Sold by: highflame
Deployed on AWS
Highflame Security Platform secures AI agents with real-time guardrails, MCP security, multi-turn protection, autonomous red-teaming, and model scanning so enterprises can deploy AI safely at scale.
Overview
Highflame Security Platform is built to secure the full lifecycle of agentic and generative AI systems. As enterprises deploy autonomous agents that interact with models, tools, and sensitive data, Highflame provides real-time guardrails, multi-turn security, and MCP protection to prevent prompt injection, data leakage, unsafe tool execution, and supply chain risk. The platform continuously enforces policy across agent workflows, giving teams confidence that AI behavior remains aligned with intent even as context and autonomy increase.
Beyond prevention, Highflame delivers deep visibility and control through its agentic context graph and security-first architecture. Security and engineering teams gain real-time observability into agent behavior, model calls, and tool interactions, backed by compliance-grade audit trails and automated reporting. With autonomous red-teaming, model scanning, and runtime enforcement operating together, Highflame turns AI security from a static checkpoint into a continuous assurance layer enabling enterprises to deploy AI faster, safer, and at scale.
Highlights
- Multi-Turn AI Security with Deep Context Awareness Highflame secures agentic and generative AI across entire conversations and workflows using its Pulse and DeepContext guardrail models. By tracking intent, context, and state over multiple turns, Highflame detects escalation, drift, and abuse that single-prompt or static defenses miss enabling real-time, context-aware protection.
- Autonomous Red Teaming for AI Agents Continuously stress-test AI agents, prompts, models, and tools with adaptive autonomous red-teaming that simulates real-world attacks. Highflame uncovers prompt injection, data leakage, unsafe tool use, and multi-step exploit paths, then feeds those insights directly into stronger guardrails and policies.
- Model and MCP Supply Chain Security Identify backdoors, poisoning, and integrity risks across LLMs, MCPs, and AI dependencies before and after deployment. Highflame scans models, manifests, and tool capabilities while enforcing runtime controls, helping enterprises manage AI supply chain risk and deploy agents safely at scale.
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Protected Agents | Number of Agents protected through the platform | $0.10 |
Dimensions summary
This listing uses a single pricing dimension based on the number of Protected Agents you run through the platform. You commit under a contract, and your cost scales with how many agents you secure. Each agent gets a verifiable identity, and every action it takes is authorized before it runs. As your agent count grows, your unit count grows with it. There are no separate tiers or add-on dimensions to combine. You pay for one thing: the agents protected through the fabric.
Top-of-mind questions for buyers
A Protected Agent is any AI agent, bot, or integration governed through the fabric. This covers agents you built and ones you bought or downloaded. Each gets a verifiable identity tied to a named human owner. Every agent discovered across your clouds, IDEs, and SaaS counts toward your unit total.
Each agent that carries its own verifiable identity is counted. Sub-agents receive scoped credentials and their own on-behalf-of chain, so they are governed as distinct identities. As your agents spawn delegated helpers, your Protected Agent count can grow to include them.
Your cost scales with the number of agents protected through the platform. Discovering and onboarding more agents raises your unit count. Because the platform continuously discovers agents across clouds, IDEs, and SaaS, your protected count reflects the agents actively governed under your contract.
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Vendor refund policy
Highflame Security Platform is offered as a subscription service through AWS Marketplace. Refunds are handled in accordance with AWS Marketplace refund guidelines and the terms of the customer subscription agreement. If a buyer believes they were charged in error or experiences a material issue preventing use of the product, they may request a refund by contacting Highflame Support. All refund requests are reviewed on a case-by-case basis.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Support Contact Email: support@highflame.com
Support Description Highflame provides enterprise-grade support to help customers securely deploy and operate AI agents at scale. Buyers receive access to technical support for onboarding, configuration, and ongoing operations, including assistance with guardrails, MCP security, red-teaming, and observability. Support requests are handled by the Highflame engineering and security team, with response times aligned to the customer support plan.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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