As organizations across the region move AI from pilots into production, they are discovering an uncomfortable truth: the security stack that protects their networks and endpoints was never designed for models, prompts, and autonomous agents. Cascade Solutions today announces the launch of a dedicated AI Security practice to close exactly that gap.
Large language models and AI agents introduce attack surfaces that traditional controls cannot see — prompt injection, model poisoning, data leakage through AI outputs, and agents acting with excessive privileges on business systems. Regulators are also catching up, and enterprises deploying AI in banking, government, and healthcare will be expected to demonstrate that their AI estate is governed and protected.
The new practice protects the full AI lifecycle: model security against theft, poisoning, and supply-chain tampering; runtime security for AI applications in production; adversarial AI red teaming; AI gateways for centralized control and cost governance of LLM traffic; agent security with least-privilege guardrails; and API security for the interfaces that connect AI to business systems.
The practice builds on our established partnerships with the market's leading AI and security platforms, and integrates with our existing cybersecurity and AI infrastructure services — so clients can adopt AI at speed without adopting its risks.
To discuss securing your AI initiatives, get in touch with our team through the contact form.
