Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Introducing AI-powered Contextual Project Classification: From severity scores to business risk

Today, Mend.io is launching Contextual Project Classification, an AI-native feature that automatically analyzes your codebase to identify which applications handle sensitive data like payments, healthcare records, and PII, enabling true risk-based security prioritization.

AI Workload Security for Financial Services: What CISOs Need to Know

When your SOC alerts on “suspicious AI activity” in a production trading system, your response team faces a question that didn’t exist two years ago: can you explain to regulators exactly which function processed the malicious prompt, which internal tool it called, and how customer data ended up leaving your environment?

Why Generic Container Alerts Miss AI-Specific Threats

It’s 2:47 AM and your SOC dashboard lights up. Six alerts fire across three hours from a single Kubernetes cluster: an outbound HTTP fetch to an unfamiliar domain, a tool invocation inside a customer support agent, an API call to an internal service the agent has never contacted, a service account token read, a file write to a model artifact directory, and an outbound data transfer that looks like normal API usage.

AI Workload Security Tools: Runtime vs. Declarative Compared

You’re forty-five minutes into a vendor demo for AI workload security. The dashboard looks polished—posture scores, misconfiguration findings, vulnerability counts, all tagged with an “AI workload” label that wasn’t there last quarter. You ask the obvious question: “Show me how this detects a prompt injection attack on our production agent.” Long pause. The SE pulls up a generic process anomaly rule.

Cloud-Native Security for AI Workloads: Why It Matters and What's Changed

You’ve been securing Kubernetes workloads for years. Your CSPM is running, your CNAPP is configured, your team knows how to triage container alerts. Then an AI agent lands in your cluster — maybe from the data science team, maybe from a vendor integration, maybe from a tool you didn’t even know was running. Within a week, it’s making API calls nobody planned, accessing data stores that aren’t in the architecture diagram, and executing code it generated itself.

ACME Renewal Information (ARI) solves mass certificate revocation

In July 2024, DigiCert discovered they’d been issuing certificates with improper domain validation for five years. They gave customers 24 hours to replace 83,000 certificates. CISA issued an emergency alert. Critical infrastructure operators couldn’t meet the deadline. Some customers sued. That’s what mass revocation looks like in practice. The CA finds a compliance problem, the clock starts, and everyone scrambles. ACME Renewal Information (ARI) is the fix.

Why We're Elevating the Compliance Conversation

Before the AI spectacle of RSA arrives, let’s talk about what actually keeps regulated organizations secure RSA is only weeks away. And if you’ve been paying any attention to the pre-conference buzz, or if you work in technology generally, you already know what it’s going to feel like walking that floor: artificial intelligence, everywhere, in everything. AI-powered detection. Autonomous response. Agentic security copilots in everything from threat monitoring to your morning coffee.

AI Workload Security on AWS: Evaluating Native Tools vs Third-Party Solutions

Your Bedrock agent running on EKS receives a prompt through your RAG pipeline. CloudTrail logs it as a normal bedrock:InvokeModel event—status 200, authorized IAM role, expected endpoint. But inside the container, the agent’s response triggers a tool call that spawns curl to an external IP, exfiltrating the context window. GuardDuty doesn’t flag it because the connection routes through a permitted VPC endpoint. You open your AWS console and see a healthy API call.

How to Evaluate AI Workload Security Tools for Enterprise Teams

You’ve sat through three vendor demos this week. Vendor A showed you an AI-SPM dashboard with a pie chart of misconfigurations. Vendor B showed you a nearly identical dashboard with different branding and a slightly wider set of compliance frameworks. Vendor C showed you posture findings with an “AI workload” tag that wasn’t in their product last quarter.

Lovable vs. Bolt - Vibe Code Challenge

Which AI tool is better for building a real app without writing code, Bolt or Lovable? In this video, I put both AI app builders head-to-head using the exact same prompt to create a DIY home repair forum. From database setup to authentication, UI design, publishing, and security checks, we compare how each platform performs in real time. The goal isn’t just to generate something that looks like an app, it’s to see whether these tools can actually create something usable, functional, and potentially production-ready. We evaluate.