How it Works
AIceberg provides enterprise-grade AI security with real-time, automated validation of all AI application traffic — speech, text, or source code.
AIceberg allows you to unlock the power of AI—without any of the risks.
Safety
Guardrails ensure only use case relevant AI interactions are permitted. Prevent unsanctioned, unsuitable, or illegal content. Ensure privacy and automatically redact personal or sensitive information.
Security
Ensure your security posture is always up to date for the latest attack vectors. AIceberg can detect common AI cybersecurity attack vectors like prompt injection and jailbreaking or perform sophisticated security analysis for agentic workflows.
Compliance
Get the highest degree of compliance, transparency, and auditability. Our explainable, non-generative AI models provide maximum accuracy and are auditable beginning to end so there’s no guessing.
Observability
Enterprise observability across all AI interactions. Understand what are common prompts, objectives, and intentions to constantly improve your user’s experience and gain valuable business intelligence from communication mining of prompt/response pairings.
How AIceberg Works
We take a layered approach to safety, security, and compliance through observed AI. Acquire more context about user intent, identify the appropriate information to service this request, control the content shared with both users and the AI, detect vulnerabilities that could compromise your reputation or expose liability, and ensure alignment between this model's intended purpose and the user's intent. Each layer deploys multiple risk signal models to accomplish these objectives.
Risk Signals Library
Robust and growing library of AI threat detection tools to help you power safe, secure, and compliant use of generative models across your enterprise.
PII
Detects and safeguards sensitive user information such as social security numbers, addresses, emails, etc.
PHI
Identifies and protects medical-related data, including patient history, treatment details, and insurance information.
PCI
Detects and protects payment-related information such as credit card numbers, expiration dates, and CVV codes.
Secrets
Identifies and redacts sensitive system credentials such as API keys, passwords, and cryptographic keys.
Toxicity
Flags and mitigates harmful, inappropriate, or offensive content.
Illegality
Prevents the generation or dissemination of content that could violate laws.
Blocklists
Restricts AI responses involving predefined banned words, phrases, or topics.
Code Present & Code Requested
This signal alerts when code is present or requested.
Input & Output Manipulation
Neutralizes threats like prompt injection, jailbreaks, self-referential injection, instruction overrides, role impersonation, and direct command manipulation.
Goal Alignment
Ensures AI’s actions remain aligned with intended objectives and user directives.
Text-to-SQL
Ensures accurate language-to-database query translation for structured data interactions.
Instruct-to-Action
Aligns AI-generated actions with user instructions for accountability.
PII
Detects and safeguards sensitive user information such as social security numbers, addresses, emails, etc.
PII
Identifies and protects medical-related data, including patient history, treatment details, and insurance information.
PCI
Detects and protects payment-related information such as credit card numbers, expiration dates, and CVV codes.
Secrets
Identifies and redacts sensitive system credentials such as API keys, passwords, and cryptographic keys.
Toxicity
Flags and mitigates harmful, inappropriate, or offensive content.
Illegality
Prevents the generation or dissemination of content that could violate laws.
Blocklists
Restricts AI responses involving predefined banned words, phrases, or topics.
Code Present & Code Requested
Controls when executable code is present and ensures it is only provided when explicitly requested.
Input & Output Manipulation
Neutralizes threats like prompt injection, instruction overrides, and direct command manipulation.
Goal Alignment
Ensures AI’s actions remain aligned with intended objectives and user directives.
Text-to-SQL
Ensures accurate language-to-database query translation for structured data interactions.
Instruct-to-Action
Aligns AI-generated actions with user instructions for accountability.
Context Relevance
Ensures the content generated is pertinent to the context of the interaction.
High-Level Objective
Clarifies the overarching goals the AI should achieve in each interaction.
Intent
Understanding and aligning with the user's purpose.
Toxicity
Flags and mitigates harmful, inappropriate, or offensive content.
Illegality
Prevents content that may violate laws.
Blocklists
Restricts AI responses involving predefined banned words, phrases, or topics.
Code Present
Controls when executable code is present and ensures it is only provided when explicitly requested.
Input Manipulation
Neutralizes threats like prompt injection, instruction overrides, and direct command manipulation.
Output Manipulation
Stops the leaking of prompts that could reveal sensitive information or internal system data.
Goal Alignment
Prevents goal hijacking, ensuring AI's actions remain aligned with its intended purpose.
Text-to-SQL
Ensures accurate language-to-database query translation for structured data interactions.
Instruct-to-Action
Aligns AI-generated actions with user instructions for accountability.
PII
Detects and safeguards sensitive user information such as social security numbers, addresses, emails, etc.
PII
Identifies and protects medical-related data, including patient history, treatment details, and insurance information.
PCI
Detects and protects payment-related information such as credit card numbers, expiration dates, and CVV codes.
Secrets
Identifies and redacts sensitive system credentials such as API keys, passwords, and cryptographic keys.
Toxicity
Flags and mitigates harmful, inappropriate, or offensive content.
Illegality
Prevents the generation or dissemination of content that could violate laws.
Blocklists
Restricts AI responses involving predefined banned words, phrases, or topics.
