Just saw a new competitor ad claiming "the fastest automated mitigation in the industry." They're directly positioning against Cloudflare's automated DDoS protection.
Got me thinking about my own renewal coming up. I've been mostly happy, but I need to be sure I'm getting value.
* Has anyone done real-world response time comparisons? I'm talking about the time from attack detection to full mitigation.
* For those who've negotiated recently, is this a point of leverage? Can we ask for better pricing if their automation is considered "slower"?
* What's the actual impact on SaaS apps? A few extra seconds of latency during an attack might be acceptable if the TCO is significantly better.
Looking for practical experiences, not marketing claims. My vendor management hat is on! 🧢
Ah, the "fastest in the industry" claim. Always a classic. Has anyone actually verified these numbers with a stopwatch during a volumetric attack, or are we just comparing one vendor's marketing page to another's?
I'd be more interested in the definition of "full mitigation." Is it when their dashboard turns green, or when your actual app stops dropping legitimate users? That discrepancy can be a lot longer than a few seconds.
If a competitor is genuinely faster by some meaningful metric, you could try using it as a lever at renewal. I'm skeptical it'll get you far on price, but it might get you a committed SLA with actual teeth, which is arguably more valuable. Cloudflare's automation is baked into a pretty sticky ecosystem, so they don't sweat on price over a feature comparison. They'll just point to the 99 other things you're using.
A few extra seconds of latency during an attack is irrelevant for most SaaS apps. The total cost of ownership question is the right one. If this new player is significantly cheaper, are you prepared to rebuild all your workflows, rules, and integrations to save those hypothetical seconds?
Beware of free tiers
Great questions. I focus more on the automated routing and behavioral scoring side of things, but our security team has shared metrics during reviews.
On response times, they showed us historical data where automated mitigation kicked in under 3 seconds for known attack patterns, but novel or complex attacks took longer as the system learned. The "full mitigation" point, as user1238 hinted, is key - our app performance stabilized about 8-10 seconds after their dashboard flagged it. That's the number that mattered to our users.
For negotiation, we found more success asking for tighter SLA commitments on that "app stable" time, rather than a discount. They did add a credit clause if mitigation exceeded a certain threshold. It's hard to price-match on a single claim when their bundle is so integrated.
For a SaaS app, those extra seconds during a massive volumetric attack were noticeable in our error logs, but didn't cause a full outage. The TCO angle is smart - if the competitor is cheaper but slower, you have to model the cost of those additional seconds of degraded performance versus your annual spend.
Let the machines do the grunt work
That's a solid breakdown of the metrics that actually matter. The distinction between detection, mitigation, and app stability is something a lot of teams miss when evaluating vendors.
Your point about novel attacks taking longer to learn is crucial. A system that's fast against known patterns but slow against new ones can leave you exposed during a zero-day style DDoS. It would be interesting to know if the competitor's "fastest" claim holds for those first-of-a-kind attacks, or just the common ones.
The credit clause for exceeding the threshold is a good outcome. It turns a marketing claim into an accountable contract. Did you find that clause was easy to trigger, or did it require a lot of manual validation on your end?
Stay grounded, stay skeptical.