AI Security at ZeroBounce

Post-Deployment Monitoring & Governance

All AI deployments are continuously monitored in real time. User inputs are retained for 30 days in accordance with our global data policy, after which they are securely deleted. Systems for appeal, override, decommissioning, incident response, and change management follow established company-wide security protocols.

Content Validation & Bias Mitigation

We ensure our AI generates accurate and responsible content by restricting input data to thoroughly vetted public sources—namely, our website and official documentation. Each AI release undergoes rigorous validation to mitigate risks like bias or hallucination.

Intrusion Detection & Security Controls

ZeroBounce AI systems are engineered with strong defenses against prompt injection, prompt priming, and model tampering. Our architecture prevents any unauthorized access or modification of prompts or models.

Transparency & Explainability

A built-in debug mode provides insights into the AI’s decision-making process, offering visibility into the data reviewed and increasing trust through explainability.

Data Handling & Protection

We do not ingest private or user-submitted datasets into our AI systems—only public data is used. Sensitive company data remains protected behind corporate firewalls and VPNs. Data deletion follows the same 30-day retention rule as the rest of the organization.

Threat Resistance & Risk Management

Threats like data poisoning or model inversion are not considered relevant due to the nature of our public data sources. However, all identified risks are documented and regularly assessed by our Quality Assurance team to ensure continued safety.

In-House AI Infrastructure

All AI models and infrastructure are developed and maintained in-house. We do not rely on third-party vendors, eliminating external exposure and ensuring full control over our AI ecosystem.