The industry has long operated on an unspoken assumption: between a vulnerability being disclosed and attackers actually using it, there is a buffer of days — enough time for vendors to ship patches and for ops teams to schedule a maintenance window. Radware’s freshly published H1 2026 Global Threat Analysis Report just drew a line through that assumption.
The most striking figure in the report is the exploitation timeline: in 2024 the average was 53 days after disclosure before the first in-the-wild attack, 2025 shrank it to 21.5 days, and H1 2026 dropped it below zero — attacks now happen on average before the official CVE announcement. In other words, more than 80% of exploited flaws are zero-days: in more than four out of five cases, by the time the news breaks, the attack has already happened.
The traditional playbook was “track CVE advisories → assess impact → patch before the attacks arrive.” The first premise of that flow no longer holds. Patching is no longer defense — it is post-hoc inspection. What actually has to survive the attack is your system during the window before any patch exists.
The other half of the same report is volume. H1 2026 Web DDoS attacks surged 110.6% over H1 2025; mitigations in the first six months alone already approach 83% of the entire 2025 total, and if H2 holds the same pace, full-year growth could reach 166%. By region, North America is projected to grow the fastest in 2026 (≈ +190%), versus ≈ +60% in EMEA and ≈ +27% in APAC.
Notice the scale of “110 or 509 attacks per customer per day” — for most enterprises DDoS is no longer a question of whether it happens, but a daily constant; the only question is whether your infrastructure survives it.
The report also carries an awkward survey stat for security teams: 77% of organizations are deploying AI agents, yet only 17.2% have full visibility into the agents running in their environments; over 70% have grown their internal API usage, 81.2% ship production API updates weekly, but only 6.9% fully document their APIs. The attack surface is expanding fast while defenders haven’t even finished an inventory of what they own.
Meanwhile bad-bot traffic stays elevated — H1 2026 is already near 60% of all 2025 volume, with North America at 50.1%. That crawler and automated traffic isn’t just a security problem: the CDN bandwidth and ops budget it consumes is real money (the same story we’ve covered in our AI bot traffic pieces and Cloudflare’s new AI-crawler defaults).
Stack the three facts together: negative time from disclosure to exploitation, 14,000+ malicious transactions per app per day, attackers that never sleep. The conclusion is one sentence: a defense that waits for a human to read an alert is a generation behind the attacker. Detection, blocking, and verification must happen at machine speed — in the same second the attack lands.
Concretely, three things: First, automated WAF and DDoS scrubbing at the edge, so abnormal traffic is stopped before it reaches the origin instead of waiting on a log review; second, continuous anomaly detection — behavioral baselines on your APIs and admin panels so the real exploitation buried in 14,000 bad transactions gets flagged in seconds; third, MTTR in minutes — you can’t control when a patch ships, but you can control how fast you get blocked, contained, and verified. That is why AIOps has moved from a “nice to have” to the baseline of entry.
When 80% of flaws are exploited before disclosure, the “wait for the patch” strategy officially expired this year. Lafa System’s answer is simple: automate detection, blocking, and verification so your defense reacts in the same second the attack lands — because the other side no longer waits for anyone.