Leading AI Security Solutions & Assessment Services Provider — Building a Trusted AI Security Ecosystem
Based in Hong Kong and deeply focused on AI security, we analyze emerging security challenges and market opportunities in the AI wave — tracking industry trends and key developments.
Focused on AI security, delivering end-to-end solutions from strategy consulting and assessment to technical implementation, covering model security, data privacy, and compliance governance.
Bringing together senior cybersecurity architects, AI security experts, and compliance advisors who have served at leading global financial institutions, tech giants, and consultancies.
With professional expertise and rigor, we help clients identify, assess, and mitigate emerging AI risks, striving to be the most trusted AI security partner in the Greater Bay Area and Asia-Pacific.
The explosive growth of generative AI is reshaping industries and breaking traditional cybersecurity boundaries. This leap brings not only productivity gains but also unprecedented security challenges and market opportunities.
Generative AI moves from exploration to deployment. By 2028, over 75% of enterprises are expected to deploy AI agents deeply integrated into core business processes.
Attack vectors extend to model weights, training data, and prompts. Threats like prompt injection and model poisoning are rising; global rules such as the EU AI Act are tightening compliance costs.
Enterprises urgently need professional AI security services. The market is projected to grow from $15B to over $50B during 2026–2030, a 35.2% CAGR.
Building a proactive defense system across the full AI lifecycle, from data security and model security to application security, safeguarding innovation in the intelligent era.
Built on a six-layer protection model covering data, models, and applications end-to-end, forming a closed-loop defense from prevention and detection to response.
Establish enterprise-wide security policies and compliance baselines; achieve full-lifecycle visibility and risk monitoring of AI assets.
Strengthen authentication and least-privilege access, with fine-grained authorization for agent interactions to prevent unauthorized access.
Cover the full data lifecycle from collection and storage to destruction, using encryption, masking, and privacy-preserving techniques.
Embed security across the AI development lifecycle; audit third-party models and components to prevent malware, backdoors, and poisoning.
Monitor model inference and interactions in real time; intelligently block adversarial attacks, data leakage, hallucinations, and abuse.
Establish automated response to rapidly detect, contain, and trace incidents; ensure business continuity and fast recovery.
Building a full-lifecycle AI security defense from development to operations, achieving closed-loop prevention, monitoring, and response.
Data security is the cornerstone of trustworthy AI. From source control and privacy compliance to knowledge base hardening and cross-border flows, we build end-to-end data protection.
Leveraging a professional technical team and standardized assessment methodology, we deeply detect model vulnerabilities, data privacy, and compliance risks, providing full-lifecycle security and compliance assurance for your AI applications.
Large Language Model · Security, Robustness & Compliance
Test guardrail effectiveness against manipulative prompts that bypass restrictions to perform unauthorized actions.
Assess whether models leak training data, system prompts, or user privacy; identify masking gaps.
Test training pipelines and RAG knowledge bases; identify malicious data injection impacts on output.
Assess risks of harmful or misleading output; verify content filtering and moderation effectiveness.
Verify security of third-party models, dependencies, and datasets; ensure reliable component sources.
Test for resource exhaustion or unrestricted consumption; evaluate concurrency and rate-limiting.
Autonomous Agents · Decision Boundaries & Behavioral Control
Test whether agents exceed predefined permissions, call sensitive tools, or elevate privileges to prevent abuse.
Deep-check tool call parameters for tampering, malicious injection, and unauthorized external API calls.
Verify authentication flows, access policies, and credential management to prevent identity spoofing.
Evaluate task execution logic and feedback mechanisms; detect infinite loops, goal drift, or uncontrolled autonomous behavior.
Review high-risk operation confirmation mechanisms; prevent manipulative commands and unauthorized sensitive actions.
Business Applications · End-to-End Security
Comprehensive penetration testing of AI API endpoints, focusing on authentication, encryption, anti-replay, and rate-limiting controls.
Map the full data lifecycle from collection to inference; identify leakage, tampering, and unauthorized access risks.
Assess fairness and robustness of AI decisions; detect algorithmic bias, adversarial vulnerabilities, and bypass of business risk controls.
Verify AI explainability, data source legitimacy, and audit logging; ensure compliance with GDPR, PIPL, and other regulations.
Built on cutting-edge AI security architecture and deep industry expertise, we have built a dual barrier of technology and services. From intelligent defense to proactive response, we provide end-to-end security capabilities for our clients.
Senior architects and AI security experts with deep experience in finance, tech, and government. Offense-driven defense through red teaming for complex scenarios.
Proficient in Hong Kong PDPO and AI guidelines, closely following Mainland AI compliance. Specialized in Greater Bay Area cross-border data flows.
Aligned with MITRE ATLAS, NIST AI RMF, and other international frameworks; covering full-stack assessment of LLMs, agents, and applications.
Looking forward to building a secure AI future together.