Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Five Checks Before An AI Photo Editor Ships A Badge Crop

Security decks lose trust when a badge crop invents a second logo mark on a credential that already locked the visitor log. Compliance reviewers who already matched the photo to the access list will compare the render to the badge scan. An AI Photo Editor helps only when the org mark stays the org mark and the ID number does not grow a cleaner, longer string. The source scan is the judge. Soft studio light has no vote on the credential.

7 Best Exposure Management Platforms for Cloud-Native Environments in 2026

Cloud-native infrastructure was supposed to make security simpler. Instead, it multiplied the surface. Every container image brings its own packages, every Kubernetes cluster adds services and network policies, and every cloud account layers security groups, identities, and managed services on top. Scanners dutifully report thousands of vulnerabilities across all of it, many labeled critical, and the backlog grows faster than any engineering team can patch.

A Practical Guide to Enterprise IT Risk Assessment

Enterprise IT environments now span cloud platforms, SaaS applications, endpoints, third-party services, and AI tools, creating more opportunities for disruption, security incidents, and operational failure. IBM’s Cost of a Data Breach Report 2026 puts the global average cost of a data breach at $4.99 million, while Verizon’s 2026 Data Breach Investigations Report found that 31% of breaches started with vulnerability exploitation and 48% involved a third party.

What Are Managed Services, and Why Can Network IT Teams Rely on Them?

That might sound like a trick question since it’s what we do as a managed infrastructure services provider. But it really isn’t. Here is the quick answer: Managed services let organizations outsource day-to-day IT operations, including networks, security, connectivity, and policy management, to a specialized provider.

Jev's Paradox: The hidden cost of cheap AI decisions

This article was first published on LinkedIn. Consider a cybersecurity alert for a potentially malicious PowerShell script that downloads and runs a file. An AI agent in a security operations center (SOC) can handle it by picking from a fixed set of actions: close the alert as benign, collect more evidence, or send it to an analyst. Before letting the agent act on such alerts, the SOC needs to know how often it picks correctly and whether its confidence helps identify its mistakes.

Beyond the Scanner: How Verified PoC exploits Prove True Business Risk

On September 1, OpenAI announced that its new model, GPT-6 Astra, had become the first to cross the “Critical” cybersecurity threshold in the company’s Preparedness Framework. Most coverage focused on the safety implications, and fairly so, but buried in the announcement sits a benchmark result that should change how every security leader reads their next vulnerability report.

Mobile App Security: Reverse-Engineering APKs and IPAs to Uncover Hidden Attack Vectors

Buried in OpenAI’s evaluations of its GPT-6 Astra model sits a finding that mobile teams should sit with for a minute. The model reverse-engineered compiled software well enough to escape a browser sandbox and chain privilege-escalation flaws on a hardened operating system, according to the company’s published evaluations. Reading compiled binaries used to be specialist work priced in weeks, and now it’s something machines do quickly and well.

FBI Winter SHIELD's Cybersecurity Controls Are Worth a Second Look

AI adoption is making everyone faster, including the attackers we as cybersecurity practitioners are competing with. While the attackers are getting faster thanks to AI, it’s not changing why most preventable breaches happen. That part is remaining consistent, for better or worse.