Enterprise Journey
Here you'll get a conceptual overview of how Highflame helps organizations securely innovate with AI. The platform empowers you to discover your AI footprint, monitor it for threats, and protect your systems.
Discover
To secure your AI, you need to understand where and how it's being used. Highflame gives you the tools you need to discover your complete AI footprint and proactively spot security risks across your enterprise.
With Highflame, you get 360-degree visibility into how AI is used across your organization. A centralized dashboard shows you where AI is being used in real time and tracks which applications are using AI, so you have a single source of truth for your enterprise and can address any unauthorized or untracked AI usage.
Monitor
After gaining a clear picture of your AI assets, the next step is continuous monitoring to detect security threats, enforce compliance, and identify workflow issues in real time. Highflame is built around a massively scalable AI ingestion engine that continuously collects and analyzes LLM traffic across your enterprise, giving you consistent visibility and control no matter where or how AI is used.
Centralized Monitoring and Observability
Every AI request processed by Highflame’s ingestion engine is captured, enriched, and analyzed, providing a unified view of your organization’s AI activity:
Dashboards:
Get real-time visibility into key metrics, including usage, performance, and model consumption. Track AI adoption trends, monitor costs, and spot security issues at a glance.
Traces:
For deeper investigation, such as incident response, debugging, or policy validation. Highflame provides detailed observability traces for every AI interaction, giving full request-and-response context across models, users, and applications.
Audit Archive:
For long-term compliance and governance, the Audit Archive maintains a durable, tamper-evident record of all AI interactions. This includes verifiable audit trails that meet regulatory, legal, and internal policy requirements.
Real-Time Threat Intelligence and Alerting
Highflame goes beyond passive logging by actively monitoring AI traffic for security, compliance, and operational risks:
Threat Alerts:
A centralized security dashboard provides a real-time feed of detected threats, policy violations, and anomalous AI behavior, enabling teams to respond immediately.
Guardrail Failure Insights:
Highflame continuously monitors the health and effectiveness of your AI security controls, detecting guardrail failures, enforcement gaps, or misconfigurations before they become incidents.
Third-Party Integrations:
Integrate Highflame into your existing security and operations workflows by sending alerts and events to tools like Slack and Splunk, ensuring rapid awareness and coordinated response.
Defend
Highflame gives you a comprehensive set of enforcement features that work in real time at the AI Gateway or through Guardrail API endpoints.
Real-Time Threat and Data Protection
Highflame is built on a powerful framework of Guardrail Processors, specialized multi-turn security modules that are chained together to inspect and enforce policies on every request and response, letting you tailor defense-in-depth security based on your enterprise's needs:
Threat Prevention: Highflame's guardrails are designed to detect and block a range of threats, including Prompt Injections, Jailbreaks, Phishing, Malware, and others, before they reach you or affect your users.
Sensitive Data Protection: Prevent data leakage with Highflame's automatic PII and PHI detection and redaction, including in user prompts and model responses.
Content Filtering: Ensure AI activity stays within your corporate and ethical guidelines with Trust & Safety guardrails that filter harmful content, and create Custom Guardrails to block organization-specific content.
Enterprise-Grade Controls and Governance
AI protection that goes beyond filtering threats to provide robust governance and access control:
Role-Based Access Control: Assign granular permissions to users and teams, so only authorized people can set security policies or access sensitive data.
Secure Credential Management: Highflame's Secrets Vault provides a safe, centralized repository for storing your provider API keys, encrypting them at rest and in transit, and supports API Key Virtualization, where your applications use a virtual key mapped to the real credential.
Policy-Based Access (Routes): You can use Routes to control access to specific models, helping manage risks and costs, or use the Automatic LLM selection feature to intelligently choose the best model for a request based on factors such as cost and performance.
Resilient, Reliable Operations
Highflame ensures that your AI services are accessible and running smoothly, with a super resilience gateway that improves system availability by gracefully degrading when internal components fail, protecting the user experience even in the event of unexpected issues:
Rate Limiting: Control request volume to prevent abuse and manage costs.
Automatic Retries: Automatically retry requests when an LLM provider experiences a temporary issue, such as a 503 Service Unavailable or 429 Too Many Requests.
Fallback Routing and Load Balancing: Avoid disruptions by automatically redirecting traffic if your provider experiences an outage, and distribute traffic across multiple models or accounts to improve performance and reliability.
Protect
Going beyond simple visibility, Highflame helps you proactively identify and eliminate AI security risks before they can be exploited:
Automated Red Teaming
Highflame Red is an advanced AI security capability that continuously stress-tests your AI applications using a coordinated set of specialized AI agents. These agents simulate real-world attack scenarios—such as prompt injection, data leakage, and policy bypass—to uncover weaknesses in your AI agents, guardrails, and workflows. This allows teams to identify vulnerabilities early and continuously validate the effectiveness of their defenses as models, prompts, and applications evolve.
Palisade: Zero-Trust Model Supply Chain Protection
Palisade brings a zero-trust approach to the AI model supply chain by treating model artifacts with the same rigor as software binaries, verifying integrity, provenance, and safety before they ever reach an inference server or CI/CD pipeline.
Palisade is an enterprise-grade ML model security scanner that:
Detects malicious payloads, backdoors, and tampering embedded in model files.
Applies a multi-layer validation pipeline checking artifact format, static security properties, and behavioral characteristics under controlled probes to reduce risk holistically.
Supports policy-driven enforcement and provenance (e.g., Sigstore signatures), enabling you to gate which models are allowed into development or production.
This transforms the model supply chain into an auditable, zero-trust control point, enabling you to confidently deploy only models that meet your security, compliance, and governance standards.
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