Shared agents
Zero-day intelligenceSecurity Testing Agent
AI now finds vulnerabilities in minutes.
- Security & Risk Management
//Mythos Readiness
Secure + deployat machine speed.
Zero-days, exploding vulnerability counts, and AI-powered attackers have collapsed the time you have to respond. Security and engineering need to find, fix, and ship together, fast.
Exposure
Zero-day exposure
New vulnerabilities can be weaponized within hours, leaving almost no window to respond.
Volume
LLM scanning
LLM scanners surface 10x more flaws than existing tools, requiring more time to triage and fix.
Attackers
AI-powered attackers
Frontier models help attackers find and exploit vulnerabilities you didn't know were there.
10x
more vulnerabilities. (Project Glasswing)
6 hrs
to first exploit. (Zero Day Clock)
55 days
to fix a vulnerability. (Edgescan 2025)
>1 week
from commit to production. (2025 DORA Report)
//Overview
What does it mean to be ready for AI-powered attackers?
Readiness for AI-powered attackers means being able to find a newly disclosed vulnerability, fix it and ship the fix to production, or block it at runtime, faster than attackers using AI can weaponise it.
DataObserve Developer brings zero-day response, AI code scanning, runtime protection with virtual patching and governed pipelines onto one platform, so security and engineering find, fix and ship together.
//Moving at the speed of Mythos
From find to fixto production.
Manage OSS exposure
Zero-day response
A fully agentic response identifies exposure, triages remediation, and generates validated fixes.
- Zero-day intelligence
- Zero-Day Agent
- Remediation Agent
//Explore more withDataObserve
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//Use cases
Mythos Readiness: use cases
Zero-day disclosure
Map exposure across every service the moment a vulnerability is announced.
Emergency patching
Ship fixes through governed pipelines without skipping controls.
Virtual patching
Block exploitation at runtime while the code fix is still in review.
AI-generated code
Scan the growing volume of AI-written code before it merges.
//FAQs
Mythos Readiness: questions teams ask
What is Claude Mythos?
A frontier AI model from Anthropic with advanced cybersecurity capabilities, able to discover unknown vulnerabilities and help generate patches.
What does Mythos-readiness mean?
Finding, fixing, and shipping a fix to production fast enough to stay ahead of zero-days and AI-powered attackers.
Can a vulnerability be blocked before the fix ships?
Yes. Virtual patching blocks exploitation in production while the permanent fix ships through your pipeline.
What is virtual patching?
Virtual patching blocks attempts to exploit a known vulnerability at the network or application edge, protecting the service until the code fix is deployed.
Why does AI change vulnerability response times?
AI tools help attackers find and exploit vulnerabilities faster, which shortens the window defenders have between disclosure and attack.
