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Expert insights on Zero Trust security, SASE architecture, and cybersecurity best practices from industry leaders.
iboss launches the industry's first signatureless CASB with real-time DOM-level app control, full GenAI conversation capture, and dual risk scoring — securing enterprise data against vibe-coded, zero-day, and embedded AI applications.
Vibe-coded applications are being built faster than any CASB vendor can catalog them. The security model that depends on knowing about an app before it can be secured is structurally broken — and it's a problem happening right now in every enterprise.
Your network is secure. Your endpoints are protected. But what about the thousands of settings inside Microsoft 365, Google Workspace, and Salesforce? AI-powered SSPM reveals what manual audits miss.
iboss Unveils Inline Data Discovery with Microsoft Purview. New capability extends Microsoft Purview's data loss prevention to all network transfers, closing visibility gaps and helping prevent data leaks.
Zero Trust SASE describes a Secure Access Service Edge platform built around Zero Trust principles: never trust the network location alone, verify identity and context continuously, and grant least-privilege access to applications. In practice it means ZTNA (often replacing VPN) plus cloud security services such as Secure Web Gateway, CASB, DLP, DNS security, and firewall, delivered from a global edge, often with SD-WAN for sites. Zero Trust is the access model. SASE is how networking and security converge as a cloud service. Together they replace "connect to the network, then explore" with "connect to the application you are allowed to use."
AI DLP (AI data loss prevention) is the practice of detecting and controlling sensitive content in generative AI workflows: prompts, pasted text, file uploads, conversation turns, and related agent actions. Classic DLP watched email, web uploads, and endpoints. AI DLP extends those controls to ChatGPT, Copilot, Gemini, Claude, Grok, and other AI services so source code, customer data, PII, regulated records, and IP can be blocked or logged before they reach a model. Effective AI DLP needs content inspection (usually with TLS decryption), identity context, and policy that understands AI destinations.
Shadow AI is the use of artificial intelligence tools, chat services, browser extensions, APIs, or autonomous agents by employees (or agents acting for them) without formal IT or security approval, inventory, or policy. It is the GenAI-era form of shadow IT: productive work moves into ChatGPT, Copilot, Gemini, Claude, Grok, and emerging services faster than catalogs and allow-lists can keep up. The security problem is not AI itself. It is invisible data paths for source code, customer records, PII, and IP, plus no audit trail when something goes wrong.
Federal contractors face a compliance crisis. CMMC 2.0 deadlines are approaching, and most small businesses lack the budget or expertise to meet DoD cybersecurity requirements. For MSPs/MSSPs, this represents a massive opportunity—if you have the right solution.
The education sector is facing an alarming rise in cybersecurity risks as it enters 2025, according to a recent analysis by Moody's, a leading credit rating agency.
The education sector is facing an alarming rise in cybersecurity risks as it enters 2025, according to a recent analysis by Moody's, a leading credit rating agency.
The recent advisories and alerts issued by the Cybersecurity and Infrastructure Security Agency (CISA) concerning vulnerabilities in Ivanti Connect Secure and Policy Secure devices have stirred the cybersecurity community.
In today's rapidly evolving educational landscape, the integration of technology into classrooms has become an essential part of providing quality education. However, this integration comes with its own set of challenges, especially in terms of managing student engagement and ensuring a distraction-free learning environment.
SASE (Secure Access Service Edge) is a cloud-delivered architecture that combines network security and wide-area networking into one service. Instead of routing users through a data-center perimeter stack, SASE applies Secure Web Gateway, CASB, Zero Trust Network Access, cloud firewall, DNS security, and SD-WAN closer to users and applications. The goal is consistent policy, better performance for cloud and remote work, and fewer point products to operate.
