AI Security
Stay secure while you scale AI
Amidas AI Security helps you adopt GenAI and machine-learning safely—protecting sensitive data, models, and pipelines, and aligning with governance and compliance requirements. We combine proven cybersecurity controls with AI-specific guardrails to prevent data leakage, stop model abuse, and keep your business resilient.
Why AI Security Matters
AI is reshaping how work gets done—but it also introduces new risks: data exposure through prompts, model poisoning and theft, insecure LLM plugins, and shadow AI usage across teams. Traditional controls alone aren’t enough. You need end-to-end visibility across data, models, and runtime; policy and access control tailored for AI; and continuous evaluation against evolving threats and regulations (including Hong Kong’s Critical Infrastructure (Computer System) Protection Bill taking effect in 2026).
80%
of risk leaders say data leakage of sensitive data is a top concern for AI
Microsoft Marketing Asset
84%
of analysed AI tools experienced data breaches.
Cybernews
Our Solutions
01
AI Risk Assessment & Governance to define policies, usage standards, and controls that align with your business and compliance needs.
02
Model & Data Protection to secure training data, prompts, and outputs with identity, encryption, DLP, and secrets management.
03
Secure AI Development (MLSecOps) to build and ship AI safely with supply-chain security, guardrails, testing, and continuous evaluation.
04
AI Usage Protection & Monitoring to detect misuse, prevent jailbreaks and data leaks, and respond to AI-related incidents.
AI Risk Assessment & Governance

Establish the foundation for safe AI adoption. We map use cases, classify data, and define policies for prompt usage, retention, and access. We implement role-based controls, approval workflows, and audit trails to meet corporate standards and local regulations—including policy packs for regulated industries.
Secure AI Development (MLSecOps)

Ship AI with confidence. We integrate threat modeling into your AI lifecycle, harden model registries, validate third-party models and extensions, and add automated testing for bias, safety, and robustness. Pipeline security, artifact signing, and dependency checks prevent supply-chain and poisoning attacks.
Model & Data Protection

Protect what powers your AI. We secure datasets, embeddings, and model artifacts; manage secrets and keys; enforce least-privilege access; and apply data loss prevention to prompts and outputs. Built-in content filtering and redaction reduce the chance of sensitive information escaping through AI tools.
AI Usage Protection & Monitoring

Keep AI safe in production. We monitor prompts, responses, and plug-in actions for anomalous behavior; block jailbreak and prompt-injection patterns; and correlate AI telemetry with SIEM/SOAR for rapid response. Playbooks streamline investigation and containment for AI-related incidents.
The Value to your Business
Faster
AI rollouts with clear policies, controls, and guardrails
Reduced
Risks
Unified
Prevent sensitive data leakage
controls by End-to-end observability across data, models, and user activity
The Amidas Advantage
Cybersecurity and AI expertise, together. We blend 20+ years of enterprise security delivery with hands-on AI implementation to build practical, defensible controls. Our ecosystem spans leading platforms, so you get best-fit solutions that integrate with your current stack and scale with your roadmap. Ready to secure your AI journey? Contact us to assess your AI risks and design a controls framework that enables innovation safely.