Security for the post-Mythos world
Frontier models can now discover and exploit both zero-days and known CVEs at machine speed. Rein stops them at runtime, then helps your team remediate only what is actually exploitable. The optimal defense for the post-Mythos era.
THE NEW REALITY
Two Problems. One Big Headache.
Mythos and other frontier models created two different problems for security teams, at the same time.
The unknown flood
Mythos and similar models can uncover zero-days across your software, agents, tools, and dependencies at machine speed. No CVE. No patch. The same model that finds the flaw can write the exploit. Rein monitors and blocks unintended behavior at runtime, protecting your agents and applications without taking them offline.
The known flood
The same models used to discover zero-days can now find CVEs by the thousands. With new vulnerabilities emerging nonstop, patching becomes practically impossible, forcing teams to prioritize by instinct instead of actual risk. Rein buys you time by blocking exploitable CVEs at runtime, then helps your team fix what matters most without the pressure.
Time to Exploit Dropped from Years to Hours
The Rein Way
Block the unknown. Clear irrelevant risk.
Rein watches every action your agents and apps take in production, detects and blocks anything that deviates, and filters your vulnerability flood down to what's actually exploitable. Both problems, solved.
"Rein is the ultimate prevention tool in our new frontier model reality. It gives us full application-layer visibility moment by moment, preventing exploitation at the application runtime, not the cloud runtime, and the ability to move at machine speed against attacks. It provides the best defense - without giving anything up on performance, stability, or reliability."
— CISO, Large Public Bank
Security Built for Enterprise Agents
Protect Enterprise Agents at Machine Speed
Mythos can hit your agents, frameworks, the tools they call, their dependencies, and apps. Rein protects and prevents attacks on your most critical agents with one read-only sidecar.
Enterprise Agent AI security
Uncover every agent, tool, framework, prompt, and action in production.
Agent Detection & Response
Zero-days and one-days, blocked at runtime.
MCP Security
Uncover what your Model Context Protocol (MCP) servers actually do at runtime.
Supply Chain Security
See which vulnerable functions actually run, which CVE is exploitable.
Code Security
See which findings are executable and which aren't
You Probably Have Some Questions.
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Increasingly, yes. A new class of AI can discover a previously undocumented flaw and write a working exploit for it at machine speed, with no CVE to warn you first. Against an AI agent that holds API keys and can run code, the gap from discovery to breach can close in seconds, which is why CVE patching can't keep up. This is the post-Mythos reality, and it's what Rein is built for: it detects any agent action that deviates from a learned baseline, so the exploit is stopped whether or not anyone has seen it before.
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It doesn't look for the exploit, it looks for the behavior. Rein learns how each agent and app normally behaves in your production and detects any action that deviates, at the moment of execution. A novel zero-day, a one-day, a prompt injection, and a misconfiguration all look the same to Rein: an agent doing something it isn't supposed to.
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It checks three things scanners can't: whether the vulnerable code is actually loaded in production, whether it's reachable in your application logic, and whether it's running in production. What survives all three is the short list that matters.
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Yes. Rein deploys as one read-only sidecar that runs alongside your agents in production and is built to stay out of their way. In production it adds under half a millisecond of latency per request, keeps CPU overhead under 1%, and uses around 20 MB of memory, with no measurable impact on uptime. It ships structural metadata, not full payloads, so there is nothing heavy in the request path.
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No. Rein uses a fully in-org data model. All data stays inside your environment, so data privacy and compliance is not compromised or requires additional audit.
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Both, over time. Day one, Rein tells you which existing findings are real and blocks what your scanners miss. As that production truth proves out, most teams lean on the noisy tools far less.
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A vulnerability scan tells you which libraries contain known flaws. Reachability analysis tells you which of those flaws an attacker can actually reach and execute in your environment. Scanning tells you what's vulnerable; execution context tells you what's exploitable. Rein maps the exact vulnerable function to what's running in production, so a flaw only counts when an attacker can reach it and it actually runs. That pinpoints the specific exploitable library instead of the whole package, and a backlog of hundreds of CVEs collapses to the handful that are real.
