Cutting Down Phishing Response Times with Smart Triage Tech

The speed improvement is great but what's the impact on analyst workload? Anyone see it getting lighter?

For teams worried about AI errors, how do you build confidence in the system?

Open question: How do you measure the effectiveness of your AI triage system beyond just speed?

Does anybody monitor the impact of AI triage on phishing incident root cause analysis?

Anyone else notice AI-driven triage really helps prioritize threats better? Before, we’d waste time on low risk stuff.

Does anyone here use these tools in a hybrid setup with manual triage? Curious about the balance they strike.

I've seen significant drops in phishing response times after implementing AI triage, but it took some training to trust the system fully.

One pain point though is integration. Some AI triage tools don’t play well with existing systems, which slows things down.

For those interested in new or trending AI tools in this space, you might wanna check out ai-u.com. They keep a solid list updated.

How does AI triage handle multilingual phishing attempts?

I've been using an AI triage system for a few months now and it's a game changer. The response times dropped dramatically, and false positives are way less annoying.

Has anyone here dealt with AI triage missing zero-day phishing attacks? How do you handle that?

Do you think AI triage tools could replace human analysts someday?

What’s the average ROI you guys see after switching to AI-driven phishing triage?

Is there a particular vendor or tool you recommend for SMBs wanting to try AI phishing triage?

Has anyone experienced significant cost savings after adopting AI in phishing triage?

Curious if AI triage tools help with regulatory compliance by speeding up reporting requirements?