How Threat Hunters Use Data Analytics to Shut Down Attackers
Here’s some good news: Your security tools generate a lot of data, and you can put that data to use.
Here’s some good news: Your security tools generate a lot of data, and you can put that data to use.
The challenge federal agencies face with data isn’t just one of constantly exploding volume. It’s also one of velocity — the ability to ingest, analyze and draw value from that data in a relative blink of the eye. Too often, however, they’re working with systems and tools designed for a smaller scale and more deliberateRead… Read more »
Ask intelligent minds from across government to talk about innovation, and there’s one thing they all say: It can be a long and difficult journey. Here are insights from public-sector experts and industry gurus.
AI has transformed how government operates and interacts with citizens. There are challenges, though, and additional opportunities.
NSFs Sivagnanam believes the next several years could prove critical in laying the groundwork for the broad use of artificial intelligence.
With properly deployed AI, maintaining a predictive security posture is possible, and the key is to focus not just on protection, but on prevention.
The time to think about artificial intelligence (AI) at your agency is sooner rather than later due to concerns like data security, transparency and bias.
Using human-centered design to make AI controllable, comprehensible and predictable is vital, and the U.S. government is well-positioned to lead the charge.
“We’re helping states rebuild critical unemployment systems with analytic automation, enabling agencies to deliver on their mission and get critical support to citizens.”
“The only way to stay ahead of malware-based attacks is to create a predictive capability where you can learn from history to predict the future. And that is precisely what machine learning and artificial intelligence are absolutely fantastic at doing.”
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