"Influence and Cyber Operations: An Update," the new OpenAI threat intelligence report, out a few hours ago. The document is interesting for one specific reason that hasn't been mentioned in public reporting so far cdn.openai.com/threat-intelli…
This is the money paragraph, from today's OpenAI report "Influence and Cyber Operations: An Update."
tldr: AI labs sit at a middle section of adversary kill chains—if staffed & equipped properly, the labs are potentially uniquely well positioned for threat intelligence insights
tldr: AI labs sit at a middle section of adversary kill chains—if staffed & equipped properly, the labs are potentially uniquely well positioned for threat intelligence insights
The report also has some interesting LLM TTP examples
Interesting questions here: if and how will OpenAI's unique investigative advantage decrease as its market share will (almost inevitably) decrease? — As more AI models enter the fray, and more local inference comes in, more artificial content will go undetected.
How will can the threat intelligence insights that AI labs can extract from their intermediate position on the kill chain be used by other parties to pivot?
Trend that OpenAI and @benimmo are identifying here is likely going to accelerate. Will other labs (and indeed OpenAI) get the message and invest into building larger, stronger Threat Intel teams as long as big AI still has the telemetry and adversaries are making more mistakes?
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