Highflame Platform

Highflame Platform is an agent control fabric designed to provide security, governance, and observability for autonomous AI systems, including LLM-based applications, multi-agent workflows, and tool-integrated pipelines. The platform operates across LLM, MCP (Model Context Protocol), A2A (agent-to-agent), and A2P (agent-to-plugin) interactions through a unified, identity-aware control layer. It enforces context-aware guardrails that adapt across multi-turn conversation lifecycles rather than only at the initial prompt. Core capabilities include: - Input Shielding: Real-time validation and policy-based prompt filtering to block unsafe or unintended requests before they reach the model. - Precision Guardrails: Fine-grained controls that detect and prevent prompt injection, poisoned inputs, and risky tool calls, adapting to intent and context in real time. - MCP Hardening: Scanning and verification of MCP manifests, connections, and servers before and during agent operation. - Access Control Fabric: Least-privilege boundary enforcement restricting agent access to authorized models, data sources, and tools. - Runtime Safety Locks: Dynamic enforcement preventing agents from executing outside their defined operational scope. - Malware and Phishing Defense: Detection and blocking of malicious payloads, phishing links, and unsafe content across prompts, tool outputs, and file attachments. - Conversation Drift Protection: Analysis of conversation history to detect multi-turn exploitation, context creep, intent shifts, and jailbreak patterns. - Sensitive Data Redaction: Automated detection and removal of PII, PHI, secrets, and credentials using 150+ prebuilt detectors. - Agentic Context Graph: A live knowledge graph mapping agent interactions, prompts, policies, tools, and data flows for real-time visibility. - Telemetry and Audit: OpenTelemetry-native streaming traces and tamper-proof audit trails aligned with enterprise compliance frameworks. - Dynamic Control Plane: Real-time throttling, rate limiting, and runtime controls across agents. The platform is built with sub-100ms enforcement latency for enterprise-scale deployments.