The QuillAudits team has landed in Mumbai for @EFDevcon Our auditors, researchers, developers, marketing team, and leadership are in town hosting, speaking, and connecting with the Web3 community. From tokenization to blockchain security, we're excited to be part of the conversations shaping the future of Web3. If you're looking to meet us at Devcon Track where our team is heading, see who's attending which events, and register on UsePulse to find us throughout Devcon! 👇 Check out our event schedule: https://t.co/15F1ESWie1

Ngl the title scared me for a sec. We've been selling audits for 8+ years 😅 Then I read the full thing, and the real point hit harder. Clients don't hate audits, they hate paying for a problem list before they know what fixing it will cost. And honestly, web3 security has the exact same problem. Founders push audits to the last week before mainnet because to them it's just a PDF and a bill. Then the report lands, the devs fix the findings, and the team learns almost nothing. We saw this firsthand with QuillShield. It independently found a different attack path to a bug a 12-agent audit had marked refuted after a safeguard blocked the tested path. QuillShield wrote an exploit test that passed, and a human auditor verified it on a mainnet fork. Four reviewers agreed the bug was real. What actually works, in AI agencies and in security: Teach the team while you dig into their workThe best findings come from people showing you their real workflowsLeave them better than you found them, not just with a report "The audit still happens. It just doesn't have to be the thing you ask them to pay for up front." Building something and coming to Devcon? Let's talk about how your team stays secure long after the audit. My DMs are open 🤝 Good read @lukepierceops 👇

Honestly, this feels more like a marketing strategy to convince people to sell their Bitcoin than an objective take on where the market is heading. We’re moving towards a digital first world look at @PhonePe and other digital payment apps. People are going cashless because technology makes transactions faster, easier, and more convenient. The same shift is happening with Bitcoin and digital assets: faster global transactions, borderless payments, financial accessibility, and the ability to transfer value without relying entirely on traditional intermediaries. Every technology has limitations and risks, but that doesn’t mean we should dismiss its potential. Technology evolves to solve problems. The real question isn’t whether Bitcoin has flaws, but whether its long term utility and adoption can continue to grow. Judging an emerging technology solely by its current market performance might mean missing the bigger picture. AI agents will need a way to pay for services, access data, and execute tasks autonomously. Protocols like @base x402 enable internet native payments between AI agents and services. As AI agents become more capable and move towards superintelligence, the need for programmable payments, machine to machine transactions, and permissionless financial infrastructure could grow significantly. I don’t think Bitcoin, blockchain, or crypto will simply disappear because AI is becoming more valuable. If anything, the rise of AI agents could create new use cases for blockchain and digital assets. The real question isn’t whether AI or crypto will win. It’s how the two will evolve together to build the next generation of the internet.

Proud of the team for shipping it. Why developers should use it: 1. Detection rate – 84 % on EVM‑bench. 2. Verified PoC exploits – Every finding in a full audit includes a working proof‑of‑concept exploit, so you see the break before you fix it. 3. CI/CD coverage – After the initial audit, each PR, merge request, and commit is automatically scanned via the GitHub App, Actions, or a GitLab webhook, keeping coverage continuous between audits. 4. Project memory – The tool retains a memory per project (docs, context, past findings), allowing each scan to understand your codebase better than the last. 5. Dev‑tool native – Available through a REST API, qs CLI, MCP for Cursor and Claude, and Foundry projects. Import from GitHub, GitLab, zip files, or .sol files.

Everyone knows what happened with Ledger recently. But what’s the real takeaway? A reseller had devices physically implanted. The implant watched the screen during setup, stole the 24 word seed, and sent it over LTE. Secure Element was never touched. Genuine Check still passed. This isn’t just a Ledger problem. It applies to any physical product you buy another hardware wallet, a second hand phone, a “new” device from a reseller, anything that sits between the factory and your hands. Your security is only as strong as the path that product took to reach you. Basic OPSEC that actually matters: Buy direct from the manufacturer’s website whenever possible. Cuts out most hardware supply chain risk. • For higher funds → multisig only. One compromised device can’t move anything alone. • Against software exploits: reset / reinstall the machine (or key environment) two or three times before treating it as clean. • Never trust a seed (or private data) from a device with any doubt about its origin. • Test with small amounts first. Assume the worst on first setup. Hardware still works. Always be paranoid about security.

