Generative AI is Exposing the Limits of WAFs. RedShield’s Approach Addresses the Gaps.

Operational Pain: False Positives, Blind Spots and Rule Churn

Accurate tuning of a WAF can require thousands of decisions to be made.  And even a well‑tuned commercial WAF can allow the majority of real attacks to pass while still blocking a noticeable share of genuine user sessions. Security teams often respond by lowering sensitivity, which reduces complaints but also widens the attack surface.

• Rule fatigue – Teams race to write new signatures for every fresh payload variant, an unwinnable task when AI can produce thousands daily.
• Baseline drift – Legitimate AI‑powered services change normal traffic patterns, confusing anomaly models and triggering more false alerts.
• Visibility gaps – Logic flaws and embedded prompt injections occur deeper in the stack than most WAFs inspect, leaving blind spots attackers can exploit

RedShield’s In‑Flight Security Patches: Built for an AI‑Accelerated Threat Landscape

RedShield’s approach fixes what is broken (with custom in-flight security patches that rewrite requests and/or responses on-the-wire), and augments that security with perimeter filtering. By fixing the underlying weakness rather than chasing every possible exploit string, RedShield keeps pace with automated adversaries. 

RedShield’s approach:

• Protect-Secure-Assure loop - A hardened base policy blocks generic bot and denial‑of‑service traffic, while vulnerability discovery and continuous assurance ensure coverage remains complete.
• In‑flight security patching - Logic flaws such as broken object references, CSRF or session fixation are neutralised without touching application code, defeating AI‑generated business‑logic attacks.
• Managed service model - 24 × 7 expert monitoring, CI/CD‑aligned testing and warranted outcomes place human expertise on the front line against rapid AI mutations.
• Ultra‑low false positives - Typical rates below 0.0002 % keep customers online even when attacks are at their peak.

Proof in Production

During a five‑day engagement, RedShield mitigated all seventeen verified vulnerabilities found in a target application. The incumbent WAF blocked only four, missing logic flaws that AI‑driven attackers find most attractive.  For example, vulnerabilities that the WAF did not address included Insufficient Authentication, Information Leakage, Predictable Resource Location, and Insecure Session Cookie.

The Bottom Line

Generative AI has transformed payload crafting, reconnaissance and phishing into commodities that outpace static WAF rule‑sets. RedShield restores control by fixing exploitable logic in real time, supported by continuous assurance and expert oversight. As AI accelerates the threat curve, organisations that adopt RedShield’s in‑flight patching model can keep shipping code, keep customers online, and still sleep at night.