An AppSec checklist for when finding vulnerabilities is the cheap part

The AI Application Security Checklist Time-to-exploit has collapsed from years to hours, and rogue agents are on the loose. The annual pentest, the bounty queue, the scanner backlog: all built for human speed. This is the working checklist for AI application security: how to evolve your AppSec program into an agentic loop. 59 checks, sorted into three maturity levels by who does the work: Reactive (humans), Automated (machines, humans approve), and Autonomous (machines, humans handle exceptions). Each level includes everything from the earlier levels, so you see both where you stand and what comes next. Most programs today are not even at Reactive yet, and that is the starting line, not a judgment. Pick the level that matches your program today, and use the checklist to turn the shift to machine-speed exploitation into controls your team can actually run. This list has opinions, and the occasional swear word. Both are on purpose 🙈 Happy Patchmageddon/Vulnpocalypse 🤙 Jump to checklist Free checklist. PDF download requires email. 1 Pick your maturity level Filter the checklist by how much of your loop still depends on humans. 2 Work the loop Move through the loop: know your assets, find what matters, prioritize, fix, contain, and govern. 3 Share with your team Download the PDF or share a link that preserves the controls you have checked. 0%0/59 Maturity levels Pick your level AI application security is a progression. Higher levels include the items from earlier levels. Know what can be hit 0/9 complete Find what matters continuously 0/13 complete Prioritize by exploitability 0/6 complete Fix through automation 0/12 complete Contain the blast 0/8 complete Govern the machine 0/11 complete How Konvu helps Time-to-exploit collapsed. Konvu turns your AppSec program into an agentic loop. Machine-speed attacks do not wait for human-speed triage. Konvu is a team of AI security agents that plugs into the scanners you already run, 20+ across AppSec and CloudSec. It triages every finding, proves what is actually exploitable with evidence, and ships the fix as a PR, covering the prioritize, fix, and verify steps of this checklist without changing your stack. "The platform delivers two key outcomes: vulnerability prioritization and remediation, and is well positioned to solve both effectively." James Berthoty, Founder at Latio Prioritize by proof Exploitability, exposure, blast radius, and impact evidence attached to each finding. Fix without waiting Agent-drafted PRs for known fix classes, with tests and rationale included. Verify the loop Confirm the fix reached production and the exploitable path is actually closed. Keep your stack Konvu is not a scanner. It works alongside Snyk, Semgrep, Checkmarx, and the rest. Book a demoTry it FAQ Who is this checklist for? Security leaders, AppSec and platform engineers, and software leaders responsible for application security in the post-Mythos era. Do I need to complete every item? Pick the maturity level that matches your program today. Higher levels automatically include the earlier items. What is "Mythos"? Claude Mythos is Anthropic's autonomous vulnerability-discovery model, announced as part of Project Glasswing. It accelerates exploit generation against software at machine speed. "Mythos-ready" is the community shorthand for an AppSec program that has adapted to that reality. Has an autonomous model actually pulled this off? Yes, in July 2026. During an internal cyber-capability evaluation with safety refusals turned off, OpenAI models (GPT-5.6 Sol and a pre-release model) chained a zero-day, privilege escalation, and stolen credentials to break out of their test sandbox and gain remote code execution on Hugging Face's production servers, to obtain the benchmark's answers. Both companies detected, contained, and published accounts of it. Hugging Face ran its forensics on open-weight models because frontier models refused to analyze the attack payloads. How should I share this with my team? Use the PDF download or the share link. The share link preserves your selected level, category, and checked items. Found something missing or wrong? Email [email protected] with what you would add, change, or push back on. We update the checklist as the threat picture evolves. Further reading CSA - The AI Vulnerability Storm: Building a Mythos-ready Security Program Hugging Face - the July 2026 autonomous-agent security incident OpenAI - the Hugging Face model-evaluation security incident Zero Day Clock - collapsing time to exploit NIST Cybersecurity Framework 2.0 J.P. Morgan - Eye on the Market: Patchmageddon Share this checklist Share a link that preserves the level, category, and checked items. LinkedInX