Encrypted traffic was supposed to make everything safer. In many ways, it
did. Today, the majority of web traffic is protected by TLS, helping
organizations secure user data and maintain privacy at scale.
But that same encryption has fundamentally changed how DDoS attacks work.
Attackers now operate inside encrypted sessions, blending in with legitimate
users and mimicking behavior to evade detection. These attacks are not
always large or obvious. Many are low and slow, distributed across
infrastructure, and designed to bypass traditional thresholds.
To detect them, you need visibility into application behavior. And that is
where the problem begins.
Most cloud-based protection models rely on inspecting traffic at scale. But
to do that effectively, they require access to decrypted traffic. This often
means sharing TLS private keys or moving decryption outside the
organization.
For many organizations, that is not an acceptable option.
Whether due to regulatory requirements, internal security policies, or
simple risk considerations, exposing encryption keys introduces a level of
dependency and potential vulnerability that security teams are not willing
to accept.
At the same time, relying only on locally scoped detection limits
visibility. You simply cannot see enough to identify sophisticated,
distributed attack patterns with confidence.
So organizations are left with a tradeoff. Maintain full control over
encryption and accept reduced detection capabilities, or gain broader
visibility while giving up control over sensitive assets.
That tradeoff is no longer sustainable.
A Smarter Way to Extend Protection
What if you could analyze decrypted traffic at cloud scale, without ever
exposing your encryption keys?
With the introduction of Cloud Web
DDoS Protection for
DefensePro X, Radware is changing how this
balance is achieved.
In this model, traffic is decrypted locally where the organization maintains
full control of its TLS keys. Nonsensitive metadata is then securely sent to the
cloud for advanced analysis, where large-scale behavioral models and global
intelligence are applied.
The critical difference is that encryption keys never leave the customer
environment.
This allows organizations to benefit from deep inspection and high-accuracy
detection based on full traffic visibility, without introducing the risks
associated with key sharing.
Once threats are identified, mitigation is enforced inline at the origin,
ensuring immediate response without changing traffic flow or architecture.
Why This Matters
This approach removes a long-standing barrier in Web
DDoS protection.
Organizations no longer have to choose between control and visibility. They
can analyze real traffic at scale, detect advanced and evasive attacks more
accurately, and still maintain ownership of their encryption and
infrastructure.
It also enables a more scalable model. Cloud detection provides the depth and
breadth needed to identify patterns that would otherwise remain invisible in a
single environment, while local enforcement ensures precise and efficient
mitigation.
As attacks continue to evolve in sophistication, this combination becomes
essential.
Because in today’s environment, effective protection is not just about
blocking traffic. It is about understanding it fully without compromising what
matters most.