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TechDogs-"Appsentinels Named Leader And Outperformer In Gigaom Radar For API Security"

Cyber Security

Appsentinels Named Leader And Outperformer In Gigaom Radar For API Security

Business Wire
Overall Rating

SAN FRANCISCO--(BUSINESS WIRE)--AppSentinels, leader in Business Logic Security for APIs, AI Agents, and MCP workflows, today announced that it has been recognized as a Leader and Outperformer in the GigaOm Radar for API Security.

The GigaOm Radar evaluates leading API security vendors across key capabilities such as discovery, testing, runtime protection, automation, and innovation. AppSentinels was positioned as both a Leader for strong execution and product capabilities and an Outperformer for rapid innovation and comprehensive platform strategy.

Download the GigaOm Radar for API Security report here: AppSentinels GigaOm Radar Report for API Security 2025

The recognition highlights AppSentinels’ unique approach to securing modern application architectures where APIs, AI agents, and tools interact to execute business workflows.

Traditional application security tools focus on protecting individual APIs or detecting vulnerabilities in isolation. However, modern applications rely on complex workflow-driven interactions across APIs, services, and AI-driven decision systems. Creating new attack surfaces traditional tools struggle to detect.

AppSentinels addresses this challenge through its Business Logic Security platform, which models relationships across APIs, workflows, and execution paths to prevent multi-step attacks that bypass traditional controls.

“Our recognition as a Leader and Outperformer by GigaOm validates the market shift we’ve been seeing,” said Puneet Tutliani, Co-Founder and CEO of AppSentinels. “Security teams are realizing attackers don’t exploit individual APIs - they exploit workflows. As AI agents increasingly orchestrate actions across APIs and tools, protecting the business logic connecting these systems becomes critical.”

The AppSentinels platform provides full lifecycle protection for modern applications, including:

  • Continuous discovery of APIs and AI Assets
  • Automated security testing that simulates chained attacks and business-logic abuse
  • Runtime protection that detects anomalous intent and enforces guardrails
  • Business Logic Graph modeling that maps execution paths across applications

This unified approach enables organizations to protect both the AI decision layer and the API execution layer, eliminating security blind spots when these systems are secured separately.

The recognition comes amid strong growth for AppSentinels as enterprises increasingly seek solutions to secure API-driven and AI-enabled architectures.

“As organizations embrace AI and agent-driven systems, the line between application logic and AI decision-making continues to blur,” Tutliani added. “Security must evolve to protect the entire execution chain - from AI intent to API action.”

About AppSentinels

AppSentinels is a leading cybersecurity platform delivering Business Logic Security for Agentic AI and APIs. The platform provides continuous discovery, automated security testing, and runtime protection to secure modern applications across cloud and hybrid environments.

For more information, visit www.appsentinels.ai


Contacts

contact@appsentinels.ai

Frequently Asked Questions

What recognition did AppSentinels receive?

AppSentinels has been recognized as a Leader and Outperformer in the GigaOm Radar for API Security for its strong execution, product capabilities, rapid innovation, and comprehensive platform strategy.

How does AppSentinels' Business Logic Security platform work?

The platform models relationships across APIs, workflows, and execution paths to prevent multi-step attacks. It provides full lifecycle protection including continuous discovery, automated security testing, and runtime protection.

Why is AppSentinels' approach to API and AI security critical today?

As AI agents increasingly orchestrate actions across APIs and tools, and the line between application logic and AI decision-making blurs, protecting the entire execution chain and business logic becomes critical.

First published on Mon, Mar 23, 2026

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