Databricks AI Governance & Security Frameworks: The Fast-Track Guide for Business, Tech & Security Leaders

Why bother with another framework?

AI is sprinting; risk management is jogging. Every week I meet leaders who rave about GenAI pilots yet flinch when I mention shadow models, bias or the looming EU AI Act. Sound familiar? The gap between innovation velocity and governance reality leaves organisations wide-open to data breaches, fines and dented reputations.

Enter two battle-tested guides from Databricks that aim to close that gap:

  1. Databricks AI Governance Framework (DAGF) – a five-pillar blueprint with 43 actionable checkpoints.
  2. Databricks AI Security Framework 2.0 (DASF) – a risk-control playbook mapping 62 security risks to 64 controls across 12 AI system components.

Let’s break them down – minus the jargon.

Databricks AI Governance Framework (DAGF)

What it is: A structured, enterprise-ready roadmap covering everything from strategy and ethics to monitoring and incident response.

 

Five pillars in plain English

Pillar

What it means for you

AI Organisation

Clear roles, budgets and KPIs. No more “Who owns this model?” headaches.

AI Lifecycle

Guardrails for every stage – ideation to retirement.

Data & Model Governance

Tight lineage, quality gates and audit trails for training data and weights.

AI Risk & Compliance

Mappings to regulations (EU AI Act, ISO 42001, NIST etc.) baked in.

AI Ops & Monitoring

Live dashboards, drift alerts and rollback plans.

Why care? Gartner says models with built-in trust and security see 50 % higher adoption.

AI Security Framework 2.0 (DASF)

What’s new in 2.0?

  • 62 clearly defined risks – prompt-injection, data poisoning, jailbreaks, the lot.
  • 64 recommended controls – from policy-as-code to red-team playbooks.
  • Cross-walks to MITRE ATLAS, OWASP LLM Top 10, NIST 800-53 and the EU AI Act.

In practice: DASF is your “brakes and seatbelts” while DAGF is the “road rules”. Use them together.

 

Putting DAGF & DASF to work

  1. Run an assessment

Download the free DASF whitepaper and score each of the 12 components. It reveals quick wins and red flags.

  1. Build a cross-functional tiger team

Mix legal, security, data and product minds. Give them power to pause releases that break the rules.

  1. Map controls to tooling

If you already use Unity Catalog, MLflow or Lakehouse governance features, great – line them up against DASF controls. For gaps, shortlist vendors or open-source add-ons.

  1. Automate “policy-as-code”

Treat guardrails like infrastructure. CI/CD pipelines should fail if a model misses bias tests or lacks lineage metadata.

  1. Stress-test with red teaming

Use adversarial prompts and data-poisoning drills. Document lessons in your System Security Plan and update continuously.

 

Common board questions (and quick answers)

  • “Will this slow us down?”
    No – guardrails free teams from reinventing compliance every sprint.
  • “Is this only for Databricks?”
    Frameworks are platform-agnostic. They map to open standards and can sit on top of any stack.
  • “Where do we start?”
    Watch our 20-minute breakdown on YouTube, then book a discovery call with our cyber-talent team.

 Latest episode: All you need to know about DAGF & DASF – watch here

Ready to turn governance into a competitive edge?

SECURE Recruitment connects you with the data, AI and security talent needed to operationalise DAGF and DASF – from fractional CISOs to model-risk engineers.

Book a confidential chat: https://www.secure-recruitment.com/contact
Join the SECURE | CYBER CONNECT community for weekly threat briefings and peer mentoring.

Innovate boldly. Govern wisely. Your customers (and regulators) will thank you later.