01 · Monitor every inference call
Prompt-level and response-level traffic is monitored 24x7 across both direct-call applications and MCP-based agentic applications.
AI Security
Managed AI Runtime Security
24x7 monitoring and real-time blocking of prompt injection, jailbreak attempts and sensitive output, at the inference layer, for both direct-call and agentic applications.
- 24x7 Inference-layer monitoring across non-agentic and MCP-based agentic applications
- Real-time Inline blocking of prompt injection and jailbreak attempts, not just alerting
- Monthly Runtime security operations report with OWASP LLM coverage mapping
The challenge
Adversaries have exploited generative AI tools at more than ninety organizations, with a leading AI assistant now mentioned five hundred fifty percent more often in criminal forums. The inference layer, where prompts go in and responses come out, is increasingly where the actual attack happens, and it is the layer most AI deployments monitor the least.
Approach
How the engagement works
02 · Block in real time
Prompt injection and jailbreak attempts are detected and blocked inline, at the inference edge, not just flagged after the fact using AI-driven behavioral analytics and adaptive policy enforcement continuously.
03 · Triage and report
Incidents are triaged within SLA, with monthly operations reporting and quarterly tuning to keep pace with new attack techniques through continuous threat intelligence updates, policy refinement, and optimization.
How it works
From an unmonitored inference layer to real-time blocking
What’s included
- 24x7 monitoring of inference-layer traffic for non-agentic and MCP-based applications
- Real-time prompt injection detection and blocking
- Jailbreak and safety-control bypass detection and blocking
- Real-time output content filtering for sensitive content
- Incident triage and notification within contracted SLA
- Monthly operations report with OWASP LLM coverage mapping
Outcomes
- Prompt injection and jailbreak attempts blocked before they reach a response
- Sensitive content filtered at the inference edge, not discovered after the fact
- Coverage extended to agentic applications using MCP, not just direct API calls
Why Gruve
Most AI deployments monitor everything except the inference layer itself Gruve watches and blocks at exactly that layer
A firewall around your AI application does nothing if the attack happens inside the prompt and response itself. This service monitors that inference layer around the clock, for both traditional and agentic applications, and blocks injection and jailbreak attempts inline instead of just logging them for later review.
Gruve Differentiator
Gruve Managed AI Runtime Security
Unmonitored Inference Layer
Business Requirements
Organizations that want prompt-level and response-level threats blocked in real time
Organizations relying on network and endpoint security alone to protect AI applications
Service Model
24x7 inference-layer monitoring operated across your AI applications
No dedicated monitoring at the point where prompts and responses actually flow
Technology & Expertise
Injection and jailbreak attempts blocked inline, at the inference edge
Attacks discovered only if they cause a visible downstream problem
Approach & Capabilities
Coverage extended to MCP-based agentic applications
Agentic applications left unmonitored at the inference layer entirely
Governance & Assurance
Real-time output filtering for sensitive content
Sensitive output reaches the user before anyone reviews it
AI Security
Often deployed together
AI Security Assessment
Analysis of your AI estate combining a baseline inventory, adversarial red team testing and a model builder pipeline review.
Learn moreManaged AI Data Security
Classification, DLP policy and audit logging for the data flowing through AI prompts and responses.
Learn moreAI Governance & Compliance Programme
Operation of a maintained AI governance register and control mapping against your chosen frameworks.
Learn moreTestimonials
The inference layer, finally watched
not the one blind spot in the stack
The partnership with Gruve brings significant value to customers by combining thought leadership, delivery, and execution of services. Leveraging AI/ML and Cloud tools in delivering software integrations and services can significantly ease transitions for large enterprise organizations.
Book your assessment
Start with a clear application inventory before monitoring begins
Stop AI threats the moment they happen. Talk to us about managed runtime protection for your models.
- AI applications inventoried and classified as agentic or non-agentic upfront
- Inference-layer monitoring scoped to each application type
- SLA and escalation path agreed before go-live
Request a discovery call
A Gruve advisory lead will reach out within 1 business day.