Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI is Actively LEAKING Your Data (And You Don't Know It) #apisecurity #airisks #dataprotection #ai

AI agents don't think. They pattern-match. Critical to understand: Generative AI (ChatGPT, Claude, etc.) does NOT reason like humans. It: The API Security problem: When you give an AI agent access to an API, it will: AI agents can't reason. They recreate patterns based on weights. You need to be very careful: data in, data out. Practical example: text User: "Show me the account balance for user" AI agent → calls GET /api/account/123 API → returns { balance: 5000, name: "John", SSN: "123-45-6789" } AI agent → outputs EVERYTHING to user (including SSN!)

Why API Security Is No Longer an AppSec Problem - And What Security Leaders Must Do Instead

APIs are one of the most important technologies in digital business ecosystems. And yet, the responsibility for their security often falls to AppSec teams – and that’s a problem. This organizational mismatch creates systemic risk: business teams assume APIs are “secured,” while attackers exploit logic flaws, authorization gaps, and automated attacks in production. As Tim Erlin noted recently, “These are not exploits of a specific vulnerability, but abuse of an API.”

Business Logic Abuse: The Attack You Can't Patch #businesslogic #apisecurity #cybersecurity

The attack that no patch can fix Scenario:"Give me one million pizzas" API responds: "OK, one million pizzas at $0.01 each" Attacker: "Thanks!" What happened? API works exactly as designed Syntax is correct Protocol is followed WAF sees nothing wrong BUT the business logic intended: "Max 100 pizzas per order, at normal pricing".

Your API Is the New Titanic (Iceberg Already Here) #apisecurity #cybersecurity #riskmanagement #api

The Titanic didn't hit the iceberg by accident. Organizations hit the API security iceberg for the same reason: they didn't see it coming. Your API iceberg consists of: Public APIs — for customers (SaaS, partners, third-parties) Private APIs — internal infrastructure (larger companies = larger insider threat surface) Partner APIs — for ecosystem integration AI APIs — the new frontier (and the most dangerous)

$170k Gone in One Day - API Paid Out Money Itself #apisecurity #cybersecurity #fraud #api #ai

This isn't a data leak. This is direct financial loss. The case: Flex Pay (payment processor in India) The vulnerability: An API flaw allowed unauthorized payouts The impact: $170,000 vanished in a single day Why this matters: Most CISOs focus on data breaches. But some APIs control MONEY. If that API is vulnerable, the attacker doesn't steal data—they drain your accounts. Attackers aren't always after data. Sometimes they're after money. And financial APIs are often the most neglected from a security perspective.

What We Got Right (and Wrong) about 2025

Watch now for a clear and candid look back at the predictions made for 2025 by Wallarm and by other voices across the industry. During the session, we revisit what people expected to happen in cybersecurity, API security, and the broader technology space, and compare those expectations with what actually unfolded throughout the year.

57% of Companies ALREADY BREACHED Through APIs (Your Company Is Probably Next) #apisecurity #api

82% of companies are going API-First in 2025 But here's the troubling fact: 57% of them have ALREADY been breached through APIs. Why? Because they're going API-first without a solid API security strategy. It's like buying a sports car and forgetting the insurance. Organizations are racing toward digital transformation while threat actors simply walk through the open door. Threat actors love when you're API-first without a good security program. It makes their job easier.

7 Reasons to Get Certified in API Security

API security is becoming more important by the day and skilled practitioners are in high demand. Now’s the time to level up your API security skillset. Wallarm University, our free training course, provides security analysts, engineers, and practitioners with hands-on skills you can’t get from documentation, videos, or traditional courses. Run real attacks, investigate real signals, and learn exactly how to defend API environments when it counts. Here are the 7 reasons you should register.

Bots vs. Barcodes: The Resource Quota Failure. #ticketmaster #bla #ratelimiting #businesslogic

The infamous Ticketmaster case highlights BLA 1: Resource Quota Violation. Attackers used bots for mass purchasing and employed ingenious evasion: they reverse-engineered the barcoding logic to rotate and authenticate tokens, bypassing security controls. The core failure? Flawed rate limiting and business logic expiration. You must protect your inventory and your purchasing flows as if they were financial assets.