Straiker launches first security platform built specifically for AI agents, claims 98.10% detection accuracy to stop autonomous AI attacks before they spread across enterprise systems

Straiker, a new security control platform, addresses a gap in enterprise defenses: AI agents (autonomous AI programs that make decisions and take actions without human input) can access infrastructure, cloud services, and employee endpoints on their own, creating new attack surfaces. According to Gartner, a significant portion of AI agents are vulnerable to prompt injection attacks (malicious instructions inserted into AI systems), and Striker reports that successful attacks on productivity agents often result in silent data theft.

Unlike generic security tools, Straiker was built specifically for AI agent environments. It combines three capabilities: AI agent discovery (finds all agents and misconfigured connections across cloud, SaaS, and on-premise systems), adversarial testing (an automated red team that continuously attacks agents to expose weaknesses), and runtime protection (real-time blocking of malicious actions). Straiker analyzes behavioral signals across models, tools, identity, and infrastructure to achieve 98.10% detection accuracy.

For enterprises deploying AI agents across teams and systems, this matters because one compromised agent or successful prompt injection could trigger autonomous failures across the entire organization. