Join the SIEM Revolution: AI-Ready Security That Scales

The SIEM revolution isn't about another incremental upgrade.

It’s about breaking free from expensive legacy platforms and empowering teams to work the way they want… 

Smarter. 

Faster. 

And with AI handling the grunt work.

While many of the world’s largest software companies are pedaling recycled SIEM designs and bait-and-switch bundles, we’ve built a fully integrated platform designed to empower security teams—not lock them in.

And now that AI has caught up to our architecture, the game is ready to change.

The State of SecOps

Security teams are being squeezed:

• The attack surface is larger than ever¹

• Data volumes have grown 10x in the last 10 years²

• Breach costs hit record highs every year ($4.88M globally, >$9M in the U.S.)³

• AI-enabled attackers are moving ultra-fast⁴

• And budgets simply can’t keep pace⁵

The gap between what teams need and what legacy tools provide is now a chasm that hiring alone can’t bridge. After hundreds of conversations with CISOs and practitioners over the past five years, one thing is clear to me: 

This isn’t a vendor problem — it’s an architecture problem.

The Human Ceiling

Adding more analysts won’t fix SecOps. 

When each alert takes 45 minutes to triage and your SIEM generates thousands daily, the math doesn’t add up. The exorbitant resources and constant “care and feeding” that SIEMs demand has made the term a bad word in many security circles. 

One CISO straight-up told me… 

“I NEVER WANT TO BUY SIEM AGAIN” 

So I went and put it on a shirt! 🙂

Runaway costs, delayed detections, and significant engineering overhead consume security teams’ time. Splunk is the poster child, but this isn’t just a Splunk problem — it’s the inevitable result of trying to fight today’s threats with yesterday’s tools.

And there’s no simple fix: millions of cybersecurity roles are unfilled⁶, average tenure is less than 26 months⁷, and burnout is rampant.

As an industry, it’s clear: we’ve officially hit the human ceiling.

AI’s Trials & Tribulations

AI is ready to help – it can triage alerts, tune detections, and spot patterns at scale better than humans. But too often, it’s bolted onto legacy systems that aren’t designed to harness its power.

That mismatch is why industry veterans like Oliver Rochford report:

“I’m hearing much chatter from folks testing AI SecOps solutions and coming away disappointed because the proof of value doesn’t live up to the marketing claims…”

The lesson isn’t that AI doesn’t work. It’s that architecture matters. 

Without the proper foundation, AI simply exacerbates the cracks in legacy systems that already struggle to deliver value.

What Teams Actually Need

To take full advantage of AI-driven security, teams need the fundamentals in place:

• Clean, structured data 

• Robust APIs and business context

• Horizontally scalable infrastructure

• Transparent logic with governance

A central component is having infrastructure that’s fit for big data and compute-heavy workloads. By adopting cloud-native architectures and security data lakes, security teams can align with the organization's broader big data strategy, ensure operational performance, and manage costs at scale.

These aren't just "nice-to-haves" – they're what teams need to deliver meaningful security outcomes and take advantage of AI innovation. 

And they’re the principles Panther was built to support.

The Results

Consider Mike Morrato, the Director of Security at Forward Networks, a 33-year cybersecurity veteran who’s worked with every major SIEM vendor from Splunk to QRadar.

Here’s what Mike said after trying Panther:

“Within 24 hours, we had 80% of our log sources migrated and were getting much better data and fidelity than our previous SIEM... I’ve never really loved this space, but Panther delivered.”

When someone with that level of experience says Panther “made SIEM not suck,” that’s validation from the trenches.

And he’s not alone:

• Cockroach Labs 5x’d visibility and cut costs by $200k/yr

• Snyk cut alert volumes by 70%

• Docker tripled ingestion while reducing false positives by 85%

These aren’t incremental gains. They’re proof that with the right architecture, teams can move from firefighting to proactive, sustainable, cost-efficient security.

The End of an Era

The SIEM revolution isn't just about picking a better SIEM. 

It's about leaving behind broken paradigms. And that shift is already underway.

Teams building on the right foundation are seeing AI deliver tangible outcomes in production — faster investigations, more actionable alerts, and lower costs. And as AI capabilities continue to accelerate, those same teams will see their gains compound like interest. 

Meanwhile, the teams stuck fighting legacy systems will continue struggling to deliver results in an impossible situation: more threats, more expensive breaches, and fewer resources to secure the business.

The question isn't whether AI will transform security operations. It's whether your team will drive that transformation or scramble to catch up.

Are you ready for the revolution?

We are – and we’d love for you to join us!

Here are a few ways to get started on your own:

• Read our legacy SIEM replacement guide.

• Watch a demo of Panther AI in action

• If you love the nitty-gritty, jump directly into our comprehensive product documentation

Or, if you’d like to speak to one of our team members who can help guide your path forward, book a demo — we’d love to chat.

Sources & References

1 Why attack surface management is critical

2 Big Data Statistics 2025

3 IBM Cost of a Breach 2024 

4 AI Enabled Hacking

5 Growth in cybersecurity budget slows in 2025 

6 Cybersecurity Jobs Report: 3.5 Million Unfilled Positions In 2025 

7 CISO Workforce and Headcount 2023 Report