Threat modeling gives your team a structured way to identify likely attack paths before systems go live. We work with product, engineering, and security stakeholders to define assets, trust boundaries, attacker goals, and the most relevant abuse cases for your AI or blockchain solution.
For AI platforms, we look at data exposure, model misuse, adversarial inputs, and downstream business impact. For blockchain systems, we examine smart contract interactions, wallet flows, governance risks, and integration dependencies. This helps teams make informed design decisions early rather than reacting after deployment.
hciss delivers practical guidance that supports engineering priorities, compliance expectations, and executive risk decisions. The result is a clearer security roadmap and a stronger foundation for secure delivery.