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Tag: need

AI traffic is getting bigger, louder, and less predictable

AI workflows need storage that supports repeated movement across the model lifecycle. Large datasets are ingested, transformed, exported for training, pulled back for evaluation, and refreshed as models evolve. Backblaze’s Q1 2026 Network Stats report says this creates a shift from diffuse internet-style traffic to large, high-bandwidth flows between fewer endpoints. Monthly view of all…

Enterprise VPN Solutions Every Business Should Know in 2026

This guide is for IT leaders, security teams, and growing businesses that need secure remote access to corporate systems. It highlights the top enterprise VPN solutions in 2026 that protect data, control access, and support reliable connectivity. Think of your enterprise network as a busy airport. Every employee, device, and data packet is trying to…

29 million leaked secrets in 2025: Why AI agents credentials are out of control

AI agents need credentials to work. They authenticate with LLM platforms, connect to databases, call SaaS APIs, access cloud resources, and orchestrate across dozens of external services. Every integration point requires an identity. Most organizations are handling this badly, and the evidence is in the code. GitGuardian’s State of Secrets Sprawl Report found 28,649,024 new…

A framework for securely collecting forensic artifacts into S3 buckets

When customers experience a security incident, they need to acquire forensic artifacts to identify root cause, extract indicators of compromise (IoCs), and validate remediation efforts. NIST 800-86, Guide to Integrating Forensic Techniques into Incident Response, defines digital forensics as a process comprised of four basic phases: collection, examination, analysis, and reporting. This blog post focuses…

AI agents still need humans to teach them

AI agents need skills — specific procedural knowledge — to perform tasks well, but they can’t teach themselves, a new research suggests. The authors of the research have developed a new benchmark, SkillsBench, which evaluates agentic AI performance on 84 tasks across 11 domains including healthcare, manufacturing, cybersecurity and software engineering.  The researchers looked at…

Digital Fingerprinting in 2026: What Platforms Know About You Before You Click

Platforms don’t need cookies to track you. Learn how digital fingerprinting works across four layers and practical steps to reduce your exposure. You cleared your cookies. You’re using incognito mode. Maybe you even have a VPN running. None of that matters as much as you think. Modern platforms don’t need cookies to identify you. They’ve…

VIDEO: Think Small to Win Big – How Helikai Is Proving That Micro AI Agents Beat the Billion-Dollar Brute-Force Approach

Every CEO in the Fortune 500 has issued some version of the same mandate: We need an AI strategy. Most of them have also experienced the same humbling result – twelve months of well-funded engineering effort that produced little more than a glossy slide deck and a bruised budget. So, how does going micro produce macro results?…

File integrity monitoring with AWS Systems Manager and Amazon Security Lake 

Customers need solutions to track inventory data such as files and software across Amazon Elastic Compute Cloud (Amazon EC2) instances, detect unauthorized changes, and integrate alerts into their existing security workflows. In this blog post, I walk you through a highly scalable serverless file integrity monitoring solution. It uses AWS Systems Manager Inventory to collect…

Implementing data governance on AWS: Automation, tagging, and lifecycle strategy – Part 1

Generative AI and machine learning workloads create massive amounts of data. Organizations need data governance to manage this growth and stay compliant. While data governance isn’t a new concept, recent studies highlight a concerning gap: a Gartner study of 300 IT executives revealed that only 60% of organizations have implemented a data governance strategy, with…

Implementing data governance on AWS: Automation, tagging, and lifecycle strategy – Part 1

Generative AI and machine learning workloads create massive amounts of data. Organizations need data governance to manage this growth and stay compliant. While data governance isn’t a new concept, recent studies highlight a concerning gap: a Gartner study of 300 IT executives revealed that only 60% of organizations have implemented a data governance strategy, with…

Implementing data governance on AWS: Automation, tagging, and lifecycle strategy – Part 1

Generative AI and machine learning workloads create massive amounts of data. Organizations need data governance to manage this growth and stay compliant. While data governance isn’t a new concept, recent studies highlight a concerning gap: a Gartner study of 300 IT executives revealed that only 60% of organizations have implemented a data governance strategy, with…

Implementing data governance on AWS: Automation, tagging, and lifecycle strategy – Part 1

Generative AI and machine learning workloads create massive amounts of data. Organizations need data governance to manage this growth and stay compliant. While data governance isn’t a new concept, recent studies highlight a concerning gap: a Gartner study of 300 IT executives revealed that only 60% of organizations have implemented a data governance strategy, with…

Attackers Don’t Need to Breach Your API -They’ll Breach the Tools That Touch It

The API supply chain is the new security blind spot. Attackers no longer need to breach your APIs directly; they can target the third-party services that connect to them. These unmanaged dependencies are now the shortest path to your sensitive data. The recent Mixpanel incident is a stark reminder of that fact.  What Happened During…

Attackers Don’t Need to Breach Your API -They’ll Breach the Tools That Touch It

The API supply chain is the new security blind spot. Attackers no longer need to breach your APIs directly; they can target the third-party services that connect to them. These unmanaged dependencies are now the shortest path to your sensitive data. The recent Mixpanel incident is a stark reminder of that fact.  What Happened During…

Advanced Protection: Google’s Strongest Security for Mobile Devices

Posted by Il-Sung Lee, Group Product Manager, Android Security Protecting users who need heightened security has been a long-standing commitment at Google, which is why we have our Advanced Protection Program that provides Google’s strongest protections against targeted attacks. To enhance these existing device defenses, Android 16 extends Advanced Protection with a device-level security setting…