Brief Overview

The good news: the pace of business is quickening with the rise of Agile DevOps. The bad news: pre-production vulnerability mitigation can’t be done quickly enough to keep up with rapid application releases. Forensics and incident response for live threats against production applications is a major challenge: there’s no visibility whatsoever once an attack passes the network layer and breaks into the operating environment. Moreover, third-party and legacy code is often impossible to fix. These problems create an alarming exposure to risk at runtime.

Prevoty’s breakthrough LANGSEC language-theoretic application security engine is field-proven to secure enterprise applications at runtime and resolve these major enterprise applications vulnerabilities. It can automatically block web-based attacks in production without using unwieldy signatures or requiring code changes — a low-maintenance, high-performance approach that divided security and application development teams can both finally appreciate.

LANGSEC emerged from academia. Prevoty’s founders foresaw today’s challenges, namely that: a) signatures cannot keep up with an infinite number of patterns, b) statistically significant heuristics do not exist in an ever-changing DevSecOps world, and c) applications cannot perform data flow analysis in production without taking a performance hit. Prevoty’s LANGSEC is 30 times faster than perimeter methodologies, with a higher correct rate than scanners or tests. It reduces enterprises’ unending need to stay one step ahead of hackers with manual blocking.

The long-term impact on how we protect applications given increasingly continuous, high-velocity development will be lasting. Enterprises will no longer need to have previously seen a particular attack in order to defend against it. LANGSEC provides the full “who, what, where, when, and how” immediate insight on attacks being waged on an application, driving smarter event mitigation decisions. Reactive firefighting will subside, replaced by developers who are secure coding experts and security professionals that calculate runtime risk more accurately.