Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What is Configuration Drift? 5 Best Practices for Your Team's Security Posture

Security configurations are not static. They evolve over time due to software updates, policy changes, emergency patches, and human intervention. While these changes are often necessary, they can lead to configuration drift, a gradual misalignment between an organization’s security controls and its intended security policies.

Stop Fearing AI - Learn To Use It #shorts #ai

Many people are afraid of Artificial Intelligence. Questions like: The truth is simple: AI is not going anywhere. Instead of fearing AI, the smarter approach is learning how to use AI tools responsibly in your daily work and career. Just like the internet and smartphones changed industries, AI is the next big technological shift. Start small, learn AI tools, and adapt to the future. Watch The Full Podcast: Link Below.

Understanding AI Compliance When Choosing AI-Enabled Solutions

2001: A Space Odyssey introduced the world to HAL 9000, the fictional artificial intelligence (AI). HAL’s capabilities include everything from facial recognition to natural language processing and automated reasoning. As HAL malfunctions over time, the computer becomes violent to prevent the humans from disconnecting it. The story serves as a morality tale suggesting that without human oversight, AI is dangerous.

Session on Ghost in the Machine: Attacking Non-Human Identities in the Age of AI Agents

In this eye-opening talk - DEF CON Pune (DCG-9120) held at Indira Group of Institutes, Mr. Kalpesh Hiran, VP of Technology at miniOrange, exposes the hidden dangers of Non-Human Identities (NHIs) - the API keys, service accounts, OAuth tokens, and AI agents powering your infrastructure. He spoke on organizations create 92 NHIs for every human user, Yet 97% are over-privileged, lack MFA, and linger as "orphans" post-project, fueling 80% of cloud breaches.

Securing OpenClaw Access So It Can't Go Rogue

In this video, we demonstrate how to securely grant an AI agent (OpenClaw) access to Teleport-protected Kubernetes resources using Teleport Machine Identity and tbot, without exposing secrets, API keys, or long-lived tokens. You’ll see how Teleport treats AI agents as first-class identities, enforcing strict RBAC controls so the agent can only do what it’s allowed to do, like reading logs, while being blocked from sensitive actions like deleting resources or accessing secrets.

Claude Code Auto Mode: What It Means for AI Agent Privilege Management

Anthropic’s new Claude Code Auto Mode Auto Mode is generating well-deserved attention. It introduces a classifier that sits between the developer and every tool call, reviewing each action for potentially destructive behavior before it executes. It’s a real improvement over the only previous alternative to manual approval: the –dangerously-skip-permissions flag. But the announcement is also useful for a broader reason.

AI Workload Security on Azure: Evaluating Defender for Cloud Against Specialized Runtime Tools

Your SOC gets a Defender for Cloud alert: “Suspicious API call from AI workload pod.” You click through and find a LIST secrets call against the Kubernetes API server from a pod running your invoice-processing agent on AKS. The pod’s Workload Identity has Contributor access to your key vault. By the time your analyst opens the AKS Security Dashboard, the pod has been rescheduled.

AI Agent Security Framework on AWS EKS: Implementation Guide

You’ve enabled GuardDuty EKS Runtime Monitoring across your clusters. You’ve configured IRSA for your Bedrock-calling agents. CloudTrail is logging every bedrock:InvokeModel event. And last Tuesday, one of your AI agents exfiltrated 12,000 customer records through a sequence of API calls that every one of those tools recorded as completely normal—because at the control plane level, they were.

What MSP and IT leaders need to know about security, compliance and AI in 2026

Artificial intelligence (AI) is transforming how organizations operate, but it’s also reshaping one of the most complex areas of IT: compliance. What was once a structured, checklist-driven process is now one that is continuous and fast-moving and that introduces new risks, dependencies and expectations. As AI adoption accelerates, so does the pressure on both managed service providers(MSPs) and IT professionals to interpret and comply with evolving regulations.