If the reported @OpenAI & @trailofbits acquisition happens, I think it could be a major signal for the future of cybersecurity. Trail of Bits has built its reputation through serious security research, open source tooling, and deep technical expertise. Its collaboration with OpenAI on “Patch the Planet” also shows how AI and security expertise can come together to find and fix vulnerabilities at scale. But why acquire a security firm? Frontier AI labs need more than better models. They need real world security expertise, vulnerability datasets, and people who understand how software breaks. A team like Trail of Bits could help improve how models discover, reason about, and fix vulnerabilities. For Trail of Bits, the upside is equally interesting: more capital, greater resources, and potentially deeper access to frontier models. Imagine combining its security expertise with increasingly capable AI systems. The bigger question is whether this becomes a trend. I wouldn't be surprised if other AI labs, including Chinese frontier AI companies, pursue similar partnerships or acquisitions. Web3 security firms could be part of this shift, too. Imagine a frontier AI lab acquiring a firm like @CertiK or building a deep strategic partnership with one. We've already seen consolidation in Web3 security, such as @zellic_io acquisition of @code4rena . AI could accelerate this further. But there's a catch. As AI makes vulnerability discovery cheaper and more scalable, the value of security work may shift. Purely manual auditing could face increasing pressure, while researchers who can use AI to uncover deeper, more complex bugs may become even more valuable. My takeaway? Learn to work with LLMs. Build tools. Find bugs. Publish research. Build a reputation. The future may not belong to auditors who compete against AI, but to those who know how to use it better than everyone else. Cybersecurity is entering a new phase, and Web3 security won't be immune.

Unfortunate to hear this. One important takeaway here is that keeping a large amount of funds in a single wallet creates a major single point of failure. A few basic practices that can significantly reduce the risk: → Split large amounts across multiple wallets instead of keeping everything in one place. → Use hardware/cold wallets for significant holdings. Keeping keys isolated from online systems makes them much harder to compromise remotely. → Use multisigs for larger amounts. Requiring multiple independent signatures means compromising a single signer/key isn’t enough to move the funds. → Strong @opsek_io matters. Understand what you’re signing, where your keys are stored, who has access to them, and what information you share publicly. None of these are a silver bullet, but together they can drastically reduce the blast radius of a compromise. Feel free to DM me for any questions or help. Happy to help where I can.

Congrats to all the teams selected for Base Batches 004 👏 As a security company, we believe security should be built in from day one not added after the first incident. A few things every team should think about as they build: 1. OpSec + infrastructure security Security starts with your team. Train your employees and core team on security best practices especially tips from @opsek_io , phishing awareness, account security, key management and social engineering. Always attend important meetings and access critical systems from dedicated work laptops/devices, rather than personal devices. Your team is often the first line of defense. One compromised device, account or employee can become the entry point for a much bigger attack. 2. Multisig + secure devices You’re getting $100K in funding use a portion of it to invest in security. Get hardware wallets like @Ledger , use multisigs for critical funds and keep separate devices dedicated to work/crypto operations. Don’t use the same device for everything. Separating work, personal activity and critical signing operations reduces the chances of malware or a compromised device reaching your most sensitive systems. A single compromised key should never be enough to cause serious damage. for safe multis scanning you can integrate into our product : https://t.co/85ArM12r7p 3. Frontend security Your contracts can be perfectly secure and users can still get drained through a compromised frontend. Phishing, DNS/domain compromise and malicious UI changes are common attack paths. Protect the interface your users actually interact with. 4. On-chain monitoring + incident response Security doesn’t stop after deployment. 24/7 monitoring can help detect unusual transactions, admin changes, suspicious fund movements and other anomalies early. And when something does happen speed matters. Have a clear incident response plan, defined roles and the ability to quickly contain an attack. Security comes with a cost. But the cost of not securing what you're building can be much higher. Congrats again to all the teams build fast, but build secure. 🔐 If you want to discuss anything about security, feel free to dm me! CC: @SaturdayBank @mercatus_ai @contavcbr @Tribeca_xyz @Flovia402 @bitrepo_xyz @get_grow_app @GreekDotFi @LEDiG_Tech @RennFinance

Read “CyberChainBench: Can AI Agents Secure Smart Contracts Against Real World On-Chain Vulnerabilities?” Really interesting research on where AI agents are today when it comes to smart contract security. The paper evaluates AI agents against 541 real-world exploits across 9 EVM chains —> not synthetic vulnerabilities or static code snippets. The agents had to do three things: • Detect the vulnerability • Reproduce the exploit • Patch the vulnerability Some of my takeaways 👇

Wrapped today’s panel at @CoinFerenceX On Securing Institutional Capital: Custody, Exploits and the New Threat Landscape Joined by: Jason Jiang (CBO, @CertiK) Alex Horlan (CTO, @d0rsky @HackenProof) Jock Haslam (@jockhaslam @Hashlock_ ) Moderated by Adam Wasserman We went deep on custody risks, real-world exploits, vendor chain vulnerabilities, and the evolving role of AI in securing institutional capital. Proud to represent @QuillAudits_AI as a frontier in RWA and tokenisation security, as we continue building full-stack security for the on-chain world.