SandboxAQ

AI providers are rolling back guardrails. The security responsibility is shifting to the enterprise, whether teams are ready for it or not. The real challenge isn't just policy. It's visibility. Most organizations don't have a clear picture of the AI systems already running in their environments or of the cryptographic infrastructure underlying them. Marc Manzano breaks down what that gap looks like in practice and what it takes to close it. youtube.com/watch?v=_eoBzg…

This Forbes piece on our recently announced AQVolt26 dataset showcases how AI is transforming the way researchers discover and optimize new materials for batteries. AQVolt26 helps battery scientists speed up research, enabling the development of safer, more affordable solid-state batteries for EVs, military applications, and data centers. Read the full article here: forbes.com/sites/alanohns… Want to see what this actually looks like in practice? Register for our upcoming webinar: 🔗 lnkd.in/dPZhKTNv

A new wave of mega tech IPOs is poised to reshape global markets, spanning AI, space, telecommunications, and cloud infrastructure. Companies like OpenAI, SpaceX, and Anthropic are driving this shift, with massive valuations and new opportunities for both institutional and retail investors. In this Fox Business interview with Cheryl Casone on Mornings with Maria, SandboxAQ CEO Jack Hidary explains how AI platforms and space-based technologies like Starlink are creating entirely new market ecosystems, influencing everything from connectivity to enterprise productivity. But alongside this growth comes rising security concerns. AI agents are unlocking efficiency across industries while introducing new cybersecurity risks. Also, recent news regarding the accelerating timeline for “Q-Day” (now expected by 2029) could disrupt today’s encryption standards much sooner than expected. Jack covers how AQtive Guard can protect AI models, agents, and MCP servers by stopping attacks at their source and providing a complete audit trail. Watch the full interview to understand how these forces are shaping the next era of markets, investment strategies, cybersecurity, and technological innovation: youtube.com/watch?v=_h5VxK…

AQVolt26 is here: a new high‑fidelity Li‑halide dataset and family of universal machine‑learning force fields designed to accelerate solid‑state battery discovery with Large Quantitative Models (LQMs). Today, we’re sharing the first AQVolt26 preprint, publicly available models on Hugging Face, a deep‑dive technical blog, and registration for an upcoming webinar on how to apply AQVolt26 in real battery R&D workflows. If you work on battery materials, multi-scale simulation, or solid‑state electrolytes, you can now: 🔸 Read the preprint for full methodology, benchmarks, and PES/dynamics results: lnkd.in/db6vEEdw 🔸 Explore AQVolt26 on Hugging Face to plug the models into your own MD and screening pipelines: lnkd.in/e9dfex5R 🔸 Dig into the blog for context on why halide SSEs are so hard to model—and how targeted high‑temperature data changes the design space: lnkd.in/dWKEkmq9 🔸 Register for the webinar to see live examples, hear from the team behind AQVolt26, and ask questions: lnkd.in/dPZhKTNv

In the latest Cyber Sentinels digital magazine, Mohammed Aboul-Magd joins other industry leaders to break down how AI is compressing attack timelines to hours, or even minutes. Automated bots don’t sleep, don’t wait, and don’t miss opportunities. This means traditional patch cycles won't cut it anymore. If it is a race against machines, most organizations are already behind. Read the article to learn how leaders are responding: #cyber-sentinels-march-2026/18" target="_blank" rel="nofollow noopener">gecnewswire.com/cyber-sentinel…

Join us on Thursday, April 9th at the 11th annual AI in Oil & Gas Conference by @econferencenet for two insightful sessions diving into how AI is actually transforming material discovery and decision-making: 1:30 PM – Roundtable Discussion Latest Trends in GenAI for Material Discovery: Separating Hype from Real Value Drivers with Scott Healey, SandboxAQ 4:15 PM – Lightning Round (Set 4): Fueling Better Decisions From accelerating catalysis R&D with in-silico screening to improving AI outcomes through better data quality and governance with Scott Healey, SandboxAQ and Isaac Meisner, Syniti Key themes include: ✔️ Moving beyond “explore & exploit” to scalable, quantitative models ✔️ Building purpose-driven metadata and taxonomies ✔️ Linking data quality KPIs directly to financial outcomes If you're looking to cut through the hype and focus on what really drives value with AI, these sessions are not to be missed. Register now: ptnevents.com/conferences/ai…

