Compliance

Audit-ready, not just secure

Enterprise buyers and regulators no longer take "we're secure" on faith — they ask you to prove it. Deflected helps your AI program map to the frameworks that matter, implement the controls behind them, and produce the evidence that turns a security posture into a passed audit and a signed deal.

Why compliance matters for AI

AI has moved faster than the rules that govern it — but the rules are catching up quickly. In the space of a few years, AI has gone from an experimental capability to regulated, board-level infrastructure, and the expectation now is that any organization deploying it can demonstrate how that AI is governed, secured, and kept accountable.

Three forces are converging on the same requirement. Regulation is rising: the EU AI Act introduces binding, risk-based obligations, and frameworks from bodies like NIST are becoming the reference standard for what "responsible AI" actually means in practice. Enterprise buyers are demanding evidence: procurement and vendor-risk teams increasingly gate purchases on security questionnaires, SOC 2 attestations, and documented AI governance before a contract can be signed. And the cost of falling short is concrete — a stalled deal while security review drags on, a failed or qualified audit, or a regulatory finding that damages trust and carries real financial exposure.

For a security or compliance leader, the practical problem is rarely a lack of security controls. It is the gap between having good controls and being able to prove them on demand, mapped to the specific framework a customer or regulator cares about. Closing that gap is what this page is about.

Frameworks we support

Deflected aligns its capabilities and evidence to the frameworks that enterprise AI programs are most often measured against. We help you prepare for and align with each one — the descriptions below explain what each framework is and where it fits.

NIST AI Risk Management Framework (AI RMF)

The leading voluntary framework for identifying, assessing, and managing AI risk across the full model lifecycle — from design and data through deployment and monitoring. Organized around the functions of Govern, Map, Measure, and Manage, it gives enterprises a common language for AI trustworthiness. Deflected helps you operationalize the AI RMF: turning its principles into concrete controls, risk assessments, and continuous monitoring you can actually run.

EU AI Act

The European Union's landmark regulation of artificial intelligence, structured around risk tiers that escalate obligations for higher-risk systems. High-risk AI carries real, binding requirements for risk management, data governance, transparency, human oversight, and record-keeping. Deflected helps you classify your systems, understand which obligations apply, and stand up the documentation and controls needed to support readiness for high-risk use cases.

SOC 2

The trust-services criteria — security, availability, processing integrity, confidentiality, and privacy — that enterprise procurement teams rely on to evaluate a vendor's controls. A SOC 2 report is often the single most requested artifact in a B2B security review. Deflected helps you align your AI-layer controls and evidence with SOC 2 expectations so you can move through vendor assessments without the process stalling your pipeline.

NIST Post-Quantum Cryptography Standards (FIPS 203/204/205)

The finalized U.S. federal standards for encryption designed to resist attacks from quantum computers: ML-KEM-1024 (FIPS 203) for key encapsulation, ML-DSA (FIPS 204) and SLH-DSA (FIPS 205) for digital signatures. Deflected builds on these standards — with hybrid X25519 key exchange and AES-256 symmetric encryption — so the data you protect today stays sealed against the "harvest now, decrypt later" threat. We help you align your cryptography roadmap with these standards as post-quantum requirements move into procurement and policy.

How Deflected helps

Being framework-aware is one thing; being audit-ready is another. Deflected works with your team across four practical areas so that alignment translates into evidence you can hand to an auditor or a customer.

These outcomes are delivered through our AI Governance & Compliance engagement, where our specialists scope the work to your environment and the frameworks your buyers and regulators care about most.

An important clarification: Deflected maps to, supports readiness for, and aligns with these frameworks, and helps your team prepare for audits and assessments — but Deflected is not an accredited auditor and does not issue certifications or attestations. Formal certification is always performed by an independent, accredited assessor; our role is to get you ready for that assessment and to make it go smoothly.

Our own posture

We hold ourselves to the same standard we help our customers reach. Deflected builds to these frameworks internally: the platform is engineered around post-quantum cryptography by default, controls are designed with the NIST AI RMF and SOC 2 trust-services criteria in mind, and every security decision the platform makes is logged for accountability. Security is not a feature we bolt on for compliance — it is how the product is built. You can read more about how we protect your data on our security page.

The bottom line

Being secure protects your systems. Being audit-ready lets you prove it — to regulators, to enterprise buyers, and to your own board — with framework mappings, implemented controls, and the evidence to back them up. Deflected helps you close the gap between the two, so security stops being the thing that slows your deals down and becomes the thing that closes them.

Get your AI program audit-ready

Book a working session with our team. We'll map Deflected to the frameworks your buyers and regulators care about, and show exactly where the evidence comes from.