Designed for Today’s LLM Use Cases.
Engineered for What Comes Next.
solution 1
Consumer-Facing AI
Safety
For travel, e-commerce, and consumer apps using LLM chatbots, brand trust hinges on every word. Cyvia helps product and security teams ensure chatbots remain attack-free, preempt unsafe or off-brand responses, test for edge cases, and review conversations at scale.
Red-teaming tools to simulate adversarial inputs
Configurable allow & block logic for sensitive topics or PII.
Output safety tagging like hallucination, over-disclosure, risky links.
solution 2
Developer & Internal
LLM Governance
Your developers are using models to write code, answer queries, and summarize data. Cyvia ensures these LLM tools aren’t inadvertently leaking secrets or creating risky outputs inside your enterprise.
Real-time prompt-response monitoring for dev tools
Detection of API misuse, unintended code generation, or IP leakage
Role-based insights into who asked what and why
solution 3
Compliance with AI-Driven Workflows
Regulators are catching up to AI use. Cyvia makes sure you’re ahead—by recording, analyzing, and classifying every LLM exchange with context, risk level, and business impact in view.
Semantic labeling aligned to data governance policies
Exportable logs for audits or AI incident response
Custom policies by region, role, or use-case
solution 4
AI Product Observability for Builders
Building an AI feature into your app? Cyvia gives product and ML teams the lens they need to observe live model behavior, test in staging, and safely iterate without shipping risky interactions.
Drop-in API hooks for dev/staging/test environments
Semantic diffing of model responses across versions
Prompt-replay and response feedback loop tooling
Designed for Today’s LLM Use Cases. Engineered for What Comes Next.
solution 1
Consumer-Facing AI Safety
For travel, e-commerce, and consumer apps using LLM chatbots, brand trust hinges on every word. Cyvia helps product and security teams ensure chatbots remain attack-free, preempt unsafe or off-brand responses, test for edge cases, and review conversations at scale.
Red-teaming tools to simulate adversarial inputs
Configurable allow & block logic for sensitive topics or PII.
Output safety tagging like hallucination, over disclosure, risky links.
solution 2
Developer & Internal LLM Governance
Your developers are using models to write code, answer queries, and summarize data. Cyvia ensures these LLM tools aren’t inadvertently leaking secrets or creating risky outputs inside your enterprise.
Detects API misuse, unintended code, or IP leaks
Real-time prompt-response monitoring for dev tools
Role-based insights into who asked what and why
solution 3
Compliance with AI-Driven Workflows
Regulators are catching up to AI use. Cyvia makes sure you’re ahead—by recording, analyzing, and classifying every LLM exchange with context, risk level, and business impact in view.
Exportable logs for audits or AI incident response
Custom policies
by region, role, or use-case
solution 4
AI Product Observability for Builders
Building an AI feature into your app? Cyvia gives product and ML teams the lens they need to observe live model behavior, test in staging, and safely iterate without shipping risky interactions.
Drop-in API hooks for dev/staging/test environments
Semantic diffing of
model responses across versions
Prompt-replay and response feedback loop tooling
Designed for Today’s LLM Use Cases.
Engineered for What Comes Next.
solution 1
Consumer-Facing AI Safety
For travel, e-commerce, and consumer apps using LLM chatbots, brand trust hinges on every word. Cyvia helps product and security teams ensure chatbots remain attack-free, preempt unsafe or off-brand responses, test for edge cases, and review conversations at scale.
Red-teaming tools to simulate adversarial inputs
Configurable allow & block logic for sensitive topics or PII.
Output safety tagging like hallucination, over-disclosure, risky links.
solution 2
Developer & Internal LLM Governance
Your developers are using models to write code, answer queries, and summarize data. Cyvia ensures these LLM tools aren’t inadvertently leaking secrets or creating risky outputs inside your enterprise.
Real-time prompt-response monitoring for dev tools
Detection of API misuse, unintended code generation, or IP leakage
Role-based insights into who asked what and why
solution 3
Compliance with AI-Driven Workflows
Regulators are catching up to AI use. Cyvia makes sure you’re ahead—by recording, analyzing, and classifying every LLM exchange with context, risk level, and business impact in view.
Semantic labeling aligned to data governance policies
Exportable logs for audits or AI incident response
Custom policies by region, role, or use-case
solution 4
AI Product Observability for Builders
Building an AI feature into your app? Cyvia gives product and ML teams the lens they need to observe live model behavior, test in staging, and safely iterate without shipping risky interactions.
Drop-in API hooks for dev/staging/test environments
Semantic diffing of model responses across versions
Prompt-replay and response feedback loop tooling
