Quote:
Originally Posted by Russic
It'll be very interesting to see if agents are at all helpful in situations like this. If you have a dedicated ai focused solely on something like security, could that improve things, or would it be easy to trick?
Conceivably I could see a system where you go to make a change and your eager-to-help ai is interrupted by your security ai that won't let them move ahead with their helpful-but-insanely-foolish edit.
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MCP servers can theoretically do this (the next evolution of agents). MCP (model context protocol) which was created by Anthropic has taken the AI world by storm in recent months, even Open AI is supporting it as a go forward.
GitHub has it's own MCP server and with the implementation of MCP for LLM to communicate directly with applications in a code that it understands, expect security companies to develop / sell services to actively scan for bad or vulnerable code via an MCP server. Of course...MCP has its own inherent risk...
https://github.com/modelcontextprotocol
Some are already coming out, likely Socket will provide this soon
https://invariantlabs.ai/blog/introducing-mcp-scan
MCP is the new gold rush of sorts. I have my own setup with multiple MCP servers built via Claude Desktop that I now use for coding which has direct access to some of my directories as well as web search. I built through it a full AI video generation pipeline that creates a 30 second video with voiceover from a generated script via APIs using each provider's API documentation (ex: Gemini Pro 2.5, Hailuaoi, ElevenLabs), joins all the segments and music together to make a fully cohesive video and post it to Youtube for example for a truly faceless automated channel.
Kling 2.0 is coming out tomorrow. I was actually recruited to make a number of sponsored videos for it before the reveal with early access to it, but could not finalize price negotiation in time for this specific campaign. Ugh, well next time. Things are going extremely well and progressing far faster than I could have dreamed.