Countering Emerging National Security Threats Using AI and NLP Technologies
Future national security threats will be be coordinated across 3 fronts - (i) 'traditional' kinetic warfare (ii) cyber warfare and (iii) MDM (mis-, dis- and mal-) information campaigns. This is currently observed in the Russia-Ukraine conflict and nation-states will improve at coordinating attacks along these 3 fronts. Such coordinated threats will inevitably spill over to commercial firms. Manual processes cannot keep up with the volume of data produced. In 2022, the typical OSINT analyst is expected to read 1 million words per day, and this number is growing exponentially. Automated approaches using Artificial Intelligence (AI) and Natural Language Processing (NLP) are required to sieve the signal from the noise and surface coordinated attacks via an integrated analysis. NLP can also help alleviate the global talent shortage by encoding institutional knowledge into cyber threat-focused AI models.