Risk Engine: Smarter Risk Decisions, Backed by Data You Can See
SecureAuth’s risk engine doesn’t just flag risk—it explains it. Every signal, every decision, and every session is scored in real time, with full transparency and control.
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Static Risk Policies
Security shouldn’t treat every user—or every risk—the same. Your customers, your teams, and your environments all behave differently. Rigid rules lead to friction, blind spots, and overcorrection when what you really need is precision.
SecureAuth lets you tailor how risk is evaluated and enforced based on your users, your systems, and your tolerance.
Because adaptive security only works when it’s built to understand the reality you operate in.
What Makes Us Different
Not all identity solutions are created equal. Here are the innovations our customers say changed the game.
See every signal and every decision—no more black-box logic. Full transparency into what triggered a response, and why.
Let local admins manage users, policies, and SSO within strict boundaries—no over-permissioning, no policy bleed.
Fine-tune LOA scoring based on your risk tolerance, users, or regulatory needs. You’re in control—not the algorithm.
Combine battle-tested policy logic with unsupervised ML to balance predictability, flexibility, and scale.
Built to Solve Real Identity Problems
92% LOA accuracy based on session data
<15% average false positive rate across behavior-driven sessions
behavior, IP, geo, velocity, device fingerprint, and more.
The Cost of Staying Static
Every missed signal is an opportunity for attackers—and a hit to your bottom line. Static rules miss behavioral drift, black-box scores can’t be audited, and post-login blind spots lead to session hijacks, token theft, and policy sprawl IT can’t control. With fraud prevention gaps widening and audit demands rising, a legacy risk engine isn’t just outdated—it’s dangerous.
SecureAuth changes that.
Our AI/ML -powered risk engine adapts in real time, explains every decision, and continuously learns from context—so you can shut down risk without slowing users down.
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