Check Point rolls out Secure AI Advisory to monetize AI governance demand

Check Point’s Secure AI Advisory is another data point in the rapid professionalisation of “AI governance” as a revenue line, not just an ethics talking point. For a security vendor with deep enterprise relationships, packaging AI risk assessment, controls design and compliance guidance into a partner‑oriented offering is a way to monetise growing CIO anxiety about generative models, shadow AI usage and regulatory exposure. In Latin America, where many enterprises are only now moving from pilots to production AI, a recognisable security brand can heavily influence how ‘safe AI’ gets operationalised.([diarioestrategia.cl](https://www.diarioestrategia.cl/texto-diario/mostrar/5798547/check-point-lanza-secure-ai-advisory-ayudar-partners-capturar-creciente-oportunidad-gobernanza-inteligencia-artificial?utm_source=openai))

From an AGI‑race lens, the rise of advisory services like this cuts both ways. On one side, they can slow or reshape risky deployments by forcing organisations to think about data leakage, model abuse and auditability before rolling out agents to thousands of employees. On the other, they normalise AI in the security stack itself – threat detection, anomaly spotting, policy enforcement – and make it easier for large organisations to scale AI usage once basic guardrails are in place. In practice, that likely accelerates broad adoption while trimming off the most egregious failure modes.

It’s also a competitive signal: if incumbents like Check Point define how boards and regulators talk about AI risk, they may set de facto standards that newer, more specialised AI‑security startups have to follow. For the broader ecosystem, it suggests that “AI safety” will increasingly be sold through existing cybersecurity and GRC channels rather than as a standalone discipline.