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Almanax is an AI-powered security tool that integrates into CI/CD pipelines to detect and fix code vulnerabilities before deployment. It uses large language models to identify complex issues and reduce false positives, outperforming traditional static analysis tools. Built by industry veterans, it offers a scalable solution for securing rapidly growing codebases in web3 and beyond.
The AI Assistant That Doesn’t Just Write Code—It Secures It
Code generation tools like Cursor and GitHub Copilot have significantly increased the volume of code developers produce. Engineering teams now face the challenge of managing security risks at a scale previously unseen. Traditional approaches, such as manual audits conducted every six to twelve months, are no longer sufficient to keep up with the accelerated pace of development.
Almanax was built in response to this shift. Founded in 2024 by Francesco Piccoli and Maxwell Watson, the company’s goal is to use LLMs to adapt code security to the modern development environment. Almanax integrates directly into developer workflows and provides real-time analysis without slowing down the pipeline.
Why Most Code Security Still Fails in 2025
Security in web3 remains fragmented and reactive. Code vulnerabilities continue to be a primary attack vector, leading to significant losses. According to Almanax, $13 billion has been stolen in the past five years through web3 hacks. In 2022 alone, 91% of hacked smart contracts had undergone manual audits.
Legacy tools contribute to the problem. Static analysis platforms generate a 95% false positive rate, which creates noise and delays response times. The result is a heavy reliance on external auditing teams that cannot operate at the pace modern development requires.
Almanax Integrates Directly into How Developers Work
Almanax functions as an AI Security Engineer embedded in the development process. It continuously scans source code and third-party dependencies by integrating directly into CI/CD pipelines. When developers push new code, the system automatically evaluates it for security issues.
The platform also filters alerts from other security tools such as Snyk and Socket. By identifying and removing false positives, Almanax reduces alert fatigue and enables security teams to focus on critical threats.
Key capabilities include:
- Real-time LLM-based vulnerability detection
- Dependency scanning with one-click operation
- Alert triage and filtering from external platforms
- Automated fixes before code reaches production
How Almanax Uses LLMs to Analyze, Detect, and Prevent Threats
Almanax employs large language models to examine codebases with greater context awareness than traditional tools. These models interpret the logic behind code, making it possible to detect subtle vulnerabilities that may go unnoticed in syntax-focused scanning.
The LLMs also reduce the number of false positives by understanding intent, not just patterns. This allows the platform to highlight only the alerts that are likely to be true risks, cutting through noise and enabling faster mitigation.
Catching Bugs That Humans and Other Tools Miss
Security professionals and engineers have reported cases where Almanax identified vulnerabilities that had been missed by manual auditors or other automated systems.
In one instance, Almanax detected an issue in Vitalik Buterin’s code in under 20 seconds. Several users noted that the tool flagged critical flaws in migration contracts and Aave integrations—flaws that had not been picked up by their auditing partners.
Testimonials include:
- Rob, Security Lead at Cat Town, called it the most intelligent scanner he had used.
- Andres Gutierrez, CTO at Agrofi, confirmed the system caught a vulnerability in unused code.
- Ash, Founder at Flexclub, said the recommendations were stronger than those from their previous automated audit.
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Security at Web3 Speed: Solving the 100x Code Explosion
AI-powered development tools are enabling teams to produce code at rates nearly 100 times higher than before. This surge in output creates a new security burden that manual review processes cannot manage.
Almanax was created specifically in response to this scale issue. Its founders asked a central question: “What happens when companies produce 100x the number of lines of code they used to?”
By embedding into existing CI/CD pipelines and automating both detection and remediation, Almanax supports security teams without requiring them to increase headcount or audit frequency.
Built by Experts Who’ve Been on the Frontlines of Blockchain Security
Francesco Piccoli, formerly Head of Product at AnChain.AI, helped build tools for the SEC, IRS, and Salesforce. His experience includes leading investigations into hacks involving losses of over $100 million. He also worked on anomaly detection at Ripple and autonomous driving at Volvo Cars.
Maxwell Watson spent years in the startup space, most recently working on staking infrastructure at Coinbase. Before that, he was part of Capsule8, where he built a platform for real-time kernel security monitoring. Capsule8 was later acquired by Sophos.
Other team members include:
- Giorgio Demarchi, Founding ML Engineer (MIT, Amazon)
- Steven Benmoha, Founding Software Engineer (Mastercard Crypto)
- John Lawniczak, Security Engineer (Fireblocks)
- Pranjali Thakur, Security Engineer (Circle)
Why Teams Are Replacing Legacy Tools with Almanax
Users consistently describe Almanax as fast, intelligent, and actionable. The tool integrates where developers already work and removes the need for context switching. Feedback highlights a dramatic improvement over traditional security audits in both depth and speed.
It delivers:
- Significantly fewer false positives
- Faster identification of high-risk issues
- Reduced reliance on third-party audits
- A streamlined process that fits into agile workflows
Security leads, founders, and engineers have all confirmed its utility in real scenarios, including production-level deployments and pre-launch reviews.
What This Means for Developers and Security Teams Today
Almanax enables teams to keep pace with modern development speeds without compromising on security. By combining automated detection, smart filtering, and proactive remediation, it removes the friction traditionally associated with secure coding.
Teams building in web3 and other high-risk environments now have access to a tool that understands how their code works—and where it might fail—before vulnerabilities can be exploited.
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