Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

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.

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.

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.

You can no longer blindly bank on the security boundary you trusted most, and no one is talking about it enough. For years, phishing took a familiar form, such as emails, URLs, and login pages. ChatGPhish breaks that stereotype, though. Permiso Security’s Andi Ahmeti disclosed this technique on 29 May 2026.

A recent report about exposed Fortinet and FortiGate VPN credentials is a reminder of a hard truth in cybersecurity: risk is not always hidden in advanced malware or complex attack chains. Sometimes, the biggest exposure comes from known systems, forgotten access, weak credentials, or internet-facing assets that are not being monitored closely enough.

AI agent access control is about governing what autonomous software agents are allowed to do and access across your cloud infrastructure, data systems, and internal tools at runtime. It’s about identity ownership and action-level authorization, so your AI agents operate within tightly scoped, time-bound, and policy-enforced permissions that you can keep track of.

You're probably in one of two situations right now. Either an external auditor is already on the calendar and your team is scrambling to prove controls exist, or you've inherited a security program that looks mature from the slide deck but falls apart when someone asks for evidence. That's where a network security audit usually goes wrong. Teams treat it like a project with a start date and a finish date, when it works better as a validation loop. Its ultimate goal isn't to produce a thick report.

Penetration testing remains one of the most effective ways to identify exploitable vulnerabilities, validate security controls, and provide assurance that applications can withstand real-world attack techniques. For years, annual penetration testing was a reasonable approach. Most business applications changed relatively slowly, with major releases happening a handful of times each year.