
Top 10 Business Logic Security Companies in 2026
TL;DR For business logic attacks, prioritize runtime behavioral detection over API discovery alone, tools that map workflows and catch abuse mid-sequence, not just at the request

TL;DR For business logic attacks, prioritize runtime behavioral detection over API discovery alone, tools that map workflows and catch abuse mid-sequence, not just at the request

TL;DR APIs are now the primary attack surface for enterprise SaaS, and the way teams test them has changed just as fast as the attack

TL;DR How a Claude-Powered OpenClaw Agent Exploited a Gym API to Steal a Workout Slot An Australian man named Andrew asked his personal AI agent, built on the

TL;DR Healthcare has spent years strengthening its infrastructure against ransomware, patching vulnerabilities, deploying endpoint detection, and implementing zero-trust architectures. Yet, attackers continue to find new ways to compromise healthcare organizations.

TL;DR AI Has Rewired How Healthcare Operates Healthcare has moved well past pilot projects. AI agents now triage support tickets, draft clinical documentation, manage patient engagement,

TL;DR One phone call. One deceived agent. 5.7 million exposed records and zero regulatory penalty. That’s the uncomfortable arithmetic behind the Office of the Australian Information Commissioner’s July

TL;DR AI Agents Are the New Decision Layer, and Nobody Fully Sees What They’re Calling Ask any security leader how many APIs their organization runs, and you’ll usually

TL;DR The Access Problem No One Scoped Properly Model Context Protocol (MCP) is what turns an AI assistant into an AI agent. It’s the standardized bridge

TL;DR Nine seconds. One API call. A car rental software company’s production data was gone. That’s the headline from the PocketOS incident, and it’s the reason

Key Takeaways Every major tournament cycle, ticketing platforms brace for a traffic spike. Most security teams plan for volume. The attack data tells a different story: the traffic

TL;DR A Pattern, Not a One-Off Three weeks ago, it was ServiceNow: an endpoint that never asked who was calling, exposing customer data to anyone who asked.

Key Takeaways Introduction AI systems are starting to do more than generate answers. Across customer support, IT operations, software development, and internal business workflows, organizations are

Organizations are investing heavily in securing their AI initiatives. New governance frameworks are being established, AI usage policies are being drafted, and security teams are deploying tools that provide visibility into AI agents,

Key Takeways Your Next Fraud Incident Won’t Come From a Human An AI agent with access to a customer’s brokerage account can begin executing trades. Not because the customer asked. Because

Key Takeaways On June 5, 2026, ServiceNow quietly pushed a security update to hosted customer instances. The fix, described in an internal knowledge base article, addressed

TL;DR The Permission Inheritance Problem Nobody Is Talking About When an enterprise deploys an MCP-powered AI agent, such as a coding assistant, a customer workflow automaton, an IT

When researchers disclosed the Lovable.dev vulnerability, the headline made it sound like a sophisticated attack. It wasn’t. There was no exploit.

Key Takeaways The Moment the Internet Tipped On April 27, 2026, a threshold was crossed that the internet had never hit before. Cloudflare Radar data confirmed that automated systems,

As enterprises adopt AI agents, two control points are becoming common: AI Gateways and MCP Gateways. They sound similar, but they solve different problems. An AI Gateway controls how applications interact

An account-takeover campaign against Instagram shows why agentic AI inherits every business logic blind spot we already had and then hands it a megaphone. Over the past weekend, a number of Instagram

TL;DR Traditional API security protects deterministic systems with known endpoints and explicit actions, while MCP-powered AI agents operate through inferred intent, dynamic tool chaining, and natural language interactions.

TL;DR Introduction We have officially entered the era of agentic AI where Large Language Models (LLMs) have become active decision-makers. They browse our databases, execute code, manage cloud infrastructure,

The non-human identity (NHI) problem was always the same problem: too many service accounts, too few owners, too many secrets in too many places.

The enterprise security world is having two separate conversations that desperately need to collide. On one side, application security (AppSec) teams are scrambling to secure APIs – the connective tissue of

Business logic flaws show up in fintech apps, travel platforms, ticketing systems, SaaS tools, you name it. They tend to be noticed more where the financial impact is direct, but they exist everywhere.

In today’s dynamic digital landscape, applications are the backbone of modern businesses. They drive operations, facilitate customer interactions, and manage critical data. However, the intricate web