Automating Threat Intelligence Sharing: The Next Frontier in Cyber Defense

Today, attacks are faster, more complex, and more persistent than ever. Organizations without the ability to give and receive threat intelligence in real-time will increasingly lag behind in their capacity to make informed decisions. And yet, threat intelligence sharing comes down to much more than moving large blocks of data; it means delivering that threat data in the form of actionable insights that can actually do the other party some good – not give it more work to sift through and analyze.

That’s why automation and AI-driven threat intelligence sharing is quickly becoming the next frontier in cyber defense. Those who can manage to keep ahead of AI-driven threats in the coming days will be not only the ones with the most threat intelligence but the ones who can consistently make sense of it when it counts. And without an automated platform, that’s nearly impossible to do.

The Challenge: Slow, Siloed, and Reactive Threat Intelligence

So, what’s stopping organizations from having smooth-sailing, well-attuned threat intelligence operations now? It’s the fact that threat intelligence is amassed from many different places, and naturally siloed as it enters a network. You have:

External threat feeds (from ISACs, ISAOs, and services like VirusTotal, Polyswarm, Mandiant, etc.)

Internal threat feeds and logs (SIEMs, SOAR tools, XDR, etc.)

And all those telemetries have to be analyzed, vetted for errors, and then the remaining pieces of intelligence must be corroborated, correlated, and compiled to complete the full threat story – on only one threat. It takes coordination between 19 different tools just to respond to a single threat in a modern enterprise, and we all know that these organizations are receiving far more than one threat a day.

The management burden alone is too much for humans to handle. And to make matters worse, threats are evolving at the speed of AI. Security teams struggle with information overload and delayed decision-making, and the lack of integration between intelligence sources and security tools leads to inefficiencies. These inefficiencies sound benign, but in reality, they are the cracks that allow attacks to slip through, when the organization may have had the threat intel to catch them the whole time; it just wasn’t organized enough to know it.

The Role of Automation and AI in Threat Intelligence

Automation jumps in and solves these problems. When you think about it, the only work that human threat analysts need to do is make judgement calls and hunt down hard-to-catch threats once they’ve got great, reliable (or even mostly-vetted) leads. That’s what they’ve been hired to do, and they’re good at it (when they finally get the chance to do so).

Analyzing, correlating, and vetting those leads is not something that would be in their best interest to do, nor in the best interest of the organization, when an automated treat intelligence management platform can do it better, faster, and more consistently. Small businesses know all about this; surviving means leaning into your strengths and finding clever ways to hire out for your weaknesses. Standardizing and organization thousands of disparate threat data points in real-time is not any human’s strength.

That’s why threat intelligence sharing and management platforms put AI to work. These AI models are powerful, designed to analyze patterns, reduce false positives, and prioritize high-risk threats. They can standardize the format of threat data as it pours in from a myriad of internal and external sources, corroborate it with other like sources, enrich it with other relevant threat data, and bundle the whole thing in a convenient threat intel package which is delivered right to SOCs, ready to be actioned upon. This takes the work of a whole team (of experts, no less, working around the clock) and offloads it to a simple platform. That’s the beauty of AI. It’s not that AI and these automated platforms are taking threat analysts’ jobs, it’s that they’re finally letting them do them.

Here’s how.

Real-World Use Cases: Cyware Automated Threat Intelligence in Action

Cyware’s threat intelligence platform facilitates the kind of automated threat intelligence management companies need in use cases across the board. For example:

Phishing | When data from a phishing email is received, Cyware automates the entire phishing response process from start to finish: retrieving the suspicious email, flagging any threat indicators, enriching it with any Indicators of Compromise (IOCs) it can analyze, taking immediate action to block the malicious email, and performing a retrospective hunt to plug up any security gaps that may yet be open.

Threat Hunting | What slows the overall threat hunting process down? Needing to manually analyze large volumes of threat data and perform critical actions on the data inside. Cyware’s Orchestrate and Intel Exchange take care of this process automatically, saving organizations the time and allowing even teams with limited resources to proactively hunt threats – not constantly be hunted.

Threat Enrichment | Get an automated enrichment playbook with Cyware and build the best case for each threat hunt. Pull in threat indicators from external sources, ingest data from internal SIEM tools, query and filter malicious indicators, and gather it all together in a centralized threat intelligence platform (TIP).

Ransomware | The amount of threat data flowing into an organization should be able to give it a healthy lead on ransomware attacks, no matter how stealthy they may be. The trick is knowing how to harness it. Using low-code/no-code automation, teams (regardless of technical maturity) can build integrated response workflows that coordinate their threat data directly with their security solutions for ransomware response in record-time – reducing MTTR by ‘an order of magnitude.’

And these are just a handful of examples. Check out the rest here.

Future-Proof Your Threat Intelligence with Cyware

Considering the rate at which threat intelligence can flow into an organization and the rate at which today’s threats are evolving, organizations are getting to the point where they need to adopt AI-driven threat intelligence solutions to stay ahead. Fighting threats manually at scale just isn’t possible anymore, if ever it was. Cyware’s Threat Intelligence Management platform provides the kind of a cutting-edge solution organizations need to solve one of cybersecurity’s most pressing current problems.

To see it in action, request a demo of Cyware’s AI-driven, automated threat intelligence platform today.