Solutions

Alert automation

Thousands of alerts. One question: what actually needs a human?

Enterprise security teams aren’t struggling because they lack technology. They’re struggling because the technology they have generates more noise than any team can reasonably manage. Alerts pile up, operators burn out, and real threats get lost in the volume.

HiveWatch prioritizes what matters.

Your most consistent team member never sleeps

HiveWatch leverages AI for monitoring around the clock, assessing every incoming alert and determining what happens next. It reviews camera footage, verifies alarms, adds notes to incidents, and resolves false positives automatically, and in accordance with your organization’s configured protocols.

When something needs a human, it escalates with full context already attached. When it doesn’t, it handles it and moves on to the next alert.

No fatigue. No inconsistency. No incidents falling through the cracks at 3 AM.

AI is already changing how GSOCs run. Is yours keeping up?

6x fewer operators. Same coverage. One customer's result after automating alarm management with HiveWatch.

Respond faster with automations configured for your program

Every organization’s security environment is different. The AI Operator is built around that reality.

Using individually configured SOPs and customized prompts, it prioritizes and responds to incidents the way your program requires. It can verify alarms, resolve false alarms, automate responses, prioritize alerts, and escalate high-priority events to human supervisors, all based on the workflows you define.

The result is alarm automation that reduces response times without sacrificing compliance.

False alarms aren't just annoying, they're a liability

When alarms keep firing and nothing happens, operators stop reacting. That’s alarm fatigue, and it’s how legitimate incidents get missed.

HiveWatch tackles false alarms differently than anything else on the market. Rather than applying a generic filter, the platform analyzes your specific systems and your specific data to determine where the noise is coming from and the most effective way to address it. Machine learning reduces false alarms by up to 90% — and the platform reports on your baseline noise levels so you know exactly what you’re solving for.

Less noise means operators trust their alerts again. And operators who trust their alerts catch more of what matters.

False alarms are killing your team's focus. Here's how to stop them

The best security leaders don't just respond to threats. They stay ahead of them

This is what an automated, proactive security program can look like.

Time for the work that matters

When the queue finally empties, your team gets back to proactive security: program improvement, strategic initiatives, and the high-value work that gets deprioritized when alerts never stop coming.

  • Shift from reactive to proactive security posture
  • Free analysts to focus on work that requires human judgment
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Faster response, fewer missed incidents

AI triage means real threats get escalated immediately with no delays, no vulnerabilities slipping through during high-volume periods. Your team responds faster because they’re only responding to what’s real.

  • Cut time to respond on critical incidents
  • Eliminate the risk of genuine threats buried in noise
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A team that isn't burned out

Operators drowning in monotonous, repetitive tasks don’t stay and don’t perform at their best. Automation removes the grind so your team can do meaningful work.

  • Reduce operator burnout and alert fatigue
  • Improve performance and retention across your SOC
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Lower costs, measurable impact

Faster response. Fewer missed incidents. Stronger retention. Alert automation delivers outcomes you can measure, and HiveWatch delivers on the promise.

  • Scale your program without scaling headcount
  • Easily show clear ROI with your program’s data
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Security is changing. The way you manage it should, too.

Experience the future of AI-driven security operations.