The result: every AI interaction is safe, ethical, and compliant, protecting both users and the enterprise.
Safety & Responsible AI
Aiceberg’s Role
Grounded in Responsible AI (RAI) principles like fairness, accountability, and non-maleficence, Aiceberg acts as a real-time ai safety layer. It detects and blocks unsafe behaviors through key risk signals such as Toxicity, Bias, Illegality, and Sentiment—stopping harmful language, preventing unlawful actions, and flagging negative or unfair responses before they reach the user.
Keep Every AI Interaction Safe and On-Brand
Aiceberg detects and filters toxic, offensive, or unsafe content in real time—ensuring AI interactions remain respectful, compliant, and aligned with your organization’s standards. Whether it’s internal collaboration or customer-facing communication, Aiceberg stops harmful language before it reaches production.
By preventing toxicity at the source, Aiceberg helps enterprises protect users and preserve brand trust. Every response stays professional and on-message, reinforcing your organization’s commitment to responsible AI and maintaining a culture of safety across all AI-driven workflows.
Prevent Unlawful or Non-Compliant AI Outputs
Aiceberg safeguards your organization from illegal or policy-violating content before it’s ever produced or shared. By analyzing prompts and responses in real time, it stops AI from generating material that could breach regulations, intellectual property laws, or corporate governance standards.
This proactive oversight ensures your teams stay compliant and audit-ready, even as AI scales across business units. With Aiceberg, every output respects legal boundaries, mitigates risk exposure, and strengthens your enterprise’s Responsible AI posture.
Detect Emotion Before It Becomes a Risk
Aiceberg continuously monitors emotional tone and sentiment across AI interactions, flagging frustration, manipulation, or unsafe intent before they escalate. By understanding the emotional context behind user inputs and model outputs, Aiceberg helps your teams maintain control, empathy, and security.
This capability turns sentiment analysis into a safety signal—detecting early signs of misuse, escalation, or potential harm. Whether it’s preventing an agent from being manipulated or protecting users from distressing responses, Aiceberg keeps every AI exchange stable, responsible, and human-centered.
Build Fair, Inclusive, and Accountable AI
Aiceberg identifies and prevents biased or discriminatory outputs before they reach users, ensuring your AI systems treat every individual fairly and respectfully. By monitoring language, context, and data patterns, Aiceberg helps organizations eliminate bias from AI-driven decisions and conversations.
This proactive detection aligns your enterprise with ESG and Responsible AI standards, supporting ethical innovation without sacrificing speed or scalability. With Aiceberg, fairness isn’t an afterthought—it’s a built-in layer of security that strengthens trust across your teams, customers, and stakeholders.
Get Started with Aiceberg
Send AI interactions to Aiceberg
Route employee AI prompts and responses from SaaS LLMs like ChatGPT into Aiceberg in real-time.
Aiceberg analyzes
The platform detects intent, entity, and detailed code generation review signals.
Forward filtered signals to your SIEM
Only actionable, policy-relevant events are sent to your security tools.
Review Aiceberg dashboard
Access metrics, trends, and insights to guide training, enforce policies, and optimize AI adoption.
