Cybersecurity has always been built on rules. Static signatures. Hard-coded thresholds. Lists and lists of “known bad.” But in the cloud era, those rigid systems are colliding with environments that move faster than they can update. It’s a mismatch—rules trying to govern chaos.

Then came deep learning. A promise of intelligence. But for most of the industry, it became just another layer on top of the same brittle foundations. AI got bolted on—never baked in. And so security kept chasing the future with yesterday’s tools.

At Sweet Security, we started from a different premise: AI can’t be an accessory. It has to be the engine. And when it works in tandem with our 500+ predefined rules, our customers get the perfect balance of dynamic and hard-coded cloud security. 

That’s why we built our platform around an embedded, proprietary LLM that drives detection, investigation, and remediation at runtime. Not an add-on, not a dashboard feature—the core of how decisions get made. And the impact speaks for itself: sharper detection, more accurate prioritization, fewer false positives, and, in all honesty, more enterprise wins against legacy tools.

Here’s where the difference shows:

• Accuracy that pays off. By expanding context beyond rigid rules, false positives have dropped dramatically. Analysts aren’t wasting cycles, which means faster outcomes and real savings. This is the ROI of AI: less noise, more signal, and measurable reduction in time-to-value.
  
• Explainability as table stakes. Every investigation comes with reasoning, steps, and context. Instead of a black-box verdict, teams get clarity they can trust.
  
• Speed that matters. With the upcoming release of our investigation and remediation agent, we’re already seeing MTTR for critical detections collapse from days to hours. And with the upcoming Enterprise Agent for Cloud Security, that same AI foundation will power deeper visibility, faster investigations, and decisive response across the full runtime.
  

For me, this isn’t just a technological shift—it’s personal. During my years as a CISO, I saw firsthand how attackers were already leveraging AI to innovate faster than defenders could react. It was clear even then: AI would tilt the balance of power. Today, it’s thrilling to stand on the other side of that equation—to finally put AI in the hands of defenders, and uplevel not just cloud security, but the very practice of cybersecurity itself.

The industry has spent years treating AI like a bolt-on. That era is over. In cloud security, the future will belong to platforms that are AI-native from the inside out. The only real question left is how quickly security leaders will demand the ROI of AI—and whether their current tools can keep up.

If you wish to see our AI power in action - get a demo here.

As always, I’m always open to hearing your outlook. Let’s talk!

Dror