AGENT SECURITY FABRIC

AI Is Becoming Autonomous. Your Safety Systems Should Too

As AI expands from single models to interconnected agents, tools, and data flows, most organizations lack the visibility, control, and governance to manage it safely. And without context-aware guardrails, real-time observability, and unified oversight, hidden risks, sensitive data exposure, and compliance gaps quietly erode trust and slow enterprise scale.

Supports thousands of models across AI providers

Secure every interaction

As AI systems become increasingly interconnected, Highflame provides a unified layer of control across every model, agent, and tool, operating simultaneously across  LLM, MCP, A2A, and A2P interactions. Its multi-turn, intent-aware guardrails understand context and purpose, enforcing security not just at the prompt, but across the full conversation lifecycle.

One Platform, Every Protocol

Protects LLM prompts, MCP tools, and agent-to-agent (A2A) and agent-to-payment (A2P) interactions through a single adaptive fabric.

Context-Aware Guardrails

Understands multi-turn intent and purpose, enforcing protection that dynamically adapts to the conversation flow.

Unified Policy Language with sub-millisecond enforcement

Cedar-based policy syntax governs access, safety, and compliance across all AI systems, with an optimized runtime that executes policies without impacting inference latency or throughput.

Ultra-Low Latency Architecture

Built for enterprise scale with sub-100ms enforcement, securing every interaction without slowing your systems down.

Adaptive Context Engine

Continuously interprets agent intent, memory, and data sensitivity to apply the right policy at the right moment.

Securely build and run your AI agents.

Scan models, MCPs, prompts, and tool configurations for hidden risks, then continuously apply policy as agents operate with users, data, and tools. Guardrails adapt to intent and context across multi-turn workflows to keep safeguards active throughout execution, not just at the first turn.

Input Shielding

Eliminate unsafe or unintended requests before they reach the model using real-time validation and policy-based prompt filtering.

Precision Guardrails

Automatically prevent poisoned inputs and risky tool calls with fine-grained controls that adapt in real time to intent and context.

MCP Hardening

Reduce downstream tool-chain risk by scanning and verifying MCP manifests, connections, and servers before agents go live—and continuously as they change.

Access Control Fabric

Enforce least-privilege boundaries so only authorized agents can access specific models, data sources, and tools.

Runtime Safety Locks

Stop agents from executing outside their defined scope with dynamic runtime enforcement.

Detect, Contain, and Neutralize Threats in Real Time

Defend your agents against malware, phishing, prompt injection, and unsafe tool behavior in real time. Highflame applies adaptive security across multi-turn workflows, protecting agents, data, and users while continuously enforcing your policies in production.

Malware & Phishing Defense

Detect and block malicious payloads, phishing links, and unsafe content across prompts, tool outputs, and file attachments.

Conversation Drift Protection

Prevent multi-turn exploitation and “context creep” by analyzing conversation history and spotting security drift, intent shifts, and jailbreak patterns.

Sensitive Data Redaction

Automatically detect and remove PII, PHI, secrets, and credentials with 150+ prebuilt detectors.

Integration Safeguards

Shield downstream MCPs, agents, and enterprise systems by validating tool calls and sanitizing untrusted tool responses before they propagate.

Instant Recovery Mode

Contain and remediate live threats instantly with triggers blocking agents, automated alerts, and autonomous remediation.

See Everything Your Agents See. Know Everything They Do.

Highflame’s Agentic Context Graph connects what your enterprise agents see, decide, and do across every workflow—linking agents, models, tools, and data access into a unified, continuously updated view. Security and engineering teams get always-on context for faster debugging, stronger governance, and more precise runtime enforcement as agents evolve.

Agentic Context Graph

Map every interaction, prompt, and policy into a live knowledge graph that connects agents, tools, and data flows, providing the foundation for real-time visibility and contextual security.

Traffic Intelligence & Analytics

Monitor latency, throughput, and key metrics in real-time. Understand how information moves, where it slows, and when it deviates from expected patterns.

Telemetry-First Architecture

Natively integrated with OpenTelemetry for streaming traces, giving you continuity from code to compliance.

Compliance-Grade Audit Trail

Generate immutable, tamper-proof records of every AI action aligned with enterprise risk, audit, and regulatory frameworks.

Dynamic Control Plane

Apply throttling, rate limits, and runtime controls across agents in real time to ensure reliability, compliance, and accountability.

Deliver AI responsibly, with trust, transparency, and compliance built in.

Highflame embeds governance, transparency, and auditability into every AI workflow, so teams can move fast without sacrificing control. Every policy, prompt, and agent action is traceable and explainable—continuously aligned with enterprise security and regulatory frameworks. Compliance becomes an always-on assurance layer, not a one-time checkbox.

