AI Security Assessment
In an algorithm-driven era, ensuring model trustworthiness and safety is a core enterprise need. LUMINOUSEC provides full lifecycle in-depth auditing covering compliance, robustness, accuracy, and ethical risks to help enterprises reduce potential AI risks.
Beyond Traditional Auditing
AI risk is no longer a simple "system crash" — it's "logic manipulation."
When a model is subjected to adversarial attacks or incorrect instructions, it may make decisions contrary to enterprise intent. Our assessment framework covers algorithm internals and business logic to identify and mitigate potential risks.
Protect Corporate Reputation
Prevent AI from producing biased or non-compliant outputs, making business decisions more reliable and trustworthy.
Defend Against Adversarial Deception
Ensure the model maintains high-accuracy judgments even when facing deliberately manipulated inputs.
360° Trustworthiness Assessment Matrix
Algorithm Robustness & Adversarial Verification
Simulate attacks from a red team perspective, conducting adversarial sample testing. Verify model stability under interference and quantify defensive capabilities.
- Adversarial sample attack exercises
- Prompt injection testing
Data Privacy & Reverse Security Audit
Examine the model for residual memory of training data, prevent inference attacks from leaking PII, and ensure compliance with PDPA and local regulations.
Algorithm Fairness & Bias Governance
Identify prediction disparities across gender, ethnicity, or groups, eliminate algorithmic bias, and ensure decision fairness and compliance.
Full AI Lifecycle Compliance Review
Monitor from training to production API deployment, identify potential compliance gaps, and ensure the model's operating environment is secure.
Standard-Compliance Lifecycle
AI Security Closed-Loop Assessment Process
Referencing the ISO/IEC 23894 risk management framework, we build a continuous defense system from business modeling to risk treatment.
Business Context & Threat Modeling
Define system boundaries, establish security baselines per ISO/IEC 23894, and design attack scenarios targeting business logic.
Data Privacy Audit
Comprehensively review training data and inference pipelines, identify PII privacy risks, and verify lifecycle compliance.
Adversarial Combat Testing
Simulate adversarial sample injection and jailbreak attacks to verify the model's defensive boundaries and judgment stability under deliberate interference.
Ethics & Bias Review
Identify systemic bias and verify whether AI outputs comply with international ethical standards and enterprise fairness principles.
Full Lifecycle Comprehensive Assessment
Spanning training, integration, and deployment, comprehensively audit infrastructure vulnerabilities to prevent the operating environment from becoming a risk entry point.
Risk Treatment & Optimization
Deliver an in-depth assessment report with a hardening roadmap for algorithms, policies, and gateways, and initiate continuous monitoring.
Protect Your Digital Assets. Start Today.
Partner with the LUMINOUSEC expert team to build your defense-in-depth security architecture.