This data sheet provides an overview of the SPLX Platform’s AI Runtime Protection capabilities – essential for CISOs, AI security teams, and engineering leaders responsible for securing live AI systems and workflows in production. Acting as a real-time firewall for AI, the platform monitors and filters all inputs and outputs to detect jailbreaks, prevent data leakage, and enforce behavioral boundaries.

Block AI Threats in Real Time

• Enforce input and output guardrails to stop prompt injections, jailbreaks, and unsafe responses

• Continuously monitor deployed AI systems to catch malicious behavior as it happens

• Reduce legal, security, and reputational risk with proactive threat mitigation

Define and Enforce Custom AI Policies

• Create off-topic filters based on your business, industry, or compliance needs

• Enforce boundaries for what your AI can and cannot respond to – across inputs and outputs

• Adapt filters with precision controls to balance safety and usability

Drill Into Flagged Threats with Full Visibility

• Access detailed telemetry on blocked prompts, flagged outputs, and user interactions

• Investigate attack traces, threshold triggers, and detection logic in context

• Uncover patterns and improve protection with data-driven feedback loops

Protect AI Without Sacrificing Performance

• Run inline threat detection with negligible latency in production environments

• Enforce real-time controls without degrading UX or model responsiveness

• Ensure security coverage without slowing down innovation

Give your deployed AI systems the same level of protection as your pre-launch testing. Download the data sheet to see how SPLX helps organizations secure LLMs and agents in production – with real-time threat detection, custom policy enforcement, and zero performance trade-offs.