Hackers are ruthless in their persistence and fortitude. It can take weeks or months for them to gather intelligence on your IT vulnerabilities, penetrate your network, and exfiltrate your precious data. But they know, and statistics prove this, that, for the most part, their victims have no idea that their network infrastructure is under attack – until it’s too late.
Metadata. It’s not a word that springs to mind when you think about detecting and stopping attacks on your networks and endpoints. If you’re investigating an attack you probably pull logs files and Netflow data to try and make sense of what’s going on. Nothing wrong with that. But as with all things cybersecurity, there’s always more you can do. And that’s where metadata comes in.
When your agency detects a network attack, you need to act fast to understand what’s going on. But getting the insights and analytics you need takes time and often doesn’t trace threats back to the source.
Halloween may be behind us, but that doesn’t mean there aren’t some scary things creeping up on federal IT professionals and security managers as the year winds down.
Chief among these haunts is the dreaded specter of network downtime. It lurks in the background, ready to pounce at the most unexpected and inopportune moments. It brings with it the nightmare of slow application performance, lost productivity, and average hourly costs that can swell into hundreds of thousands of dollars.
Many organizations are quickly discovering that cyber threat hunting is the next step in the evolution of the modern Security Operations Center (SOC).
But what is “hunting"?
Sqrrl, a leader in big data analytics and cybersecurity, defines hunting as “the process of proactively and iteratively searching through networks to detect and isolate advanced threats that evade existing security solutions.”