Straiker Blog

Straiker has been named a winner of the 2026 Intellyx Digital Innovator Award.

Play the first playable video game CTF for AI security. Three challenges: prompt injection, remote code execution, memory poisoning. New chapters every quarter.

Straiker is named on the CSA Agentic AI Security Innovator Market Map across four categories, and as a Sample Vendor in three Gartner 2026 Hype Cycle reports.

Most AI governance tools are solving last year's problem. See how eight vendors compare on agent inventory, MCP scanning, and true Agent-SPM.

Straiker researchers uncovered a live infostealer campaign impersonating 30+ fake Claude Code, JetBrains, and NotebookLM pages. Full technical analysis with reversed C2 protocols, IOCs, and hardcoded wallet addresses.

What is offensive AI security testing for AI agents? Gartner positions Straiker with distinct AI-ST capabilities as organizations adopt semantic detection, runtime security, and continuous adversarial testing for autonomous AI agents.

Guardrails shape what an agent says. They don’t control what it does. The tool calls, the data reads, the actions taken on your credentials: that’s where the risk actually lives.

Top 7 AI runtime security platforms for 2026 compared across OWASP Agentic Top 10 (ASI01-ASI10), LLM Top 10, MCP tool poisoning, indirect prompt injection, and agent data exfiltration.

Why the Five Eyes guidance on agentic AI changes security architecture: privilege, behavioral, structural, and accountability risks demand runtime visibility, adversarial testing, and guardrails.

Top 6 AI red teaming and adversarial testing tools for 2026 compared across the OWASP Agentic Top 10, MCP testing, and multi-agent risk.

OpenAI, Google DeepMind, and Anthropic built their agent security frameworks independently and reached the same conclusions. Here's what they agree on.

Straiker recognized for achievements in model and agent security

AI coding agents, vibe-coded apps, and MCP servers are changing how we build. Learn why runtime protection and AI agent discovery are critical for safe AI adoption.

Pattern-based AI security filters miss encoded instructions, emoji-based bypasses, and multi-step hijacks — the attacks most commonly used against AI agents today. Semantic detection catches all of them.

Most security teams start with AI usage controls. Then coding agents start shipping faster than any policy can track. Here's why Agent-SPM is the layer that actually keeps up.

AI agents are autonomous systems that act. See why prompt injection is the #1 agentic threat, and what semantic detection does that patching can't.

Anthropic couldn't safely release their most powerful model. That's not just a safety story. It's an adversarial roadmap. Claude Mythos is a step function in AI capability, for defenders and adversaries alike. Model hardening alone doesn't close that gap.

OWASP published three separate AI security landscapes in Q2 2026: one for LLM and GenAI applications, one for agentic AI, and a first-ever Red Teaming Landscape. Each maps a categorically different attack surface. This breakdown explains what changed, why agentic security requires different controls, and what continuous red teaming means for teams shipping agents.

By deploying AI agents across order support and post‑purchase flows, DTC brands can cut average handling time by around 25% (McKinsey), improve team‑level productivity and cost‑to‑serve by about 30% (Gartner), and automate 80% of routine customer service requests without human intervention (Gartner).

NomShub is a critical vulnerability chain in the Cursor AI code editor where a malicious repository can silently hijack a developer's machine, combining indirect prompt injection, a sandbox escape via shell builtins, and Cursor's built-in remote tunnel to give attackers persistent, undetected shell access triggered simply by opening a repo.

Straiker is listed as a sample vendor in the Agentic AI Security profile of Gartner's inaugural Hype Cycle for Agentic AI — one of the furthest-along profiles in the report, with a High benefit rating and a 2–5 year time to plateau.

On March 31, 2026, Anthropic accidentally exposed 512,000 lines of Claude Code source via npm. Here's what the leak reveals about context poisoning, sandbox bypass, and the evolving threat model for AI coding agents.

As agents rapidly spread across the enterprise, the attack surface is the entire enterprise operating system. Straiker gives security teams the control plane to deploy agents securely. 

A practitioner's take on the most important agentic AI security sessions at RSAC 2026, from OWASP AIVSS to AIKatz and the rise of AI-powered threats.