Use & responsibility
Establish purpose, provider or deployer role, risk class and permitted use. Plan AI literacy for the team.
AI SECURITY · FROM DEVELOPMENT TO OPERATIONS
Build with AI.
Build in security.
Bring security to AI code, models and agents. Reusable testing skills, an end-to-end DevSecOps pipeline and traceable evidence support your EU AI Act assessment.
Code & models
Agents & tools
Approval & operations
Illustrative preview with placeholders. No live scans or customer data.
SKILL-BASED PENETRATION TESTING
Test with purpose.
Improve with each run.
A testing skill combines instructions, permitted tools, test cases and expected outcomes. This makes checks repeatable and traceable whenever your AI application changes.
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Agree the scope.
Approve target systems, permissions and stop conditions together. Use synthetic data in a separate test environment.
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Run testing skills.
Examine prompt manipulation, API access and agent handoffs with versioned test cases and clear expectations.
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Verify the fixes.
Review findings, retest corrections and turn recurring cases into regression tests.
DEVSECOPS · END TO END
From the first brief.
Through daily operations.
Security checks belong in every phase. Connect development, testing and operations through documented approvals and a feedback loop for what you learn.
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Plan
Define intended use, responsibilities and risk class. Record threats and acceptance criteria.
Risk profile -
Code & build
Review AI code, dependencies, secrets and infrastructure. Produce versioned artifacts with traceable provenance.
Build evidence -
Test
Run penetration-testing skills and check agent communication, data quality and robustness in a separate environment.
Test report -
Review & approve
Assess findings, evidence and required conformity checks. Unmet release criteria block delivery.
Approval record -
Deploy
Roll out reviewed artifacts with controlled access. Prepare rollback and recovery before release.
Release record -
Observe & improve
Track model behavior, costs, autonomy and security events. Respond to incidents and reassess changes.
Operations evidence
Operational findings feed back into planning and testing skills.
Process preview: documents and check results are shown as skeletons.
EU AI ACT · SUPPORTING CONFORMITY
Clarify the requirements.
Connect the evidence.
Applicable obligations depend on the intended use, your role and the risk classification. We shape the workflow around the relevant requirements and make the review traceable.
Data & transparency
Bring together data provenance, quality, technical documentation and required information for users.
Oversight & quality
Connect human oversight, accuracy, robustness and cybersecurity with documented checks.
Conformity & operations
Identify required assessment, registration and declarations. Track monitoring, changes and incidents.
A successful scan alone does not establish EU AI Act conformity. This workflow supports evidence gathering; system-specific review and any required conformity assessment remain necessary.
Official guidance: European Commission · AI ActObligations for high-risk AI providers
SECURITY FOR YOUR USE CASE
Start small.
Develop with control.
Let’s start with a clear testing scope and a workflow that fits your applications.
Discuss AI security