AI is quietly rewriting the operational logic of enterprises, gradually penetrating every link from creative generation to decision-making, and becoming a new engine in the mainstream business process.
But as the application deepens, new challenges gradually emerge: unpredictable model output, blurred compliance boundaries, and increasingly complex data responsibilities - the speed of technological advancement is putting forward new requirements for the security governance capabilities of enterprises.
How to deal with security challenges?
Content compliance risk: The model may output non compliant and risky information due to its inability to review directive guidance or assess the impact of generated results.
Confronting security risks: Attackers may induce the leakage of model meta Prompt, use the model to bypass restrictions, trigger character escape and breach permissions, exploit application vulnerabilities for manipulation, and perform model inversion and data recovery.
Data security issues: Generative artificial intelligence may have deficiencies in privacy protection, intellectual property maintenance, and data quality control during data processing, leading to issues such as leakage of industry/commercial secrets and output containing personal privacy information.
Green Alliance AI Security Protection Integrated Machine
Green Alliance Technology has launched a professional and integrated security product AI security protection all-in-one machine to ensure the application of large models, providing a "ALL IN ONE" large model security protection solution. The AI security protection all-in-one machine can be equipped with various big model security capabilities such as large model security assessment, content security protection, and data security protection, providing compliant and reliable security guarantees for industries such as operators, finance, government, healthcare, and manufacturing.
The AI security protection all-in-one machine creates three lines of defense, namely "evaluation+reinforcement", "blocking+answering", and "auditing+backtracking", to safeguard the security and compliance of the input and output content of the large model.
The first line of defense
Large model security risk assessment+prompt word reinforcement
Built in large model security assessment system (AI-SCAN) evaluates and verifies the compliance risks and content adversarial security risks of large model content security, identifies content risks such as non compliant content output, model illusion, and character escape, and links with the large model application protection system to generate matching content protection strategies.
Second Line of Defense
Non compliant content blocking+red line content answering on behalf of others
Support the detection and interception of illegal questions and sensitive topic content during the use of large models, conduct security checks on the content generated by large models, provide red line content responses for non compliant questions and sensitive topics, and block responses that violate core values and may cause data leakage.
The third line of defense
Input/output content audit+security audit backtracking
The AI security all-in-one machine can audit and record relevant content related to user input questions and training data input by large models, and link with the security large model to trace sensitive and non compliant content. Once non compliant content is detected, it will immediately alert and stop user questioning, interrupt data input, and reduce compliance risks.
