Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Detection is information; Blocking is mitigation. For Business Logic Abuse, simple detection alerts are not enough. Your tools must be able to actively block those manipulative, stateful attacks in real-time. Furthermore: Stop "one-and-done" security testing! You must continuously tune your testing by adopting an adversary's perspective. Tune your defense as constantly as attackers tune their exploits.

About Indusface: Indusface is a leading application security SaaS company, securing over 6,500 customers across 95 countries with its award-winning platform. Backed by leading institutional investors, Indusface is a category leader in cloud WAAP, with repeated recognition from top analysts and industry platforms including Gartner, Forrester, GigaOm, and G2. The industry's only AI-powered, all-in-one AppSec platform helps businesses discover, detect, remediate, and protect web applications and APIs at internet scale, backed by a 100% uptime guarantee.

Fixing Business Logic Abuse starts at the whiteboard, long before code is written. Here is the three-step defense: Map Critical Workflows: Visualize data flows and state transitions for all high-value features. Implement Adversary Emulation: Integrate the hacker's mindset into your process to find flaws early. Test Constantly: Refine and re-test the logic at every phase of the CI/CD pipeline.

Threat modeling is a critical function for effective cybersecurity and threat models must adapt to emerging threats. As API deployments grow across organizations, cybersecurity teams need to extend their threat modeling to include the API attack surface. In this webinar, we'll examine threat modeling best practices for APIs, focusing on the STRIDE methodology. Attendees will learn.

AI agents are transforming how leading companies operate, delivering 24/7 customer service, processing thousands of transactions, and driving unprecedented operational efficiency. 53% of organizations are already deploying AI agents for customer-facing tasks, with market leaders running hundreds or thousands of agents to gain a competitive advantage. These agents handle sensitive data, trigger transactions, and make autonomous decisions at machine speed. But the APIs that power them are becoming a vast, overlooked attack surface.

See your Blind Spots in Minutes, not Months: How Salt Security & AWS Simplify API Security AI agents and cloud-native architectures have unleashed a wave of APIs and with them, new attack surfaces. Most security teams are struggling to keep up, especially in dynamic AWS environments where shadow and zombie APIs can easily go undetected. This Salt Security and AWS webinar explores a better approach to API discovery and security in AWS without the burden of in-line traffic collection or sensor deployments.

No Fluff, Just Real-World Threats This isn’t your typical marketing webinar. We cover what Agentic AI actually looks like in production, how MCP servers work to broker instructions, and what kind of new threats are emerging. Agentic AI isn’t coming. It’s already here. Autonomous agents are now operating in production environments, reasoning, remembering, and taking real actions across your systems. They’re not just generating content. They’re triggering workflows, modifying records, and making decisions. And they’re doing it over APIs.