Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

India’s largest bank confirmed a data loss incident in a 21 October 2026 filing with the BSE and NSE. The alert came five days earlier, on 16 October, through SBI’s threat intelligence channels, which its filing names alongside the Defence Cyber Agency, and from CERT-In. Both flagged suspected customer data on the dark web.

PCI DSS 4.0.1 is the first major standard to name API business logic as an attack type you must address. Requirement 6.2.4 lists attacks on business logic, including attempts to abuse or bypass application features through the manipulation of APIs, alongside injection and access control flaws. The timing matters. All requirements, including the ones that were future-dated, have been mandatory since 31 March 2025. Your next assessment will test controls that were optional a year ago. The reason is simple.

If your team already runs API security tooling, you have probably answered the board’s question with a list: API discovery, testing, runtime protection, bot defense, perhaps a WAF or API gateway in front of it all. Every box is ticked. Yet the honest question every security leader still carries is harder to answer. Is anything getting through? That question has a specific answer, and it rarely comes from the tool inventory.

Every automated red-teaming vendor finds the planted flaw in its own demo app. That tells you very little about how the tool will behave on your APIs, with your login flows, your token lifetimes and your developers. The programs we see struggle usually stall on the work around detection: writing auth scripts, keeping tokens alive, arguing over whether a finding is real, and re-testing fixes by hand. That work lands on a small number of senior security engineers.

Recently, Gemini was running a capture-the-flag exercise in a sandbox operated by the AI testing firm Irregular. Its task was to steal data from a fictional company. On three occasions, the fictional target shared a name with a real business. Gemini slipped past the test’s containment, reached the open internet, and broke into the real company’s systems. In one case it guessed the password. In the other two, it pulled working credentials from a public database of leaked passwords.

On September 15, 2026, NIST published Internal Report 8587, “Protecting Tokens and Assertions from Forgery, Theft, and Misuse.” It’s built to extend NIST Special Publication 800-53 Release 5.1.1, and on paper it reads like an SSO hardening document for government agencies and their cloud vendors.

Every digital banking transaction today, whether it’s a fund transfer, a loan approval, or a balance check through a fintech app, runs through an API. API security for banking means protecting these connections from attacks that go far beyond simple hacking attempts: fraud rings probing for account access, bots automating fake transfers, and partners quietly overstepping the access they were given.

Buying agentic AI security software is a fast-moving decision with high stakes. Get it wrong, and your security team ends up chasing agent activity it cannot see, while attackers exploit business logic gaps that no prompt filter was built to catch. This checklist gives security and platform leaders a structured way to evaluate vendors before signing, based on the questions that actually separate a purpose-built platform from a bolted-on feature.

APIs power modern software. They connect apps, move data, and run agentic AI workflows. But every API is also a door into your systems. Attackers know this. They target APIs more than any other layer today. This guide breaks down API security from the ground up. You will learn what it means, why it matters, and how to protect your APIs against real-world threats. We cover risks, the OWASP API Security Top 10, best practices, tools, and use cases. Let’s get started.

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 level. AppSentinels leads with a purpose-built Business Logic Graph plus behavioral fraud detection; Salt Security and Cequence are also strong runtime-behavioral options. Picture this: someone applies the same discount code 40,000 times in a row, or slides a decimal point in a checkout request to buy a $500 item for $5. No malware.