝐠𝐬 𝐭𝐡𝐚𝐭 𝐦𝐢𝐬𝐬𝐢𝐧𝐠 𝐜𝐨𝐧𝐭𝐞𝐱𝐭. Our Deep Code Analysis (DCA) technology builds a real-time Software Graph, and a Risk Graph which overlays risks directly from any source directly onto the Software Graph. With this context, AI models generate secure and compliant code by design. With Thomas’s guidance, we’re accelerating our mission to lead the application security market and helping large enterprises innovate fearlessly in an era where AI writes code. 🔒 𝐓𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐩𝐫𝐞𝐯𝐞𝐧𝐭𝐢𝐧𝐠 𝐫𝐢𝐬𝐤𝐬 𝐛𝐞𝐟𝐨𝐫𝐞 𝐭𝐡𝐞 𝐟𝐢𝐫𝐬𝐭 𝐥𝐢𝐧𝐞 𝐨𝐟 𝐜𝐨𝐝𝐞 𝐞𝐱𝐢𝐬𝐭𝐬 𝐢𝐬 𝐡𝐞𝐫𝐞. Let’s build it together. 👉 Read the full announcement: https://lnkd.in/g8XZpeW9

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We recently partnered with R&D Brand Academy to host a hands-on CFP Workshop designed to help our R&D team share their expertise with the world 📣 From writing standout proposals to delivering compelling stories on stage, the session focused on turning deep technical insight into talks that inspire the broader AppSec and engineering community 🤝 We’re proud of the ideas being shaped inside Apiiro, and even more excited to see them represented at leading conferences around the globe. 𝐌𝐨𝐫𝐞 𝐀𝐩𝐢𝐢𝐫𝐨 𝐬𝐩𝐞𝐚𝐤𝐞𝐫𝐬. 𝐌𝐨𝐫𝐞 𝐬𝐭𝐨𝐫𝐢𝐞𝐬 𝐰𝐨𝐫𝐭𝐡 𝐭𝐞𝐥𝐥𝐢𝐧𝐠. 𝐌𝐨𝐫𝐞 𝐢𝐦𝐩𝐚𝐜𝐭. Stay tuned, this is just the beginning. 🚀

𝐈𝐭 𝐡𝐚𝐩𝐩𝐞𝐧𝐞𝐝 𝐚𝐠𝐚𝐢𝐧! 🎉 We’re featured in Gartner’s latest 𝑬𝒎𝒆𝒓𝒈𝒊𝒏𝒈 𝑻𝒆𝒄𝒉 𝑰𝒎𝒑𝒂𝒄𝒕 𝑹𝒂𝒅𝒂𝒓: 𝑨𝑰 𝑪𝒚𝒃𝒆𝒓𝒔𝒆𝒄𝒖𝒓𝒊𝒕𝒚 𝑬𝒄𝒐𝒔𝒚𝒔𝒕𝒆𝒎 (𝑶𝒄𝒕 2025), which spotlights how Agentic AI, AI Code Security Assistants, and AI Supply Chain Security are reshaping the cybersecurity landscape. The takeaway: Securing AI isn’t just about protecting models, it’s about securing the software intelligence behind them. We’re proud to be recognized among innovators securing the AI software supply chain, helping enterprises protect AI models, data, and agents across the full lifecycle.

☁️ Excited to join Google Cloud 𝐃𝐚𝐲 𝐓𝐞𝐥 𝐀𝐯𝐢𝐯! Apiiro’s Ella Bor and Igal Kreichman will take the stage with Google to showcase how AI-driven agents are transforming enterprise AppSec. They’ll present the 𝐆𝐮𝐚𝐫𝐝𝐢𝐚𝐧 𝐀𝐠𝐞𝐧𝐭 — a smart, enterprise-grade agent that gives real-time, context-aware security guidance that strengthens the organization’s security posture from code to cloud. If you’re in Tel Aviv, don’t miss it! 📍 Google Cloud Day Tel Aviv 📅 November 24, 2025 Register here: https://lnkd.in/eaDuCDRz

𝐅𝐢𝐧𝐝𝐢𝐧𝐠 𝐚𝐧 𝐞𝐱𝐩𝐨𝐬𝐮𝐫𝐞 𝐢𝐬𝐧’𝐭 𝐭𝐡𝐞 𝐡𝐚𝐫𝐝 𝐩𝐚𝐫𝐭. 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐢𝐭 𝐢𝐬. Traditional leak detection tools rely on pattern matching — they tell you something was exposed, but not what it means, who owns it, or how to fix it. Apiiro’s context-rich exposure detection changes that. When source code, data, or secrets are exposed, Apiiro: ▪ Confirms if the leak actually belongs to your organization. ▪ Maps it to the affected code, systems, and business impact. ▪ Prioritizes what matters, not just what’s noisy. By combining continuous monitoring with Deep Code Analysis, Code-to-Runtime Matching, and the Risk Graph, Apiiro turns isolated alerts into actionable intelligence. Because in modern software security, context isn’t extra — it’s everything. 🔗 Learn more: https://lnkd.in/d2UAzWkV

What a great experience at PyData Tel Aviv 2025! 💫 Our team had an amazing time — from thought-provoking sessions on AI agents (and plenty of other fascinating topics) to connecting with a huge number of curious, passionate professionals. It’s inspiring to see how many people are thinking about building safer, smarter AI systems. Huge thanks to the PyData community for the energy, ideas, and engagement. We left with full notebooks, new friends, and plenty of inspiration.

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