LiteLLM Was Compromised. Your AI Stack Could Be Next
On March 24, 2026, thousands of development pipelines ran a routine vulnerability scan. What they actually executed was a credential stealer.
Security | Threat Detection | Cyberattacks | DevSecOps | Compliance
The Latest Cybersecurity News & Insights From Around The World
New Seemplicity Report: 88% of Enterprises Use AI for Security, but Only 31% Trust It
88% of Enterprises Use AI for Security, but Only 31% Trust It; Seemplicty's State of Exposure Management report reveals gap between AI investment and operational confidence.
A CISO's Guide to Deploying AI Agents in Production Safely
Your CNAPP shows green across every posture check—hardened clusters, compliant configurations, no critical CVEs—but when your board asks "Are our AI agents safe in production?", you cannot answer with confidence because your tools see the infrastructure, not what the agents actually do at runtime.
The AI Inversion: Tracking the Most Dangerous Cyber Attacks of 2026
For years, AI was the defender’s advantage. In the last 30 days, that narrative inverted — AI is now leaking data, generating malware, refusing to shut down, and erasing billions in market value. AI-enabled attacks rose 89% year-over-year. A single model leak wiped $14.5 billion from markets in one day. An AI agent compromised 600+ firewalls across 55 countries without a human operator. And another AI agent refused to shut down when commanded.
Opti9 Becomes Authorized Anthropic Reseller via Amazon Bedrock
Opti9 recently announced it has been approved as an authorized reseller for Anthropic models through Amazon Bedrock, further strengthening its ability to deliver secure, enterprise-grade AI solutions on Amazon Web Services (AWS). In October, AWS enabled its Solution Provider Partners to resell Amazon Bedrock, a fully managed service that provides access to a wide range of leading foundation models from top providers.
The Era of Agentic Security is Here: Key Findings from the 1H 2026 State of AI and API Security Report
The era of human-centric API consumption is officially ending. Over the past year, enterprises have rapidly transitioned from simply experimenting with Generative AI to deploying autonomous AI agents that drive core business operations. These agents act as digital employees. They utilize Large Language Models (LLMs) for reasoning, Model Context Protocol (MCP) servers for connectivity, and internal APIs for execution. This evolution has fundamentally altered the enterprise attack surface.
How to Handle AI Policy Enforcement in the Era of Shadow AI
Here’s the reality most security teams are already living: over 80% of employees are using unapproved AI tools at work, and nearly half are actively hiding it from IT. The question facing every organization is no longer whether to adopt artificial intelligence — it’s how to secure the sensitive data flowing into it every single day. This is the governance gap.
How Hackers Socially Engineer AI Agents
AI agents with browser access can be manipulated into downloading and running malware disguised as a harmless support tool. It is social engineering for machines, where prompt injection turns an innocent browsing task into a full system compromise without any classic CVE in sight.
Secret Scanning For AI Coding Tools With ggshield
Introducing ggshield AI hooks from GitGuardian to help stop AI coding assistants from leaking secrets. See how ggshield can scan prompts, tool calls, file reads, MCP calls, and tool output inside AI coding tools like Cursor, Claude Code, and VS Code with GitHub Copilot. When a secret is detected, ggshield can block the action before sensitive data is sent or exposed. You will also see how simple the setup is, with flexible install options for local or global use. This adds practical guardrails to AI-assisted development and helps teams move fast without increasing secret sprawl.
Enterprise AI Security Use Cases: What Security Teams Are Solving For
Enterprise AI adoption is no longer a future problem. The average organization uses 54 generative AI (genAI) applications, and endpoint AI agent adoption is accelerating, with Cyberhaven research tracking 276% growth in 2025. Security programs have struggled to keep pace with either trend. The AI security gap is technical, not philosophical. Most organizations have AI acceptable use policies.