Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Docker Sandboxes isolate AI coding agents from the host. The GitGuardian Mixin Kit adds ggshield and AI hooks to scan prompts, tool actions, and outputs for secrets, giving developers a safer, repeatable path for agentic coding.

Every IT team managing a mobile workforce eventually hits the same fork in the road: do you manage the whole device, or just the apps that matter? That question sits at the heart of the MDM vs. MAM debate. Getting the answer wrong can mean either locking down employee phones so tightly that people revolt, or leaving corporate data exposed on devices you barely control. Mobile Device Management (MDM) and Mobile Application Management (MAM) solve overlapping problems in very different ways.

For over a decade, the security industry has focused on one thing: training people not to click. Phishing simulations, awareness campaigns, behavioral nudges. The human is the attack surface. Harden the human, harden the org. And that's still true. But it's no longer the whole picture.

A public body running a high-risk AI system owes a fundamental rights impact assessment under Article 27 before first use, with the results notified to a market surveillance authority. The obligation is real and it is not yet in force. ‍ Regulation (EU) 2026/1744, in force since July 2026, deferred the section of the Act containing Article 27 to December 2027 for standalone high-risk systems and August 2028 for those embedded in regulated products.

If your vulnerability management program runs on a fixed scan-and-patch cadence, whether monthly, quarterly, or tied to a compliance deadline, you are measuring your response time against an attacker timeline that continues to accelerate. Vulnerability management remains a foundational security discipline. It identifies real, exploitable flaws and gives teams a structured way to prioritize and remediate them.

AI TRiSM solutions address distinct risks across the AI lifecycle, from governance and evaluation to runtime security, agent authorization, and guardrails. In this comparison, the top 15 solutions fall into five complementary categories: These categories are complementary, not interchangeable. The right stack depends on where an organization needs to govern AI, monitor behavior, block threats, control agent privileges, or constrain AI interactions.

New DXComply release enables privacy, GRC and security teams to verify whether native apps honor user consent choices without SDK integration or code changes. Toronto, Canada, September 23, 2026: Feroot Security Inc. today announced expanded native mobile application consent auditing capabilities in DXComply, enabling enterprises to verify whether iOS and Android apps honor users’ consent choices without requiring SDK integration or changes to application code.