Cybercrime is like that villain who keeps getting smarter with every sequel. Just when we think we’ve got it cornered, it finds a new way to break into our data, cause chaos and disappear. Don’t worry, there’s a hero in the making: artificial intelligence (AI). And with the support of solid data quality, it’s playing a big part in fighting cybercrime in ways that we couldn’t even imagine a few years ago. This important topic came to us from FinTech in their article, “Harnessing AI and data integrity in fighting financial crime.”

Hackers don’t take days off, and neither does AI. While we sleep, AI keeps monitoring networks, spotting suspicious behavior and learning from it. Think of it like a hyper-vigilant guard dog that’s never distracted and always gets smarter. It analyzes patterns in real-time, which means it can pick up unusual behavior before a human even notices something’s wrong.

AI might be powerful, but it’s only as good as the data it’s trained on. If you give AI messy, incomplete, or inaccurate data, it can lead to false alarms (like locking you out of your own account) or even worse, missing real threats. That’s where data quality comes into play.

For AI to work at its best, the data it processes needs to be clean, organized and up-to-date. Think of it as feeding the AI a balanced diet so it stays sharp and on point. With high-quality data, AI can detect even the tiniest abnormalities that could indicate a cyberattack, like a sudden spike in login attempts or a weird location accessing your account.

The financial world is a prime target for cybercriminals, but AI is making things harder for them. Using sophisticated algorithms, AI analyzes every transaction and detects unusual patterns that suggest fraud, such as an unusually high purchase or a transaction happening from a suspicious location.

One of the most exciting aspects of AI in cybersecurity is its ability to not just react but predict attacks. By analyzing data from previous attacks, AI can recognize patterns and anticipate where hackers might strike next. It’s kind of like weather forecasting for cyber threats.

As AI continues to evolve, it will become even better at detecting these patterns, and with solid data quality, it can accurately predict the next cyber storm before it hits.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, uniquely positioned to help you in your AI journey.