Most teams bolt security on after deployment. We build it into every layer — from data provenance at the foundation to governance and oversight at the top — mapped to all four tiers of the CSA AI Controls Matrix.
AI security isn’t a random checklist. It’s a layered stack — and every AssuredPosture engagement maps to all four tiers.
Governance (GRC), threat management (TVM), supply-chain risk (STA), and audit & accountability (A&A).
Application security (AIS), identity & access management (IAM), and interoperability (IPY).
Model security (MDS), data security & privacy (DSP), and cryptography, encryption & key management (CEK).
Infrastructure (I&S), universal endpoints (UEM), datacenter (DCS), and business continuity (BCR).
We run “instruction override” scenarios against your AI to ensure sensitive data stays isolated — before an attacker tries the same thing.
Monitor for high-risk prompt patterns like “ignore all previous instructions,” with alerting wired into your security operations.
Continuously validate and trace data sources to prevent data poisoning and unauthorized changes to what your models learn from.
As you go from simple chatbots to AI that executes real work across your systems, the attack surface fundamentally shifts. We stand up a control-plane checkpoint between your AI and your customer records, payments, and core systems — so automation never outruns your guardrails.
Every action is screened against your security policy before it runs.
Least-privilege access enforced on what your AI can reach and change.
Continuous identification and treatment of high-risk AI behavior and drift.
Your role in the AI supply chain. Security ownership in AI is shared across every layer — cloud provider, model provider, application provider, and you. We help you identify exactly where your responsibility starts and build the controls to meet it.
Every engagement starts with a free architecture assessment — an honest map of your stack, control points, and exposure.
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