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Make secure and recoverable AI a release decision, not an incident lesson.
AI systems combine model behaviour, internal data, tool access and third-party dependencies. Teams need one method for prompt injection, sensitive-data exposure, excessive agency, supplier failure and recovery. Training connects the technical attack surface with DORA, NIS2 and company controls where those regimes apply.
AI-specific attack surfaces
Prompt injection, model poisoning, adversarial inputs
Standard security training does not cover AI-specific threats. Teams shipping AI features need to understand new attack vectors that traditional security hygiene doesn't address.
Regulatory scope changes the test
DORA and NIS2 can apply
Covered organisations need to connect legal scope, security measures, supplier oversight and incident reporting to actual systems.
Dependencies can stop the process
Models, APIs and cloud services fail
Teams need to understand critical suppliers, change rights, monitoring, degraded modes and exit options before reliance grows.
Practical workshops using your actual stack, your deployment pipeline, and your supplier relationships: not abstract threat scenarios.
Security and resilience training delivered by a software engineer with AI experience and compliance law background: who understands both the technical attack surface and the regulatory obligation.
We translate DORA's ICT risk requirements and NIS2's security measures into engineering decisions: architecture choices, testing gates, and supplier contracts.
We cover attack vectors unique to AI systems that standard security training misses: adversarial inputs, prompt injection, model poisoning, and supply chain compromise.
Threat modelling and release gate exercises use your actual architecture, deployment pipeline, and supplier relationships: so training translates directly to action.
Threat models, risk assessments, and incident playbooks produced during sessions give you the start of your DORA and NIS2 documentation.
Training records, completion logs, and session documentation help demonstrate due diligence to regulators, auditors, and enterprise security teams.
The threat surface unique to AI systems: what traditional security frameworks miss and how teams building AI products need to think differently.
Hands-on threat modelling for your actual AI architecture: identifying risks, assigning ownership, and designing mitigations before they become incidents.
What DORA requires from ICT risk management, testing, and incident response: and how engineering and compliance teams implement it together.
Scope assessment, required security measures, and incident notification under NIS2: translated into the decisions your teams need to make.
How to build security checkpoints into your release pipeline and assess the security posture of your AI suppliers, models, and dependencies.
We will turn it into a practical threat, release or recovery decision your teams can test and document.
Request a practical exampleShare your goals with us and discover how we can guide you through complex compliance requirements.