Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How to maintain code quality standards with AI code and vibe coding

It’s amazing how non-developers have recently been empowered to create their own apps that can even generate revenue. We’ve recently seen progress across the AI development field, from AI being successful in “greenfield code” (apps built from scratch) towards “brownfield code” (larger scale existing applications).

The Safety Problem Nobody Warns You About When You Start Training a Language Model

There's a version of the LLM safety conversation that stays comfortably abstract - AI alignment, existential risk, theoretical failure modes that matter at a scale most organizations will never reach. That conversation is important, but it's not the one most product and technology leaders need to be having right now. The one they need to be having is more immediate and considerably more practical: how the specific decisions made during llm training services directly shape whether the model you deploy is one your organization can actually stand behind.

Latency Lessons From Building a ReAct AI Agent for Agentic Search

Egnyte AI surfaces insights from an organization's documents for regulated industries—life sciences, financial services, architecture, engineering, and construction—and does that within existing permissions and compliance controls. Our AI Assistant is the conversational front door. Ask a question about your documents in plain language, summarise a contract, find the latest version, pull a compliance clause, and get an answer grounded only in the files you're permitted to see.

Best Tools for Securing MCP and LLM Integrations

Shadow IT used to mean employees spinning up unsanctioned software-as-a-service (SaaS) apps that stored company data without approval. Today, shadow MCP and unsanctioned LLM integrations represent the next evolution, and they're more dangerous. Model context protocol (MCP) servers don't merely store data; they act on it, executing code, calling APIs, and accessing internal tools on behalf of AI agents that developers connect with a config file.

Your Firewall Rules Are Drifting Right Now. You Just Can't See It

Firewalls are the single most common source of misconfiguration-related breaches, yet they get changed a hundred times a week and audited once a quarter. This is the network security gap AI attackers exploit first. Endpoint gets the budget. Identity gets the roadmap. The firewall gets changed constantly and reviewed rarely. It is also the control most tied to breaches: 42% of security teams pinned a firewall misconfiguration to a breach or near miss last year, ahead of EDR at 40% and identity at 39%.

How to Use AI Video Generators Safely Without Compromising Your Privacy

AI video generation has moved from a niche technical capability into a mainstream content production tool in 2026. Marketing teams, content creators, businesses, and individual users are producing campaign videos, social media content, product demonstrations, and brand story videos from text prompts without any filming equipment or production expertise. What most of these users have not considered carefully is what happens to their data when they use these tools.

5 Best Predictive Cyber Intelligence Platforms for Enterprise Security Teams (2026)

Most security tools describe what has already happened. The harder question is what happens next: which exposures an attacker will chain together, and where they will get in. CloudSEK's Global Threat Landscape Report 2025 describes cybercrime as a structured, industrial ecosystem built on stolen credentials, access marketplaces, and coordinated attack chains, and frames the response as a shift from reactive defense toward predictive resilience.

How AI Is Accelerating the Cyber Kill Chain?

AI Is Accelerating the Cyber Kill Chain: Faster Attacks, Greater Risk AI is changing the speed and scale of modern cyber attacks. From accelerating reconnaissance to reducing the time required for initial access, attackers are leveraging AI to move faster across the entire cyber kill chain. In this video, Paul Girardi explains how AI is impacting each stage of the attack lifecycle, including: As attackers automate more of the kill chain, security teams need smarter approaches to detect, disrupt, and deceive adversaries before they can achieve their objectives.

Agentic Trust Controls

As organizations adopt agentic AI, we believe open collaboration is the fastest path to building trustworthy AI governance. Today, we're introducing a new open source project: Agentic Trust Controls. Agentic Trust Controls are designed to help the GRC community evaluate and govern AI agents with greater consistency and confidence. Explore the project and share your feedback at trustcontrols.ai.

How to Prevent Data Leakage to GenAI Applications

An analyst pulls up the DLP console expecting to see alerts on the source code, customer records, and financial data employees paste into ChatGPT, Copilot, and a dozen other AI tools every day. Instead, the console is quiet, because the policies enacted by the legacy DLP system were built to catch file transfers and email attachments. But, none of the above traffic looks like a file transfer.