Code Present & Code Requested
Controls when executable code is present and ensures it is only provided when explicitly requested.
Input & Output Manipulation
Neutralizes threats like prompt injection, instruction overrides, and direct command manipulation.
Goal Alignment
Ensures AI’s actions remain aligned with intended objectives and user directives.
Text-to-SQL
Ensures accurate language-to-database query translation for structured data interactions.
Instruct-to-Action
Aligns AI-generated actions with user instructions for accountability.
Context Relevance
Ensures the content generated is pertinent to the context of the interaction.
High-Level Objective
Clarifies the overarching goals the AI should achieve in each interaction.
Intent
Understanding and aligning with the user's purpose.
Toxicity
Flags and mitigates harmful, inappropriate, or offensive content.
Illegality
Prevents content that may violate laws.
Blocklists
Restricts AI responses involving predefined banned words, phrases, or topics.
Code Present
Controls when executable code is present and ensures it is only provided when explicitly requested.
Input Manipulation
Neutralizes threats like prompt injection, instruction overrides, and direct command manipulation.
Output Manipulation
Stops the leaking of prompts that could reveal sensitive information or internal system data.
Text-to-SQL
Ensures accurate language-to-database query translation for structured data interactions.
Instruct-to-Action
Aligns AI-generated actions with user instructions for accountability.
Context Relevance
Ensures the content generated is pertinent to the context of the interaction.
High-Level Objective
Clarifies the overarching goals the AI should achieve in each interaction.
Intent
Understanding and aligning with the user's purpose.
Toxicity
Flags and mitigates harmful, inappropriate, or offensive content.
Illegality
Prevents content that may violate laws.
Blocklists
Restricts AI responses involving predefined banned words, phrases, or topics.
Code Present
Controls when executable code is present and ensures it is only provided when explicitly requested.
Input Manipulation
Neutralizes threats like prompt injection, instruction overrides, and direct command manipulation.
Output Manipulation
Stops the leaking of prompts that could reveal sensitive information or internal system data.
Text-to-SQL
Ensures accurate language-to-database query translation for structured data interactions.
Instruct-to-Action
Aligns AI-generated actions with user instructions for accountability.
PII
Detects and safeguards sensitive user information such as social security numbers, addresses, emails, etc.
PII
Identifies and protects medical-related data, including patient history, treatment details, and insurance information.
PCI
Detects and protects payment-related information such as credit card numbers, expiration dates, and CVV codes.
Secrets
Identifies and redacts sensitive system credentials such as API keys, passwords, and cryptographic keys.
Toxicity
Flags and mitigates harmful, inappropriate, or offensive content.
Illegality
Prevents the generation or dissemination of content that could violate laws.
Blocklists
Restricts AI responses involving predefined banned words, phrases, or topics.
Code Present & Code Requested
Controls when executable code is present and ensures it is only provided when explicitly requested.
Input & Output Manipulation
Neutralizes threats like prompt injection, instruction overrides, and direct command manipulation.
Goal Alignment
Ensures AI’s actions remain aligned with intended objectives and user directives.
Text-to-SQL
Ensures accurate language-to-database query translation for structured data interactions.
Instruct-to-Action
Aligns AI-generated actions with user instructions for accountability.
Context Relevance
Ensures the content generated is pertinent to the context of the interaction.
High-Level Objective
Clarifies the overarching goals the AI should achieve in each interaction.
Intent
Understanding and aligning with the user's purpose.
Toxicity
Flags and mitigates harmful, inappropriate, or offensive content.
Illegality
Prevents content that may violate laws.
Blocklists
Restricts AI responses involving predefined banned words, phrases, or topics.
Code Present
Controls when executable code is present and ensures it is only provided when explicitly requested.
Input Manipulation
Neutralizes threats like prompt injection, instruction overrides, and direct command manipulation.
Output Manipulation
Stops the leaking of prompts that could reveal sensitive information or internal system data.
Goal Alignment
Prevents goal hijacking, ensuring AI's actions remain aligned with its intended purpose.
Text-to-SQL
Ensures accurate language-to-database query translation for structured data interactions.
Instruct-to-Action
Aligns AI-generated actions with user instructions for accountability.
Why Choose AIceberg?
Dedicated to empowering enterprises on their AI journey, from day zero to scale, unlocking transformative value at every stage
Purpose-Built
Never use a black box to police a black box. AI needs a human-centric control plane that is transparent, explainable, and comprehensive. AIceberg orchestrates 20+ non-generative, specialized models for comprehensive safety, security, and compliance coverage.
Future-Proof
AIceberg works independently of AI applications, using the content of input and output to detect and eliminate risks. Our AI-agnostic approach uniquely positions us to accompany you through rapid technology changes, during which our platform performs as a long-term anchor and ground truth.
Grounded in Research
AIceberg invested early in academic partnerships and our research lab so that leading data science principles guided our product development. AIceberg was purpose-built to support your enterprise with metrics and insights on your safe, secure, and compliant adoption of AI.
Use Cases
Dedicated to empowering enterprises on their AI journey, from day zero to scale, unlocking transformative value at every stage.
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