Insights on AI systems, blockchain infrastructure, and developer platforms.
A real case involving Fiverr, Bitbucket, IPFS, obfuscated JavaScript, and encrypted payloads: how a fake Web3 hiring process hid a multi-stage malware delivery chain, and why refusing to run the code was the right security call.
Prompt injection still opens the door, but with agents, the real failure is what they can do after they walk through. A practical look at action-layer security, the Rule of Two, and shipping agents that stay useful without unsupervised authority.
Part 2 of the CrewAI Solidity auditing series: complete implementation walkthrough of agents.yaml, tasks.yaml, crew.py, and main.py, plus running the six-agent pipeline against a vulnerable contract.
Turning adversarial prompt principles into a real six-agent CrewAI pipeline (planner, static interpreter, vulnerability hunter, exploit crafter, verifier, report writer): design and prompts before the implementation piece.
Careless AI-assisted auditing can ship false confidence straight to production. Here is how to prompt for adversarial review, structured findings, tool-augmented agents, and verification workflows that match the stakes of DeFi security.
Can a bot really make you rich? We developed and tested a Hyperliquid-style market maker strategy and share what we learned about algorithmic trading, hidden costs, and risk management.
Smart contract vulnerabilities remain one of the most pressing risks in Web3. We explore how AI agents can add a continuous, adaptive layer of defense: monitoring, learning, and collaborating with human auditors to scale security without compromising rigor.