Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How Modern DLP Enables AI Adoption Without Slowing Down the Business

Organizations are not choosing between AI adoption and data security. Rather, they are discovering, often after the fact, that these two priorities are pulling in opposite directions. The engineering team has been using GitHub Copilot for six months. Finance is running variance analysis through ChatGPT. Legal is pasting contract language into Gemini for redlining. According to Cyberhaven Labs research, 39.7% of the data employees share with AI tools is sensitive.

How AI Just Killed Expensive Enterprise Software

AI is disrupting the enterprise software market. James Rees built a fully-functional GRC tool in just two weeks using Codex. No development team needed. No million-pound licensing fee, just AI and subject matter expertise. If a CISO can build what competitors charge hundreds of thousands for in a couple of weeks, what happens to the vendor market? As large language models like Daybreak and Mythos evolve, this problem gets worse for SaaS companies.

3 Principles to Safely Scale Agentic AI

AI is moving from experimentation to execution. What started as copilots is quickly evolving into autonomous AI agents that can make decisions, execute tasks, and operate across enterprise environments. As organizations accelerate adoption of agentic AI, they’re expanding their attack surface in ways traditional security models weren’t built to handle.

Salt Cloud Connect for Github

Your developers are shipping agents, MCP servers, and APIs faster than security can see them. GitHub Connect changes that. Salt scans your repositories and surfaces every agent, MCP server, and API hiding in your codebase, then maps them into the Agentic Security Graph. You see the agentic infrastructure forming in code, before it ever reaches production. No more waiting for runtime to find out what shipped. No more blind spots between dev and prod. Govern what's being built from day one.

Automation, Intent, and Ownership: What to Learn from the AI Agent Security Summit

When the AI Agent Security Summit launched in San Francisco last October, agent-based threats had already escalated from a novel consideration to a predominant blocker for enterprise adoption. The security community was laser-focused on recognizing and minimizing the blast radius posed by agentic vulnerabilities, whether that meant indirect prompt injection, MCP poisoning, or hallucinations.

AI SecOps Worskhop Series: Building Custom Stand-Alone Dashboard Applications

This hands-on workshop is designed for security professionals, developers, and analysts who want to unlock the full potential of their security data through custom dashboards and visualizations. We will guide attendees through a practical, step-by-step process demonstrating precisely how to leverage the robust capabilities of the LimaCharlie API in conjunction with the power of Claude Code to build rich real-time dashboards.