Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Securing ChatGPT, Copilot, and Gemini: A Practical Guide for Enterprise Security Teams

ChatGPT, Copilot, and Gemini are already part of daily work in many companies. People use them to draft text, summarize notes, review code, and move faster on routine tasks. That speed is useful, but it also opens a new path for data to move in ways security teams may not see at first. This guide looks at the most common risks, the controls that matter, and the simple steps that help teams keep AI use safe without slowing work down. It is built for people who need clear answers, not a pile of jargon.

Five Worthy Reads: The growing tide of post-quantum cryptography

Five Worthy Reads is a regular column highlighting five noteworthy articles we've discovered while researching trending and timeless topics. In this article, we're exploring post-quantum cryptography (PQC), which is a rapidly evolving field focused on protecting sensitive data from the future threat posed by quantum computers. Current digital security relies heavily on public key cryptography to protect sensitive information, secure communications, and verify identities.

Export Code42 cases to Jira and email automatically

If your security team is managing insider risk or data loss investigations in Code42, keeping Jira and your inbox in sync is tedious. This story from the Tines library solves that by automating the full export process end-to-end. In under five minutes, you'll see how Tines lists all open Code42 cases, deduplicates them to avoid repeat alerts, downloads each full case export as a zip file, creates a pre-populated Jira ticket with key case details, attaches the export to that ticket, and emails it directly to the relevant recipient.

A Guide to ISO 27001 Clauses - Updated for 2026

Around the world, nearly 100,000 businesses have navigated the challenges of ISO 27001 and earned their certifications. If you want your business to be the next on the list, you need to understand the 11 clauses that make up the security framework, including what they are, why they exist, and what they require you to do. Let's start where you might reasonably expect to begin: with a definition of what the clauses are.

mTLS for AI Agents

AI agents are increasingly accessing APIs, databases, SaaS applications, MCP servers, and other services without human intervention. As these autonomous systems become part of enterprise infrastructure, organizations need reliable ways to verify their identity before granting access to sensitive resources. Traditional authentication methods such as API keys and bearer tokens were designed for applications and users, not autonomous agents operating continuously across distributed environments.

Data Growth Tests Backup Capabilities: How to Keep Up

Quick answer: Data is growing faster than most organizations can store or protect it. Falling hardware costs, abundant bandwidth, paperless workflows, and regulatory mandates all fuel this surge. To keep critical data safe and recoverable, many organizations now outsource backup to specialists like 11:11 Systems, which delivers secure, compliant, cost-effective cloud backup. Picture a closet you keep stuffing with all kinds of clutter.

From Data to Decision: How Trusted Threat Intelligence Cuts Through the Noise

Security teams are not short of data; they are short of intelligence they can trust. This piece explains how raw threat data becomes trusted, actionable intelligence through validation, attribution, and enrichment, and why the distinction matters as false positives and threat volumes continue to rise.

Appknox vs Runtime-Only Mobile Testing Tools: What Dynamic Analysis Cannot See Before the App Runs

Frida hooks into your app's running process in seconds. It intercepts API calls, dumps the keychain, bypasses SSL pinning, and reveals exactly what the app does at runtime. Frida is also the tool attackers use to do the same things to your users. Runtime testing tells you what happens when an app runs under test conditions. It does not tell you whether the app can resist those same tools when an attacker uses them in production. That answer is not in the runtime session. It is in the binary.

Americans Lost $900 Million to AI-Powered Scams Last Year

The US Federal Bureau of Investigation (FBI) warns that Americans lost just under $900 million to AI-powered scams in 2025, Malwarebytes reports. Total reported losses to scams last year reached nearly $21 billion, a 26% increase from 2024. The researchers note that the true losses are likely much higher, since many attacks go unreported. “The main drivers behind the rise in AI-powered scams are voice cloning, deepfake images and videos, and AI‑generated scripts,” Malwarebytes says.