Adversarial Robustness

Prompt injection isn't a bug—it's a fundamental vulnerability in how LLMs process mixed trust-level inputs. When user data and system instructions occupy the same context window, adversaries will find ways to exploit that boundary.

At ALCUB3, we've developed a multi-layered defense architecture that treats every input as potentially hostile. Not because we're paranoid, but because our clients operate in environments where they genuinely are under attack.

Defense in Depth

Our approach combines input sanitization, semantic boundary enforcement, and output validation. But the real innovation is our adversarial training pipeline—we continuously red-team our own systems with evolving attack vectors.

The threat landscape moves fast. Your defenses need to move faster.