According to @AnthropicAI, AI is at an inflection point for cybersecurity as defensive and offensive capabilities accelerate (source: Anthropic @AnthropicAI, Twitter, Oct 3, 2025). According to @AnthropicAI, Claude now outperforms human teams in some cybersecurity competitions, indicating material gains in automated defense performance (source: Anthropic @AnthropicAI, Twitter, Oct 3, 2025). According to @AnthropicAI, Claude helps teams discover and fix code vulnerabilities, highlighting direct applicability to secure software development lifecycles (source: Anthropic @AnthropicAI, Twitter, Oct 3, 2025). According to @AnthropicAI, attackers are also using AI to expand their operations, underscoring a rapidly evolving threat landscape (source: Anthropic @AnthropicAI, Twitter, Oct 3, 2025).

According to Andrej Karpathy on Twitter, the security risk is highest when running local LLM agents such as Cursor and Claude Code, while interacting with LLMs on web platforms like ChatGPT presents a much lower risk unless advanced features like Connectors are enabled. For crypto traders, this distinction is critical as compromised local agents could expose sensitive trading data or private keys, increasing the risk of wallet breaches or unauthorized transactions (source: @karpathy, June 16, 2025). As AI tools become more integrated into crypto trading workflows, users should carefully manage permissions and avoid enabling Connectors unless absolutely necessary to mitigate cybersecurity threats.