Security is more than just code - it’s about designing resilient systems, anticipating risks, and safeguarding every layer of your organization. Spearbit’s Advanced Security Assessments provide deep, specialized evaluations to uncover vulnerabilities before they become exploits.
Identify vulnerabilities before they can be exploited. Our threat modeling process maps out your architecture, pinpoints attack vectors, and anticipates adversary behaviors—giving you a proactive security blueprint.
Go beyond smart contract audits with a big-picture review of your design. We evaluate system dependencies, contract interactions, and off-chain components to uncover critical security gaps.
AI security requires a unique approach. We safeguard machine learning models, NLP systems, and AI-driven APIs against data manipulation, adversarial attacks, and emerging threats—ensuring integrity and trust.
Automated fuzzing and rigorous unit testing help uncover deep-seated security flaws that traditional reviews miss. By stress-testing your contracts with edge-case inputs, we expose critical weaknesses and strengthen your organization’s resilience.
Flaws in economic design can destabilize an entire ecosystem. We analyze game theory, incentive structures, and market mechanics to prevent manipulation, ensure stability, and fortify your organization’s financial security.
Most teams focus on what’s deployed - but sophisticated attackers target the architecture, assumptions, and economic design implemented long before go live. Spearbit’s advanced assessments help you move from reactive to resilient, with security that starts at the design layer and covers every surface: technical, operational, and economic.
Whether you’re building a rollup, launching a novel financial primitive, integrating AI systems, or coordinating multi-party governance, this service is designed to uncover what traditional audits can’t.
An advanced security assessment goes beyond auditing individual contracts. It can include things like system-wide threat modeling, architectural analysis, incentive design reviews, AI-specific security evaluations, and more. It's meant for complex or novel protocols that need holistic validation.
Ideally before deployment or protocol finalization. It's especially useful during testnet stages, pre-token launch, or when you're introducing a major system change (e.g. new rollup, cross-chain upgrade, or mechanism overhaul).
We've worked with top DeFi protocols to evaluate incentive mechanisms, token designs, and governance systems. Our researchers have backgrounds in game theory, mechanism design, and financial modeling.
We look for adversarial inputs, model inversion attacks, prompt injection, data poisoning, and other vulnerabilities in AI systems. This is especially relevant for protocols using ML to drive automation or risk scoring.
You'll receive a custom report highlighting risks, design flaws, and vulnerabilities. We can also provide live walkthroughs of the issues found for your technical team.