Why Security Matters in AI Adoption
Many companies hesitate to integrate AI due to concerns over data exposure. UiPath addresses this by ensuring AI agents never handle sensitive details directly. Instead, rule-based robots manage data access, keeping credentials secure. This approach eliminates the risk of unauthorized exposure while maintaining efficiency.
How Rule-Based Robots Keep Data Safe
Robots follow strict guidelines to fetch only necessary information for each task. Unlike traditional systems, they don’t share passwords or API keys with AI agents. Every request goes through predefined rules, reducing vulnerabilities. The result? A seamless workflow without compromising security.
The Role of the AI Trust Layer
Beyond basic automation, UiPath includes advanced safeguards. Administrators control access at a detailed level, ensuring only approved interactions occur. Third-party models undergo strict content filtering to block harmful inputs. Personal and sensitive details stay hidden through automatic masking, adding another layer of protection.
Transparency and Compliance in Every Step
Every action taken by AI agents is logged and traceable. Enterprises can review these records to verify adherence to internal policies. Secure context passing prevents leaks during data transfers. Dynamic guardrails adjust in real time, preventing unintended behavior before it becomes a problem.