A New Threat Model

Mythos breaks patching. Blink gets stronger.

Anthropic's Claude Mythos found 2000+ zero-day vulnerabilities in seven weeks. The gap between disclosure and exploitation has collapsed to hours. Patching cycles cannot keep up.

Blink customers don't wait for patches. Agentic hardening generates the right IaC guardrails, the right dependency fixes, and the right approval flow, in minutes, in your team's own DevOps conventions.

2000+
Zero-days found by Mythos in 7 weeks
2.1d
Median time-to-exploit in 2026
20d
Average time to test & deploy a patch
15m
From CVE to hardening PRs with Blink
The Patch Window Hit Zero

From 771 days to same-day exploitation in seven years.

The Zero Day Clock tracks median time-to-exploit across 3,500+ confirmed-exploited CVEs. The trend isn't slowing. AI now reverse-engineers patches and produces working exploits in minutes. Defenders need 20 days to test and deploy the same patch.

The Workflow

From zero-day signal to governed hardening PRs.

Agentic workflows that prioritize risk, generate safe changes, and route them through the right approvals. From CVE to merged hardening PRs, in your team's DevOps conventions, with human approval where it matters.

The Workflow

Three agents. One outcome.

Each agent has a focused role, a knowledge base specific to your environment, and a tightly scoped set of abilities. They reason. They generate. They route through your approvals.

Prioritizes what actually matters

Identifies affected assets, classifies exposure, and validates whether existing controls already mitigate the risk. Cuts 400 findings down to the 4 that need action today.

Asset inventory queries
Exposure classification
Compensating control checks

Generates IaC guardrails

Writes Terraform, Pulumi, or CloudFormation changes that match your team's repo conventions. WAF rules, egress controls, IAM tightening, network segmentation. Opens the PR with full context.

Repo-aware code generation
PR with attack-path explanation
Auto-assigned DevOps reviewers

Fixes dependencies you can't ignore

Agents Maps SBOM to affected services. Bumps versions where a fix exists. Proposes sandboxing, wrappers, or sec-comp profiles where it doesn't. Drops unused dependencies that are pure attack surface.

SBOM-driven impact analysis
Dependency PRs with risk score
Runtime guardrails when no patch exists
Your Environment, Not a Template

Agents that know how your company actually works.

Generic "best practice" PRs get closed. Blink agents take your processes, your procedures, and your institutional knowledge as inputs. The output isn't a hardening template pulled from a blog post. It's the specific change that needs to land in your environment, accounting for the exceptions and architectural decisions your team already made.

  • 1

    Your IaC conventions

    Module structure, naming, tagging, branching strategy. PRs match what your DevOps team already ships.

  • 2

    Your runbooks & SOPs

    Module structure, naming, tagging, branching strategy. PRs match what your DevOps team already ships.

  • 3

    Your exceptions & architectural decisions

    Module structure, naming, tagging, branching strategy. PRs match what your DevOps team already ships.

  • 4

    Your past tickets & decisions

    Module structure, naming, tagging, branching strategy. PRs match what your DevOps team already ships.

PR #1284 · Restrict egress on payments-api

# Why this PR

CVE-2026-XXXX affects libimage in payments-api.No upstream patch yet. WAF in front. PCI-scoped.

# Following team conventions

- Using network-module v2.4 per repo standard
- Tagged env=prod, owner=payments
- Branch: sec/cve-2026-xxxx-egress

Honoring known exception

Webhook callback to provider-x.com
required per Decision Log #218 (2024).
Exception preserved in allowlist.

The Math

20 days vs. 15 minutes.

Same CVE. Two response models. The difference is who closes the exploitation window first.

Traditional Vuln Mgmt

CVE → Patch → Test → Deploy

Wait for the vendor. Wait for the maintenance window. Wait for QA. Hope no one weaponizes the patch faster than you can ship it.

~20 days on average · exposed for 99.9% of vuln lifecycle

vs
Agentic Hardening with Blink

CVE → Guardrail PR → Merge

Agent identifies affected assets, generates IaC and dependency PRs in your conventions, validates with terraform plan, routes to DevOps with full context.

Minutes to hours · attack path closed before exploitation

The Vendor Shift

The era of "we alert you" is over.

Every security tool on the market promises to find the problem. That bar is no longer enough. The vendors that stand out from here are the ones that can deploy fixes, safe mitigations, or containment actions in real time. Not just tell you that you have a problem. Show that you solved it, or at least bought the team time.

The Old Bar

"We alert you."

You have a critical CVE in 412 services. Severity: critical. Patch ASAP.

The alert lands in a Slack channel. Someone triages it. Someone opens a ticket. Someone routes it to the right team. Someone waits for a maintenance window.

Meanwhile, the exploitation window has already closed.

Findings without action

Tickets piling up in backlogs

Patch windows measured in weeks

Defenders always one step behind

The Old Bar

"We alert you."

You have a critical CVE in 412 services. Severity: critical. Patch ASAP.

The alert and the response arrive together. Affected assets identified, exposure scored, IaC and dependency PRs already drafted in your team's conventions, validated with terraform plan, routed to the right reviewers.

Even when the patch doesn't exist, the exploitation path is already gone.

Fixes shipped, not just findings reported

Safe mitigations when no patch exists

Containment in minutes, not weeks

Audit trail for every change

The Asymmetry

Why Mythos is good news for Blink customers.

Most teams read the Mythos announcement and feel the wrong kind of urgency. Defenders get the same tools. The platform that lets you use them first wins.

1
Model-agnostic by design
The Blink Agent Builder doesn't lock you to one LLM. Choose Anthropic, OpenAI, Gemini, or self-hosted per agent step. Swap the model in a single field.
2
Every model upgrade strengthens you
Better reasoning means better triage, better PR drafts, better risk analysis. Same workflows. Same knowledge bases. Better output, automatically.
3
When Mythos lands for defenders, you're ready
No re-architecture. No platform migration. Change the model field. The workflows that already protect your environment just got Mythos-class reasoning.