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Last updated: May 13, 2026 at 5:42 AM UTC
All 208 Vulnerability 72 Breach 41 Threat 88 Defense 7
Tag: mythos (3 articles)Clear

Google is paying $1.5 million for a Pixel hack and cutting Chrome rewards because AI is finding bugs faster than humans can submit reports

Google overhauled its Vulnerability Reward Program for Android and Chrome on May 1 in response to AI tools reshaping bug hunting. The maximum Pixel Titan M reward jumped to $1.5 million for a zero-click exploit with persistence. Chrome payouts dropped across categories. Google is rewarding 'actionable reports' with concrete exploits and suggested fixes rather than raw bug volume - a response to AI tools like Anthropic's Mythos and OpenAI's GPT-5.4-Cyber generating more vulnerability reports than security teams can triage. Google paid a record $17.1 million in 2025 (up 40% from 2024) and expects 2026 aggregate rewards to increase further despite per-bug cuts.

Check
If your organization runs a bug bounty program, decide this quarter whether you reward per-finding or per-impact - the AI-generated bug volume is making the per-finding model financially unsustainable.
Affected
Any organization running a vulnerability reward program is facing the same volume problem Google is responding to. Independent security researchers face per-bug payment cuts industry-wide as programs adjust. The Internet Bug Bounty pause is a signal that mid-tier programs without Google's scale will struggle most.
Fix
Restructure bounty programs to reward proof of exploitation (working PoC, demonstrated impact) rather than report volume. Add quality gates: detailed reproduction steps, proposed fixes, impact analysis. Use AI tools defensively to triage incoming reports. For independent researchers: focus on high-value targets where AI struggles (complex multi-step exploits, business logic flaws) rather than competing on volume.

Anthropic launches 'Claude Security' for enterprises - the first major defensive product designed to keep up with AI-powered exploits that compress the time-to-attack to minutes

Anthropic launched Claude Security in public beta yesterday, an enterprise tool that scans code repositories for vulnerabilities, rates each finding's severity and confidence, and generates patch instructions that engineers can apply through Claude Code. The launch is direct response to Mythos and similar AI-driven offensive tools that have been compressing the time between vulnerability disclosure and active exploitation - LiteLLM was exploited 36 hours after disclosure last week, LMDeploy in 13 hours the week before. CrowdStrike, Microsoft Security, Palo Alto Networks, SentinelOne, Trend, and Wiz are integrating Claude Opus 4.7 into their platforms.

Check
If your organization holds a Claude Enterprise subscription, evaluate Claude Security against your existing static analysis tools this week.
Affected
Claude Enterprise customers can access Claude Security in public beta now via claude.ai/security or the Claude.ai sidebar. No API integration required. Team and Max access is coming soon. The deeper relevance is for any security team facing the new exploitation cadence: AI-driven offense has shrunk the patch window for several recent disclosures.
Fix
Pilot Claude Security on a non-critical repository first - point it at a side project before pointing it at production code. Scheduled scans give ongoing coverage rather than one-off audits. Pair the output with Claude Code on the Web to work through patches in a single session. For organizations not on Claude Enterprise: evaluate Aisle, Wiz Code, or GitHub Copilot Autofix on confidence rating and false positive rate.

A small Discord group quietly accessed Anthropic's most powerful AI hacking tool 'Mythos' for two weeks via a contractor account (backfill from April 21)

Backfill from April 21: Anthropic confirmed an unauthorized Discord group quietly accessed Mythos - the company's most powerful AI cybersecurity tool, restricted to about 40 vetted partners including Apple, Microsoft, and Google. The group got in on the same day Mythos was announced (April 7) by piggybacking on a member who works at one of Anthropic's third-party contractors, then guessed the model's URL based on naming patterns from previously leaked information. Anthropic says the group used Mythos to build websites, not for attacks - but they had quiet access for two weeks. Mozilla used Mythos to find and patch 271 Firefox bugs.

Check
If you're a Project Glasswing partner, audit which contractor environments have access to Mythos and rotate any credentials they used since April 7.
Affected
Anthropic Project Glasswing partners (about 40 organizations including Apple, Microsoft, Google, Mozilla, Cisco) and their downstream contractors. Any organization granting AI tool access to third-party contractors without isolation - the same naming-pattern guess works if your past internal models have been leaked, making new models' URLs predictable.
Fix
For partners: rotate all credentials any contractor environment used to reach Mythos, audit Mythos query logs for unfamiliar patterns, segment contractor access from production AI tooling. For everyone: assume new AI tool URLs that follow your existing naming convention are guessable, randomize URL paths for restricted models, and treat third-party contractor accounts as a primary attack surface.