Overview
Picture a large bank in the middle of an attack. Its online banking portal is being hammered by HTTPS requests, and the application servers are starting to strain. The security team can see the flood. What they cannot do is take the easy route: export private SSL keys to a third-party cloud scrubbing service. Policy will not allow it. So, the team is stuck with a familiar but uncomfortable question: how do you stop a Layer 7 attack when you cannot decrypt the traffic?
DDoS attacks are not just growing they are changing. According to the Radware’s 2026 Global Threat Report, organizations are experiencing a sharp rise in application-layer attacks. At the same time, law enforcement operations continue to reveal the scale of modern attack infrastructure. In a recent case reported by Reuters on March 20, 2026 authorities disrupted botnets spanning over 3 million infected devices used to launch DDoS campaigns.
For years, much of the industry treated TLS decryption as the practical answer to application-layer visibility. That made sense when customers were willing to share keys and when operational models allowed it. That assumption is now breaking down. The question is no longer whether a provider can claim “keyless” protection. The question is whether the provider has an architecture designed to turn non-decrypted encrypted-traffic behavior into application-aware mitigation. This is where Radware’s position is different: keyless protection is not handled as a detached signal or emergency throttle, but as part of the mitigation engine’s decision-making path.
The Battle Has Moved to Layer 7
For banks, government agencies, healthcare providers, and other highly regulated organizations, this is not a corner case. The very rules that protect sensitive data can also limit how much traffic can be inspected in the cloud. That creates a hard tradeoff: either decrypt and gain visibility or keep keys private and accept weaker protection. Neither option is good enough anymore.
Radware’s view is straightforward: keyless protection should not mean “best effort” protection. Avoiding key exposure is only half the story. The harder part is preserving real Layer 7 decision-making when the payload stays private.
What is a Web DDoS Attack?
Encrypted Web DDoS attacks do not primarily target the TLS handshake itself. In most cases, the attack occurs after the TLS session has already been established, within pre-opened encrypted connections. Once the secure connection is in place, attackers generate a high volume of encrypted HTTP requests, typically measured in Requests Per Second (RPS), creating significant load on the application servers that host the targeted service.
These attacks often rely on veteran encrypted-attack tools rather than sophisticated application-mimicking behavior. The payloads are commonly randomized and are not necessarily designed to imitate legitimate application flows or user behavior. Their purpose is not to exploit application logic or blend perfectly with real users, but to consume server-side resources by forcing the application infrastructure to process large volumes of encrypted requests.
In plain terms, the attack works because the server still must do the work. It must accept the connection, process the request, and spend resources on traffic that looks protected but is hostile. Encryption is not the target, it is the cover.
From Hidden Payloads to Visible Signals
The important distinction is what remains possible when SSL keys are not shared. Radware cannot inspect encrypted HTTP headers without the private keys, and the blog should not imply otherwise. The payload stays private. But the attack does not become invisible. Connection behavior, source concentration, TLS/session characteristics, traffic distribution, and attack timing still create signals that can expose the attacker population before the application is fully overwhelmed.
This is where many keyless offerings fall short. They can spot rising pressure, connection anomalies, or unusual TLS metadata, but they stop at detection. The response is usually blunt: slow traffic, restrict a region, impose a rate limit, or redirect enforcement upstream. Those controls may relieve the servers, but they can also punish legitimate users because they do not identify which clients are actually driving the attack.
Radware uses the signals that remain visible to make the mitigation decision itself. The system learns how encrypted clients normally behave for the protected application. When behavior breaks from that pattern, it creates a real-time signature and enforces against the clients that match it. The goal is precision: remove the attacking population without treating every encrypted request as suspicious.
The underlying technology analyzes encrypted transactions across multiple TLS fingerprints. It learns which fingerprint values are stable for the application, detects the ones that become anomalous, and turns those anomalies into an attack signature in real time. Simply noticing that encrypted traffic is rising is not enough. The system must identify which client behaviors no longer fit the application it is protecting.
That matters when an attack is underway. Broad controls can buy time, but they often do so at the customer’s expense. A busy application is not necessarily an attacked application, and high traffic alone is a poor basis for blocking users. Radware keeps the decision tied to the application’s normal behavior and the specific pattern that departs from it. In my view, that is the standard keyless protection should meet: preserving application-aware mitigation even when the payload cannot be decrypted.
What Buyers Should Ask Next
Buyers should look past the “keyless” label. Ask the vendor to show exactly how non-decrypted signals influence mitigation. Those signals should be measured against the protected application’s own baseline, used to create an attack signature in real time, and carried through to enforcement. If they only trigger a generic rate limit or an upstream traffic control, the product has detected a problem; it has not solved the Layer 7 decision.
Most serious vendors can claim that they protect encrypted Layer 7 traffic without holding the customer’s SSL keys. That claim no longer separates them. What matters is what happens after the signal appears. A platform that observes the attack but cannot turn that observation into precise, application-aware enforcement is still leaving the hard part to the customer.
Return to the bank from the opening scenario. Keeping its SSL keys private removes one risk, but the attack is still happening. The bank needs a system that can recognize abnormal encrypted clients, connect them to a common attack pattern, and block them without sweeping legitimate users into the response. That is the real test of keyless protection: can the platform still make an application-aware mitigation decision when it cannot decrypt?
Use that test on your current provider. Ask to see how its keyless architecture moves from signal to signature to enforcement, and what happens to legitimate users along the way. If that path is vague, the protection probably is too. Explore Radware’s architecture to see how application-aware Layer 7 mitigation can work without key sharing.