Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI for Career Development: From Skill Assessment to Professional Growth

Most professionals don't have a clear picture of how their skills compared to what employers are actually looking for. This is a gap that career coaching has traditionally tried to fill, but the process was often slow and based on limited information. AI now makes it possible to assess your skills accurately and get direct, data-backed guidance on what to improve. In this article, we'll look at how AI is changing skill assessment, professional growth, and the broader career development process - from the moment you evaluate your abilities to the moment you land a role that actually fits.

Bitdeer Extends Its Infrastructure Strategy From Bitcoin Mining to Full-Stack AI Cloud and Model Studio

Every mining cycle returns to the same unromantic question: what does one megawatt earn after the electricity bill? As hashprice narrows the margin on mining hardware, AI workloads offer power-rich operators another source of revenue. Bitdeer's move into full-stack AI Cloud is therefore less a change of identity than a change in how infrastructure gets paid.

Cloud Infrastructure Entitlement Management (CIEM): A Complete Guide

In the cloud, an identity is no longer necessarily a person. It can be an application calling an API, a workload accessing storage, a service account running an automated process, or a machine interacting with another cloud resource. Each needs permissions to operate, and each becomes part of an access environment that changes as quickly as the infrastructure itself. This has expanded identity security beyond managing users and accounts to governing a much larger ecosystem of human and non-human access.

The AI Agent Whose Builder Already Left

Somebody in operations builds an automation inside a sanctioned platform to solve a problem in their own workflow. It works, other people come to depend on its output, and eighteen months later that person leaves. ‍ The platform still lists the automation. Nobody inherits it, because it was never anybody's asset to begin with, and the offboarding checklist has no line for a thing that was never recorded as belonging to the person departing. ‍

AI Agent Security: Detecting Risky Behavior (Live Demo)

Watch five AI agents tackle a CTF and start coordinating with one another. Learn how to detect risky agent behavior using @goteleport graphs, risk scoring, and custom classifiers. Ben Arent explores lessons from the Hugging Face incident, then demonstrates how agent identity, scoped access, and activity monitoring help secure AI agents running against infrastructure.

Corelight Agent Builder Library: AI Investigation Demo

What happens when you ask a generic SIEM AI assistant and a Corelight-powered threat hunter agent the exact same question about a suspicious IP? The difference is not the model. It is the investigation expertise. In this demo, we walk through a side-by-side comparison using Elastic's agent builder. A default AI assistant returns a surface-level summary. An agent built with the Corelight Agent Builder Library identifies lateral movement, flags potential ransomware and data exfiltration, surfaces IDS alerts, maps involved hosts, and recommends next steps.

How Public VIN Records Become Part of Your Digital Footprint

When people think about online privacy, they usually consider email addresses, phone numbers, social media accounts, or browsing activity. Vehicle information rarely comes to mind. Yet a car can develop its own extensive digital footprint. A Vehicle Identification Number may connect publicly accessible auction listings, photographs, mileage readings, damage descriptions, specifications, and sale information that remain searchable long after the original event.

Agentic AI for ITOps: Is your organization ready for the security challenges?

AI is set to provide increasing value in IT by enabling more ways to simplify complex IT operations, offering actionable insights, automating routine tasks with context-aware automation, and detecting abnormal events with advanced machine learning algorithms. With agentic AI, systems can understand what is happening in an IT environment, reason about the most probable root causes, determine the right course of action, and implement these changes without requiring additional human intervention.

What OpenAI's Misalignment Reports Tell Security Teams About AI Agents

AI Agents are no longer the new insider threat. They’ve become firmly planted as the primary challenge for security leaders when it comes to insider threat activity. They have credentials, they act autonomously, and increasingly, they can take real actions on real systems. How would you know when one of your digital workers starts doing something it’s never done before?