The fAQ Podcast is back from hiatus! How do you go from a 14-year-old at a summer biology camp to building cutting-edge quantum medical devices at SandboxAQ? This week, Stefan Bogdanovic sat down with Tai-Danae Bradley to share his incredible journey to SandboxAQ and discuss the messy, unpredictable reality of building and leading in Deep Tech. Stefan gets vulnerable about the effects of imposter syndrome, failed experiments, and the moment his breakthrough device picked up… elevator signals instead of heartbeats. If you want to hear a truly inspiring story about resilience, leading teams through the unknown, and finding profound purpose in unexpected places, check out the conversation: youtube.com/watch?v=iSkrS6…

A winning conversation SandboxAQ had this quarter: AI moving out of the lab and into the core of climate and industrial innovation. Emily Knight, CEO of The Engine, describes how AI used to be a mere tool but now companies like Foray Bioscience have deeply integrated it into their core processes. By turning it into software and pairing it with biological datasets, researchers are rapidly advancing solutions that solve real-world problems. SandboxAQ customers are doing the same thing with our AQBioSim and AQChemSim platforms: leveraging powerful quantitative AI models, advanced simulation techniques, and novel datasets to achieve incredible breakthroughs in drug discovery and materials science. After the video, read about how our quantitative AI solutions can accelerate your business: sandboxaq.com/solutions/aqbi… sandboxaq.com/solutions/aqch…

Google just accelerated its post-quantum migration target to 2029. That's roughly 1,000 days from now. Recent breakthroughs slashed the estimated qubit requirement to break modern cryptography from millions to thousands. The gap between theoretical and operational is closing fast. What's at stake: financial systems, critical infrastructure, and any data that is encrypted or signed with RSA or ECC today. Store-now-decrypt-later isn't a future threat, it's already happening. Data harvested now becomes readable the moment quantum machines reach scale, and now our PKIs are threatened too. The transition to post-quantum cryptography starts with knowing what you have. Learn more: aqtiveguard.com/blogs/q-day-mo…

What happens when AI moves beyond chatbots and starts tackling real scientific and industrial problems? In the latest episode of The Reboot Chronicles, SandboxAQ COO Andrew McLaughlin discusses why traditional language models struggle with quantitative work—and how a new generation of AI is being built for molecular modeling, post-quantum cybersecurity, advanced diagnostics, and resilient navigation. The conversation explores how physics-driven AI could transform enterprise R&D by accelerating discovery, reducing trial-and-error experimentation, and helping organizations prepare for the coming quantum era. 🎧 Listen to the episode to hear how AI is evolving from generating language to delivering scientifically grounded, decision-ready insight: rebootchronicles.com/andrew-mclaugh…

Quantum computing headlines are everywhere but the path to real enterprise impact is more complex. Tim Keary’s latest Forbes piece highlghts both the momentum in the space and the technical challenges that still stand in the way of widespread adoption. As SandboxAQ VP of Engineering Stefan Leichenauer shares in the article, quantum sensors are emerging as one of the most practical and immediate applications of quantum technology today. From enabling new forms of medical measurement to supporting GPS-independent navigation, these systems are unlocking data that wasn’t previously accessible. Much of quantum’s early impact will happen below the surface—advancing fields like materials science and drug discovery in ways most people won’t directly see, but that will shape industries in a meaningful way. Read Tim's insightful article about where innovations stand and where they are headed: forbes.com/sites/timkeary…

