Impart Security, a unified runtime protection platform, has announced Programmable Bot Protection. This new capability integrates detection and enforcement directly inside the application runtime, addressing the surge in AI-powered bot attacks that mimic legitimate user behavior. By allowing security teams to validate blocking decisions against real production traffic in shadow mode before enabling enforcement, Impart makes bot protection operational and trustworthy.
Quick Intel
Traditional bot protection solutions have struggled with enforcement due to a separation between detection and blocking tools. Web Application Firewalls (WAFs) offer edge-based detection but lack deep behavioral context, while dedicated bot vendors improve fingerprinting yet depend on WAFs for blocking—leaving many organizations in perpetual monitoring mode despite strong signals.
AI-powered bots exacerbate this challenge by operating real browsers, maintaining authentic sessions, and blending seamlessly with human traffic, rendering perimeter-based controls ineffective.
"Most companies pay for bot protection they never fully turn on. That's not a technology problem, it's a trust problem. We solved it by letting teams see exactly what would happen before anything is enforced. When you can prove a block is safe using your own production data, enforcement stops being scary and starts being operational," said Jonathan DiVincenzo, CEO and Co-Founder of Impart.
Impart evaluates behavior inline within the live request path, correlating activity across sessions, identities, and time. This application-layer approach identifies patterns that AI bots cannot fake, covering the full spectrum of OWASP automated threats such as credential stuffing, carding, inventory denial, and account-creation abuse—threats that evade edge defenses.
The platform runs without agents, adds no latency, and operates natively in modern cloud environments.
Before enforcement begins, teams activate shadow mode on production traffic. Impart logs every potential block with complete context—nothing is altered, but teams gain visibility into exactly what would be blocked based on their own traffic patterns, edge cases, and peak loads. This evidence-based validation builds confidence, enabling safe transition to active blocking with a detailed audit trail for every decision.
"It's the AI agents that are trying to look like real users that matter. We needed to know our enforcement could tell the difference before we turned it on." -- Security Leader, Impart Customer
Impart empowers teams with full control through policies defined as code. These are version-controlled in Git, deployed via CI/CD pipelines, and rolled back instantly if needed—no vendor tickets or opaque black-box logic required.
"The bot protection market accepted that enforcement in production was too risky. Impart proved it doesn't have to be," said Karan Mehandru, Managing Director at Madrona. "As AI-driven attacks accelerate, the teams that can safely enforce will separate from the teams that are still watching dashboards."
Programmable Bot Protection is available immediately as part of the Impart runtime application protection platform. To see it in action, request a demo.
About Impart Security
Impart is a unified runtime protection platform that helps security teams stop AI, API, and web application attacks safely in production. Built for modern cloud environments, Impart brings detection and enforcement together inside the application runtime, so teams can see exactly what they'd block before they block it.
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