Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Stop Staring at JSON: How GenAI is Solving the API "Context Crisis"

There is a moment that happens in every SOC (Security Operations Center) every day. An alert fires. An analyst looks at a dashboard and sees a UR: POST /vs/payments/proc/77a. And then they stop. They stare. And they ask the question that kills productivity: "What does this thing actually do?" Is it a critical payment gateway? A test function? Does it handle credit card numbers or just transaction IDs?

MCP & AI Agent Security: Addressing the Growing Data Exfiltration Vector

The security landscape is shifting. For the past two years, security teams have focused primarily on what users type into chatbots by monitoring interactions with ChatGPT, Gemini, and Claude. But a new risk vector is emerging, one that operates largely outside traditional security controls: AI agents accessing corporate data autonomously through the Model Context Protocol (MCP).

From IDE to CLI: Securing Agentic Coding Assistants

Today we’re excited to announce that Zenity now protects the most powerful, enterprise-critical coding assistants - Cursor, Claude Code, and GitHub Copilot - from build-time to runtime. As AI becomes a first-class developer tool, Zenity gives security teams the visibility and control they need to safely embrace coding assistants everywhere they’re used, in IDEs, CLIs or in the cloud.

Teleport Introduces Agentic Identity Framework to Secure AI Agents in Production Infrastructure

Teleport announces the Teleport Agentic Identity Framework, an AI-centered framework that provides organizations with a clear roadmap for securely deploying agentic AI in production cloud and on-premises environments. The framework defines the policies, practices, developer tools, and reference architecture required to operate autonomous and semi-autonomous AI agents as trusted identities across modern infrastructure, securing infrastructure against risk of data compromise and from external adversarial threats.

AI Infrastructure Needs an Agentic Identity Framework - We're Building It

AI agents are about to cross a threshold. For infrastructure and security leaders, agentic AI is no longer an innovation topic but a production readiness problem. What started as sandboxed applications and tech demos at trade shows (bet you’ve seen a few of those) has morphed into long-running autonomous actors operating directly in production cloud and on-prem infrastructure. They read data, write code, deploy services, access databases, and make decisions continuously across environments.

AI Action > AI Advice

Sr. Technical Content Strategist From Advisory AI to Operational AI in Security Operations The early wave of AI SOC platforms has delivered mixed results. While AI proved its usefulness as a triage assistant and next-step remediation advisor, these benefits came with significant drawbacks. Foremost, the cost of outsourcing an AI SOC is significant. Medium enterprises could expect to pay anywhere from $120,000 – $360,000 a year for the service.