The safety penalty: Reclaiming operational sovereignty in the age of AI
Brief
- As frontier models advance in cyber capability, their guardrails also become more restrictive.
- Defenders relying on these models to power core SOC processes cannot afford to pay the “safety penalty” of being blocked by these safeguards.
- Organizations should monitor model refusal rates and use the data to create a strategy to ensure operational sovereignty.
The allure of the cloud and the hidden "safety penalty"
Cybersecurity has made a big bet on cloud-hosted AI. Building and running frontier-class models in-house isn’t realistic for most security teams — the compute, the talent, and the R&D costs are more than any single SOC can carry. So we’ve effectively outsourced the "brain" of our security operations to a handful of providers.
That trade comes with a hidden cost: the safety penalty.