Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

For decades, the United States National Institute of Standards and Technology (NIST) has been guiding industry efforts through the many publications in its Computer Security Resource Center. NIST has played an especially important role in the adoption of Zero Trust architecture, through its series of publications that began with NIST SP 800-207: Zero Trust Architecture, released in 2020.

Over the past few years, enterprises have rapidly integrated GenAI into an increasing number of workflows and use cases. Amidst the rush and excitement to adopt a free tool that significantly boosts productivity, business leaders de-prioritized privacy, till it became a compliance issue. As privacy tools offering a quick patch quickly flooded the market, businesses ran into a new problem – which is the best tool?

Traditionally, securing APIs in AWS has involved a frustrating trade-off. Obtaining a full view of your API Fabric requires weeks or months of deploying various agents, setting up traffic analysis, and enduring lengthy professional services engagements. The outcome? An unacceptably slow time-to-value that keeps you unaware of potential risks for too long. The main issue hasn't only been locating APIs, but also the extensive wait to identify them. But what if that trade-off is no longer necessary?

Launched in 2015 by a community of security researchers and developers, MobSF has continuously evolved to meet the growing challenges in mobile security. Initially focused on static analysis for Android apps, it has since expanded to support dynamic analysis with runtime instrumentation, API fuzzing, malware detection through sandboxing, and seamless CI/CD integration.

The speakers at ShowMeCon 2025 explored why policy isn't protection without validation. AI, identity, and threat detection must align to reduce operational risk.

The rise of generative AI has fundamentally changed how we work, create, and collaborate. But as organizations rush to integrate AI tools into their workflows, they're inadvertently creating entirely new categories of data risk that traditional security measures weren't designed to handle.

Today at re:Inforce Amazon Web Services (AWS), unveiled an enhanced version of AWS Security Hub which will enable organizations to surface and prioritize active risks in their cloud environment. Security Hub transforms security signals into actionable insights and offers intuitive visualizations and natural language summaries. Tines will offer workflow orchestration and automation for this enhanced version of Security Hub.