AI-Integrated
Systems Security

AI and large language models (LLMs) are evolving rapidly, but at their

core, they’re still software systems. That means the same secure

development principles that apply to modern applications; clear

boundaries, trusted inputs, minimal access, and auditable decisions

remain essential. What changes is the shape of the system, not the

need for thoughtful, defensive design.

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We work with engineering teams building or integrating AI capabilities

to apply proven application security practices in ways that fit the

emerging landscape. From prompt injection to model drift to data

handling concerns, we help teams identify the risks, define the right

controls, and integrate security without blocking progress. These

systems are powerful, and with the right patterns in place, they can be

deployed in ways that are both innovative and responsible.

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Whether you’re working with third-party models, deploying your own,

or building AI-driven features into existing platforms, we bring security

engineering experience to help you deliver systems that make the

most of what’s possible… safely.