Enterprise Policy Alignment

Align AI behavior with your organization’s existing security, privacy, and compliance policies, seamlessly extending them across every agent, model, and tool.

Automated Audit Reporting

Instantly generate audit-ready reports for internal teams or external regulators. Export clean, explainable logs that connect every AI decision back to its policy rationale.

Continuous Governance Fabric

Strengthen oversight and accountability with built-in archiving that preserves evidence, risk records, and compliance history automatically, all powered by Highflame’s unified policy framework.

Governance Dashboards

Visualize compliance posture, risk exposure, and active policy status in one unified view, giving executives and security teams shared visibility across all AI workflows.

Industry Standards Compliance

Stay in sync with OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and emerging AI safety standards with Highflame, continuously updating mappings as regulations evolve.

See every agent and understand every action.

Detect threats in multi-turn conversations.

Defend in real-time, adapt as AI evolves.

Why HighFlame?

Because AI security should understand context, not just content

Highflame was built to solve the hardest problem in AI security: protecting autonomous, context-aware agent systems without slowing teams down. Grounded in deep research across prompt security, multi-turn reasoning, and enterprise-grade governance, Highflame helps organizations move fast—safely.

01
Do you know where your AI agents are and what they’re doing?

As AI agents proliferate, most enterprises can’t protect what they can’t see. Highflame discovers every AI asset and agent across your enterprise, providing full visibility and preventing data leaks, misuse, and insecure code execution.

02
Can you continuously monitor how those agents act on your data and decisions?

With research-backed guardrails trained on adversarial and contextual data, Highflame detects unsafe actions — such as data exfiltration, code misuse, and compliance drift — before they impact operations.

03
When threats arise, can your defenses adapt in real time to protect what matters?

AI threats evolve by the minute. With Highflame’s adaptive runtime defense and Red Team engine, enterprises detect and neutralize attacks up to 4× faster than traditional AI security tools.

01
Why does AI need a new kind of security?

Modern AI isn’t a single model behind a chat box: it’s a dynamic network of agents, tools, and data flows making decisions autonomously. Traditional, static defenses can’t interpret these shifting interactions, enforce intent across multi-step workflows, or reliably protect systems they can’t fully observe.

02
Why not use any AI gateway?

Most gateways focus on single-turn prompt filtering. Highflame goes deeper: contextual, multi-turn guardrails combined with a unified policy engine and real-time observability. The result is a living map of how agents behave across model calls, tool use, and coordination—so protections adapt to context and governance stays continuous, not periodic.

03
How does Highflame help enterprises scale AI safely?

Highflame delivers <100ms enforcement at enterprise scale, giving security and compliance teams unified control without creating bottlenecks for developers. Teams can adopt and operate more agents with confidence, backed by consistent policy enforcement, complete auditability, and visibility into every agent interaction.

Problem Statement

As AI expands from single models to interconnected agents, tools, and data flows, most organizations lack the visibility, control, and governance to manage it safely. And without context-aware guardrails, real-time observability, and unified oversight, hidden risks, sensitive data exposure, and compliance gaps quietly erode trust and slow enterprise scale.

Secure every interaction

As AI systems become increasingly interconnected, Highflame provides a unified layer of control across every model, agent, and tool, operating simultaneously across  LLM, MCP, A2A, and A2P interactions. Its multi-turn, intent-aware guardrails understand context and purpose, enforcing security not just at the prompt, but across the full conversation lifecycle.

  • One Platform, Every Protocol

    Protects LLM prompts, MCP tools, agent-to-agent (A2A), and agent-to-payment (A2P) interactions all through a single adaptive fabric.

  • Context-Aware Guardrails

    Understands multi-turn intent and purpose, enforcing protection that dynamically adapts to the conversation flow.

  • Unified Policy Language with sub-millisecond enforcement

    Cedar-based policy syntax governs access, safety, and compliance across all AI systems with an optimized runtime that executes policies with no impact on inference latency or throughput.

  • Ultra-Low Latency Architecture

    Built for enterprise scale with sub-50ms enforcement securing every interaction without slowing your systems down.

  • Adaptive Context Engine

    Continuously interprets agent intent, memory, and data sensitivity to apply the right policy at the right moment.

  • Input Shielding

    Eliminate unsafe or unintended requests before they reach the model using real-time validation and policy-based prompt filtering.

  • Precision Guardrails

    Automatically block poisoned inputs or risky tool calls with fine-grained, real-time controls.

  • MCP Hardening

    Scan and verify tool manifests, connections, and servers before agents go live to Eliminate downstream risks by continuously scanning & verifying tool manifests, connections, and servers before agents go live.

  • Access Control Fabric

    Enforce privilege boundaries to ensure only authorized agents can access specific models, data, or tools.

  • Runtime Safety Locks

    Stop agents from executing outside their defined scope with dynamic runtime enforcement.

