Highflame: Secure AI Fabric
highflame · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
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
Highlighted by the publisher on AWS Marketplace.
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.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Plans and pricing as listed
3 listed- Units
- Units
- Units
Refund terms
As stated by the publisher on AWS Marketplace.
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.
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

