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Runtime security and control for AI coding agents and MCP servers. Get visibility and enforce policy over how agents act, use tools, and access data.
They also introduce risks most teams cannot see or control.
Built to give engineering teams visibility, control, and confidence as they adopt AI coding agents , without slowing down developer workflows.
IDEs and AI code assistants include built in controls for productivity and enterprise settings. Helpful, but not designed to secure how autonomous agents act at runtime. They manage configuration, not behavior.
MCP servers expand what agents can do. They also expand the attack surface in ways built in controls were not designed to handle.
As agents act autonomously and use tools dynamically, enforcement must happen at runtime.
That’s why Code Agent Control Plane enforces policy inside IDE and CLI workflows, detects unsafe agent behavior in real time, and applies one consistent policy across assistants, editors, and models.
A runtime security flow that observes agent actions, evaluates them in context using adaptive detection, and enforces policy before risk becomes impact.
Engineering teams use Highflame's Code Agent Control Plane to innovate safely with AI coding agents and increase output without losing control.
Turn AI from a source of uncertainty into a force multiplier for your engineering teams.
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.
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.
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.
See how coding agents support developers, accelerate workflows, reduce friction, and improve productivity.
Stop unintended tool use, excessive permissions, and risky behavior before actions turn into commits, leaks, or outages.
Detect risky or untrusted MCP servers and control how agents interact with external tools as capabilities expand.
Get clear answers to what agents did and why, with visibility that supports incident response, reviews, and compliance.
Give engineers the confidence to innovate with AI coding agents, turning AI into a trusted multiplier instead of a source of hesitation.
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