AI SECURITY

Bizcom considers AI-specific security as a foundational component of trustworthy AI operations and strong AI governance. It isn’t complete unless it addresses how AI systems can be attacked, subverted, or misused — both from within and from outside your organization. The multiplicity of endpoint exposure, created through the adoption of AI, requires unique oversight and expertise. We’ve even seen — firsthand — how AI systems can become attack vectors and circumvent traditional document access protections. That’s why we embed security into our AI governance development, evaluation, support and monitoring services.

AI governance without AI security is just guesswork

Unlike traditional software, AI models require their own security design and
protocols. It cannot be easily isolated into development, test, and
production environments and is not built from line-by-line code, but rather
from opaque statistical processes. It may behave unpredictably when
exposed to hostile prompts, poisoned data, or manipulated training
pipelines.

  • Model Poisoning Defence: Controls to detect tampered training runs or altered fine-tuning
  • Training Data Integrity: Auditable data pipelines to prevent malicious injection
  • Prompt Injection Risk Modelling: AI systems can be "tricked" — we help you defend against instruction hijacking
  • Model Access Control: Your models are assets — and attack surfaces. We help you secure them
  • AI Supply Chain Auditing: Know what you’re building with. Verify model provenance and prevent embedded threats. Understand the importance of contractual protections
  • AI-as-Attacker Scenarios: Simulating and mitigating how AI might be misused to bypass existing security boundaries