Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

You're still doing API security manually in 2026? 2016: 100 APIs → Could handle with smart people doing manual pen testing 2020: 1,000 APIs → Difficult but possible 2025: 10,000+ APIs → Physically impossible Long ago we did API security manually. There weren't many APIs. We had smart people. We'd do some pen testing and move on. That worked in 2016. But let's be honest—this problem is getting EXPONENTIALLY bigger. Every organization will realize: we can't do this manually anymore.

Software release cycles are now too fast for traditional security tools. Rapid iterations and reliance on open-source and cloud-native tech increase vulnerabilities, challenging AppSec teams to keep up. Attackers are taking advantage, targeting applications and exploiting misconfigurations, excessive permissions, and vulnerable plug-ins.

Software release cycles are now too fast for traditional security tools. Rapid iterations and reliance on open-source and cloud-native tech increase vulnerabilities, challenging AppSec teams to keep up. Attackers are taking advantage, targeting applications and exploiting misconfigurations, excessive permissions, and vulnerable plug-ins.

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!)

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".

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)

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.

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.