Designed to meet the demands of tomorrow, our platform offers unmatched scalability, management, and security.
Security, availability and confidentiality trust
EU-compliant data protection protocols
Application security & governance framework
Shelf uses Whistic to securely share company and product security profiles as well as detailed documentation required for vendor security assessments.
Our services are hosted on leading cloud infrastructure with advanced network and perimeter protection.
We deploy a web application firewall and DDoS protections to safeguard against external threats.
We conduct regular vulnerability scanning and annual penetration testing to identify and mitigate risks.
We are SOC2 Type II certified, reflecting our commitment to high security standards.
Our business continuity planning prepares us to maintain operations and security under various scenarios.
We maintain a strong focus on security awareness, training, and 24/7 risk management to ensure our staff is prepared to identify and mitigate risks.
Vendor risk management processes are in place to ensure all third-party services meet our stringent security standards.
We use logical tenant separation, encryption in transit (TLS 1.2+), and encryption at-rest (AES-256) to ensure data protection.
We are compliant with GDPR and CCPA, ensuring all data handling respects privacy laws and user rights.
Yes, users have the option to opt out of AI features to maintain control over their data usage.
We adhere to SOC2 Type II and perform various self-assessments including CAIQ, VSA, and PCI.
AI models are hosted securely, with no data sharing across tenants for LLM training and fine-tuning.
Regular audits, continuous monitoring, and updates to our practices ensure we remain compliant with evolving privacy laws.
We follow the OWASP Top 10 LLM Framework and GenAI Security & Governance Framework to ensure the security and governance of our AI implementations.
This guide designed to help teams working on GenAI Initiatives gives you five actionable strategies for RAG pipeline that will improve answer quality and prevent hallucinations.
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