As AI continues to accelerate computational chemistry, it's creating huge opportunities and breakthroughs for AI For Science (AI4S) companies like SandboxAQ. In this clip, Charlie Roberts, Chief Investment Strategist at ARK Investment Management, talks about the growth of the AI4S industry and potential solutions they bring to complex challenges in drug discovery and materials science. This is where quantitative, physics-based models matter. Translating AI predictions into viable new drugs, catalysts, and materials requires systems that can model molecular behavior with enough accuracy and fidelity to leapfrog existing research, transform R&D, and reduce failure later in the pipeline. Watch the video, then read more about how Large Quantitative Models are transforming industries: sandboxaq.com/solutions/larg…

What does the reported shutdown of OpenAI’s Sora tell us about where AI is headed? In a recent CNBC Squawk on the Street interview, SandboxAQ CEO Jack Hidary breaks down the bigger picture, highlighting the economic, regulatory, and strategic forces shaping the next phase of AI, including potential IPOs from OpenAI and Anthropic, plus new space-based opportunities and applications from SpaceX. It’s clear that the most transformative applications of AI across science, energy, and materials are just beginning to take shape. Watch the full interview for insights on how the industry is moving beyond generative AI to quantitative AI and delivering real-world impact across industries: youtube.com/watch?v=LKpwNd…

AI agents are scaling at an unprecedented speed, and so are the risks that lie beneath them. Behind every agent lies a web of credentials, keys, and permissions that often go untracked, unrotated, and unprotected, creating a perfect entry point for attackers to quietly slip in and remain. This isn’t about loud breaches anymore. It’s about invisible access, long-term exposure, and a growing governance gap most organizations aren’t prepared for. AI & Data Insider's latest piece with Mohammed Aboul-Magd is a must-read on the security blind spot emerging in the age of AI: aidatainsider.com/ai/ai-agent-se…

AI is evolving fast, but LLMs can only do so much. In this clip, Anthony Viel, CEO of Deloitte Canada & Chile, shares his perspective on the power of Quantitative AI Models and their role in addressing what he calls "big ticket items" – the "math stuff" that LLMs cannot do. At SandboxAQ, the "big ticket items" means applying Large Quantitative Models and physics-based simulation to real-world problems like drug discovery and materials design, where accuracy and scale directly impact outcomes: sandboxaq.com/solutions/larg… Worth a watch as the conversation shifts from AI's potential to real-world impact. 👇

Cardiovascular disease remains one of the most urgent and underdiagnosed health challenges worldwide. CardiAQ combines AI and precision magnetic sensor arrays to power fast, radiation-free cardiac functional imaging to enable earlier diagnosis in the emergency setting and beyond. Learn more: shorturl.at/OvVFK

Final day of #RSAC and one idea keeps coming up: Security is shifting from protecting infrastructure… to governing autonomous systems. AI models making decisions. Cryptography securing machine identities. Exposure ends with visibility. Trust begins with enforcement.

A pattern we keep hearing at our booth at #RSAC: Security teams don’t just need more alerts. They need visibility across AI systems and cryptography at the same time. Two sides of the same challenge: AI Security Posture Management → governing models, agents, and employee AI tools Cryptographic Posture Management → securing keys, certificates, and machine identities Different surfaces. Same trust problem. Come say Howdy at Booth S-2027!

Most organizations have an AI policy. Far fewer can actually enforce it. That's the gap we keep seeing: teams know what "secure AI" should look like, but they don't have the instrumentation to make it real. Policies live in documents. Risk lives in production. Here's how we're closing that gap with AQtive Guard's latest release — from runtime guardrails that enforce policy on every AI interaction (no code changes) to cloud scanning that surfaces the shadow AI models your teams deployed without formal review. The full breakdown, with what each capability does and why it matters now: aqtiveguard.com/blogs/aqtive-g… Seeing is better than reading; catch live demos of runtime guardrails and AI system discovery at RSA Conference, Booth S-2027.

Great conversation this morning with security leaders at our breakfast with SecureSoft Two themes came up repeatedly: - Shadow AI is spreading faster than policy can keep up - Post-quantum planning has officially started Interesting year ahead!