The Problem
Probabilistic risk scores rely on behavioral guesswork, leading to high false-positive rates.
The Impact
Legitimate users face unnecessary friction and CAPTCHA challenges.
The Flaw
Behavioral biometrics can be mimicked by sophisticated bot networks.
The Solution
Deterministic hardware attestation provides a clear yes or no based on physical silicon signals.
Probabilistic security assigns a risk score based on behavioral patterns, which is essentially a guess. Deterministic security uses cryptographic hardware attestation to prove the client environment is genuine, providing a definitive yes or no.
Because they are not 100% accurate, they often flag legitimate users as 'suspicious,' forcing them to solve CAPTCHAs or undergo extra verification steps.
By validating the hardware and telemetry signatures of the requesting client. Since we can prove the device is a genuine consumer device, we don't need to challenge the user with visual puzzles.
The Era of Guesswork
For years, the cybersecurity industry has relied on probabilistic risk scores to identify malicious traffic. These systems analyze behavioral biometrics—mouse movements, typing speed, and navigation patterns—to calculate the likelihood that a user is a bot.
We think this approach is fundamentally flawed. A risk score is, by definition, a guess. When you rely on probability, you inevitably encounter false positives. A legitimate user who happens to be using a new device, a VPN, or simply browsing quickly can be flagged as "high risk," resulting in blocked access or the dreaded CAPTCHA challenge.
The Failure of Behavioral Biometrics
In our opinion, behavioral analysis is no longer enough to stop modern threats. Sophisticated bot networks have evolved to mimic human behavior with startling accuracy. They use residential proxies to rotate IPs and inject random delays to simulate human-like interaction.
When your security model is based on "how likely is this user to be a bot," you are playing a game of cat and mouse that the attacker is designed to win. If the attacker can mimic the behavior, the probabilistic score drops, and the bot gains entry.
Deterministic Bot Mitigation
At TrustSig, we believe banking and enterprise security should be deterministic. We do not guess.
Instead of analyzing behavior, we challenge the client's environment. By extracting hardware-level telemetry—such as WebGL rendering fingerprints, CPU thread concurrency, and audio context evaluation—we can mathematically prove whether the browser is a genuine consumer device or a headless emulator running on a rack server.
This process is:
- Deterministic: It provides a clear yes or no based on physical silicon signals.
- Privacy-First: We validate the environment without tracking or profiling the individual user.
- Invisible: Because we verify the hardware, we do not need to interrupt the user with puzzles or friction.
Why Deterministic Wins
By moving away from probabilistic scoring, we eliminate the guesswork that plagues traditional fraud prevention. When you know for a fact that a request is coming from a genuine, unmodified consumer device, you can allow that traffic with confidence.
This approach ensures a smoother, more secure experience for your legitimate customers while completely neutralizing automated threats at the edge. We believe the future of security is not in analyzing how a user acts, but in verifying the integrity of the device they use.
References
Secure your endpoints today
Deploy hardware-level attestation in minutes. Eradicate bot traffic with zero user friction and absolute GDPR compliance.
Start protecting free