As a kid, treasure hunts were fun. Someone gave you clues and a map so you could hunt down whatever hidden item they left for you. However, as a security analyst, your incident investigations often have clues but lack a map. An alert fires. You search through your vast collection of log data. You hope to find the next clue while trying to figure out the attacker’s next steps.

For security analysts navigating an increasingly complex threat landscape, the ability to quickly identify and respond to attacks is critical. Security information and event management (SIEM) tools have been integral to helping security teams quickly respond to attacks. Now, in the era of generative AI, Elastic is changing the game by delivering AI-driven security analytics to replace SIEM and modernize the SOC.

For years, the mantra for achieving visibility into potential threats has been the trio of EDR, NDR, and SIEM. These components form the foundation of a robust security posture, with EDR and NDR offering the depth and breadth needed to monitor activities across endpoints and networks.

I’m thrilled to share some incredibly exciting news – Graylog’s v6.0 is officially here! It’s been quite the journey getting to this point, filled with late nights, endless cups of coffee, and an unwavering commitment from our amazing team. As we unveil this latest version, I can’t help but reflect on how far SIEM technology has come over the past two decades. Gone are the days when Intellitactics and NetForensics reigned supreme.

Amazon Bedrock and Elastic’s Attack Discovery automate security analyst workflows As cyber threats grow increasingly sophisticated, the need for highly effective security measures becomes imperative. Traditional SIEMs aren’t equipped to address threats fast enough because they rely on too many manual and labor-intensive tasks. AI-driven security analytics from Elastic’s Search AI platform solves these challenges.

In November 2023, Sumo Logic experienced a security incident. While no one wants to be a victim of a cyberattack, and we certainly learned a lot about things that we can do better in the future, our team was lauded by customers and media alike for how we handled the situation underscoring the importance of a good incident response plan. One of the core values at Sumo Logic is that we’re in it with our customers. But more broadly speaking, we’re in it with the InfoSec community.

Staff time, log processing, and legacy issues can turn free, open-source or low-cost SIEMs into one of your organisation's most expensive investments. You're not alone if you're baulking at the idea of paying upwards of tens of thousands of pounds for a new or renewed SIEM licence. Many security decision-makers feel the same way. One survey showed that almost half (40%) of existing SIEM users feel like they are overpaying for their SIEM.

As we've covered before, SIEMs are an expensive tool. The average enterprise-level SIEM deployment costs over £15 million a year, and operating a small, 100 to 1000-seat SIEM will still run up bills of over £10k monthly. SIEMs create spiralling costs that eat security budgets. Without a skilled team operating them, they can also make organisations less secure despite receiving more information about their digital estates. But where do these SIEM costs come from?

In our previous installation, we discussed the history of security information and event management (SIEM) solutions — from collection to organizational detections and finally to response and orchestration. Now, we are firmly in the SIEM 3.0 revolution and focused on applying generative AI to every applicable process in the security operations center with tremendous success.

The average cost of a cyberattack in the United States is 9.5 million. With over 60% of businesses going bankrupt after experiencing a severe data breach, robust security measures to safeguard organizations’ digital assets and operations are urgently needed. A powerful tool gaining significant traction in addressing these challenges is Security Information and Event Management (SIEM).