MIT's new AI-squared can predict 85 percent of cyberattacks

When it comes to cybersecurity, it would appear that the best offense is a good defense, and by and large we have neither. Following a damning report of the U.S. government's capabilities when it comes to online security and the emergence of yet another dangerous piece of malware that has already stolen some 4 million from dozens of banks and financial institutions, our digital defenses look to be down and out. But a new solution from the Massachusetts Institute of Technology may be our saving grace. In a new paper, researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) unveil an artificial-intelligence platform called "AI squared" that claims to predict cyberattacks "significantly better than existing systems by continuously incorporating input from human experts." Combining the capabilities of humans and machines, AI-squared was shown to detect an impressive 85 percent of attacks, which represents a threefold improvement over previous benchmarks.