Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Agentic Data Classification: A New Architecture for Modern Data Protection

In the evolving landscape of data protection and compliance, data classification is the bedrock of safe AI workflows. Yet legacy approaches rely on singular models that are fixed, rigid, and limited in context. Our agentic data classification approach reshapes this paradigm by not relying on any single model. Instead, we orchestrate a dynamic, intelligent layer that automatically selects the right model for the job.

CMMC Enclave Strategy vs Full Environment Compliance

With any security framework, be it ISO 27001, FedRAMP, or CMMC, the goal is not to secure “your business.” It’s to secure sensitive and controlled information that your business handles. This is a fundamentally important way of looking at your security. Why does this matter? It’s all about borders. Where do you draw the line between what you keep secure and what you don’t care about?

Effortless Data Security: From Discovery to Enforcement on a Single Platform

For years, data security has been divided into artificial categories. Data Loss Prevention (DLP) focused on enforcement. Data Security Posture Management (DSPM) focused on discovery. Insider risk management lived somewhere adjacent. And now, AI security has arrived as yet another bolt-on.

Why Performance-Based Questions Are the Real Security+ Challenge (and How to Beat Them)

If you've passed a multiple-choice certification exam before, you might assume the CompTIA Security+ will be more of the same. You read the question, eliminate two obviously wrong answers, pick the best remaining option, and move on. Then you hit your first performance-based question. Suddenly you're staring at a simulated firewall interface, asked to configure ACL rules for a production web server. There's no A, B, C, or D. Just a blinking cursor and a timer counting down. This is where most Security+ candidates panic, and it's exactly why PBQs exist.
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AI for Security Infrastructure: Rebalancing Cybersecurity for the Decade Ahead

For more than a decade, cybersecurity has been shaped by a single doctrine: assume breach. Facing high-volume, relentless, and diverse attacks, the security industry has been forced into a reactive stance, playing a constant game of whack-a-mole in a nonstop damage-limitation exercise. This has driven major investment in detection, response, and recovery, and created a world in which organizations are better at reacting to incidents than at preventing them in the first place.

What is vendor compliance, and why does it matter?

Modern organizations depend on a vast network of third-party vendors to deliver their products and services, often outsourcing logistics like manufacturing and customer support. While this promotes scalability and innovation, relying on external parties can create blind spots in data security, regulatory compliance, and risk management. ‍ These gaps exist because vendors often don’t operate under the same policies and ethical standards as the organization with which they collaborate.

Why the UK Thinks Differently About Cybersecurity Compliance

A multinational financial institution walks into its annual PCI DSS review confident it has “checked the boxes.” Firewalls are segmented, logs are retained, access controls are documented, and the audit report is clean. Months later, the same organization is reprimanded by the UK Information Commissioner’s Office (ICO). The controls were properly implemented.

Vibe Coding Speeds Up Mobile Apps But Creates New Security Risks

AI-assisted development has crossed a tipping point. Mobile teams are no longer debating whether to use AI to write code. They are deciding how fast they can ship with it. This shift, often called vibe coding, prioritizes intent and speed over manual implementation. Developers describe what they want, and AI fills in the rest. Velocity improves. Releases accelerate. But security assumptions quietly break. For mobile applications, that risk compounds.

Futureproofing Tines: Fair share orchestration

Fair-share orchestration of resources in a tenant, especially in a multi-tenant context is a complex, multifaceted issue. It involves ensuring equitable access to shared resources, preventing system overload, and maintaining optimal performance across all customer workflows. As more customers build and trust Tines with their most important workflows, (which sees the platform handle over a billion automated actions per week), we recognized that we needed to ensure our platform's scalability.