Anthropic's Claude Mythos and the models that followed collapsed the cost of finding vulnerabilities. What used to take a security researcher weeks now takes an AI minutes. The volume of disclosures has exploded — Microsoft alone patched 163 CVEs in April 2026. Vendors are shipping patches faster than ever. Attackers are running parallel AI-assisted patch diffing.

The moment a vendor releases a patch, attackers reverse-engineer it. They diff the binary before-and-after, see exactly what changed, build a proof-of-concept exploit against the unpatched version, and start scanning the internet for systems that haven't applied it yet. Every hour you delay is an hour the attacker has the advantage.

This is the Mythos thesis — the asymmetry between AI-speed discovery and human-speed remediation is the largest unhedged risk on a CISO's balance sheet. You cannot hire your way out of it. The work has to be automated, with humans in the loop only where judgment is needed.

When a vulnerability appears anywhere in your environment, Mythal takes it through every step:

• Find the right fix from the vendor's official source.
• Decide what's safe to apply directly — and what to flag for the team instead.
• Build a plan with exact steps and exact rollback.
• Route to your team for approval when policy requires it.
• Apply the fix through whatever patch tool you already use.
• Verify it worked — rescan, check health, roll back if anything's off.
• Produce audit evidence — every action signed, every decision recorded.

For sensitive operational systems, Mythal never applies directly. It always builds the plan and proposes it — your team applies, on your schedule.

You control where the line falls between steps 4, 5, and 6. Low-risk fixes on standard IT can flow through Mythal end-to-end. Anything touching sensitive operational systems gets built as a plan by Mythal and handed to your team to apply on their own schedule. Mythal never acts outside the rules you set.

Each agent has one narrow job. They don't share memory — they communicate through a signed message bus. Every decision is recorded in a reasoning trace your auditor can read top to bottom.

The Executor agent doesn't replace your patch tools. It calls their APIs — the same APIs your own team uses — to dispatch a fix, monitor it, and capture the result. Your tools do the actual push using their existing endpoint agents.

How it works: Executor calls driver.apply_patch(asset, patch) → driver authenticates to your tool via Vault-stored credentials → submits action → polls for completion → Verifier rescans through your scanner API. Every action carries a tool-specific reference ID (Tanium action_id, SCCM deployment_id, Ansible job_id) for audit.

Mythal ships with twelve agents. You decide which ones are active, what rules each one follows, and where in your environment they operate. If a capability isn't a fit, we turn it off. If you need behavior tuned to your operational reality, we configure it.

• One zone, one scanner pair. Pick one segment of your environment and one scanner you already operate. We connect Mythal to it.
• Mythal runs inside your network. Single-VM appliance. No cloud dependency. No data leaves your environment.
• Real findings, real plans. The platform runs the closed loop on your actual environment with your team in the approval workflow.
• You evaluate against your own criteria. Leadership, security team, operations team, and your auditor all review the output. They decide.
• No commitment until the proof is green. If anyone has reservations, we step back. The risk to CSX is zero.