Cybersecurity looks like proof of work now
a day ago
- #Cybersecurity
- #Proof-of-Work
- #AI Models
- Anthropic released Mythos, an advanced LLM for cybersecurity, restricted to critical software makers for preemptive security hardening.
- Third-party analysis by AI Security Institute confirms Mythos's superior performance in complex network attack simulations, completing a 32-step task in 3 out of 10 attempts with a 100M token budget.
- Security is framed as a proof-of-work system, where hardening requires outspending attackers on token budgets for exploit discovery, emphasizing financial over clever strategies.
- Open source software gains importance as token-based security spending by corporations can enhance its robustness, though it also attracts more attacker investment due to higher value targets.
- Agentic coding processes may evolve into three phases: development (human-guided), review (best practices), and hardening (autonomous exploit identification until budget exhaustion), with security audits becoming continuous and budget-driven.