Securely build and run your AIagents.

Highflame enables teams to build faster and deploy confidently, with guardrails and adaptive enforcement built into every stage.

Detect, Contain, and Neutralize Threats in Real Time

Defend against malware, phishing, prompt injection, and unsafe tool behavior as they occur, while protecting agents, data, and users with adaptive runtime security.

Suggestion: Contain and remediate live threats instantly with triggered automated alerts and rapid response.

  • Malware & Phishing Defense

    Identify and block malicious payloads, phishing links, and unsafe outputs across models and tools in prompts and file attachments.

  • Conversation Drift Protection

    Prevent security, model drift and context-based exploitation in multi-turn flows through conversation history analysis.

  • Sensitive Data Redaction

    Automatically detect and remove PII, PHI, secrets, and credentials with 150+ prebuilt detectors.

  • Integration Safeguards

    Protect downstream MCPs, Agents, and systems from untrusted agent calls or unsafe tool responses.

  • Instant Recovery Mode

    Trigger automated alertsand rapid response to contain and remediate live threats immediately.

  • Agentic Context Graph

    Map every interaction, prompt, and policy into a live knowledge graph that connects agents, tools, and data flows, providing the foundation for real-time visibility and contextual security.

  • Traffic Intelligence & Analytics

    Monitor latency, throughput, and key metrics in real-time. Understand how information moves, where it slows, and when it deviates from expected patterns.

  • Telemetry-First Architecture

    Natively integrated with OpenTelemetry for streaming logs, metrics, and traces, giving you continuity from code to compliance.

  • Compliance-Grade Audit Trail

    Generate immutable, tamper-proof records of every AI action aligned with enterprise risk, audit, and regulatory frameworks.

  • Dynamic Control Plane

    Apply throttling, rate limits, and runtime controls across agents in real time to ensure reliability, compliance, and accountability.

See Everything Your Agents See. Know Everything They Do.

Highflame’s Agentic Context Graph reveals how your agents, models, and tools behave, connect, and evolve — giving security and engineering teams continuous context across every AI workflow and a unified view of how agents behave, connect, and evolve.

Deliver AI responsibly, with trust, transparency, and compliance built in.

Highflame embeds governance, transparency, and auditability into every AI workflow, helping teams deliver safe, compliant systems without slowing down innovation. Every policy, prompt, and agent action is traceable, explainable, and aligned with enterprise security and regulatory frameworks — turning compliance from a checkbox into a continuous assurance layer.

  • Enterprise Policy Alignment

    Align AI behavior with your organization’s existing security, privacy, and compliance policies, seamlessly extending them across every agent, model, and tool.

  • Automated Audit Reporting

    Instantly generate audit-ready reports for internal teams or external regulators. Export clean, explainable logs that connect every AI decision back to its policy rationale.

  • Continuous Governance Fabric

    Strengthen oversight and accountability with built-in archiving that preserves evidence, risk records, and compliance history automatically, all powered by Cedar’s unified policy framework.

  • Governance Dashboards

    Visualize compliance posture, risk exposure, and active policy status in one unified view, giving executives and security teams shared visibility across all AI workflows.

  • Industry Standards Compliance

    Stay in sync with OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and emerging AI safety standards with Highflame, continuously updating mappings as regulations evolve.

Why Highflame

Because AI security should understand context, not just content

Highflame was built to solve the most complex problem in AI: keeping autonomous, context-aware systems secure without slowing them down. Born from deep research in prompt security, multi-turn reasoning, and enterprise-scale governance, Highflame enables organizations to move fast safely.

Why does AI need a new kind of security?

Modern systems are dynamic networks of agents, tools, and data flows that make decisions autonomously. Traditional static defenses can’t see the dynamic interactions and can’t protect what they don’t understand.

AISPM

Why not use any AI gateway?

Highflame platform combines contextual, multi-turn guardrails with a unified policy engine and real-time observability, creating a live map of how AI behaves, adapts, and learns. This context graph powers adaptive protection and continuous governance that other gateways can’t match.

MCP Scan

Model Scan

How does Highflame help enterprises scale AI safely?

Highflame’s architecture delivers <100ms guardrails at a global scale, giving security and compliance teams unified control — without throttling innovation. The result is faster AI adoption, stronger governance, and complete confidence in every agent interaction.

Continuous trace injection & threat detection

Deploy how 
you want

SaaS

Private Cloud

On-Premise

Enterprise Ready

No Vendor Lock-In

Use any AI tools without vendor lock-in or disruptions

Comprehensive Model Support

Highflame natively supports thousands of models across all AI providers.

Easy Integration

Rapidly increase secure AI adoption with minimal code change

Getting
started is easy

Deploy HighFlame in our cloud, your cloud or even in your own data center

Book a demo