Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

You're probably here because you’re inundated (and fed-up!) with the number of acronyms around security tools, platforms, and processes. Every software provider wants to differentiate themselves in a crowded space with new capabilities, leaving developers and security pros exhausted.‍ So here’s our no nonsense list of security acronyms to help you figure out what’s what.

Policy-based identity management transforms security administration from individual device and user management to comprehensive policy frameworks that automatically govern identity lifecycle, access controls, and security enforcement across entire IoT ecosystems. The key elements of policy-based identity management include defining user roles, managing user access, implementing identity governance, and leveraging role based access control to ensure appropriate access and compliance.

With the rise of CI/CD pipelines, cloud-native development, and globally distributed teams, sensitive credentials like API keys, tokens, and database passwords often slip into source code. Sometimes accidentally, sometimes under pressure to deploy fast. This is not a rare mishap. A recent study found that 34% of API security incidents involve sensitive data exposure. And according to Cyble, over 1.5 million.env files containing secrets have been discovered in publicly accessible environments.

Network Detection and Response systems excel at monitoring network traffic and identifying patterns, but they face inherent challenges with sophisticated threats that mimic legitimate behavior. Fidelis Deception addresses these NDR limitations by creating definitive detection points that eliminate ambiguity in threat identification.

AI can be entertaining and powerful, but it can also be exploited.

While all manner of legitimate organizations are attempting to understand how to best and safely use artificial intelligence to improve productivity, the Trustwave SpiderLabs' Technology Deep Dive: AI Cyber Arms Race takes a forward-looking view at how adversaries are gaining experience and capability in their ability to turn AI against us.

In today’s dynamic threat landscape, technical debt isn’t just a budgeting headache—it’s a growing national security risk. According to McKinsey, technical debt consumes up to 20% of engineering and DevOps capacity across large enterprises. For U.S. federal agencies—defense and civilian alike—the cost of carrying outdated, unsupported infrastructure goes far beyond inefficiency.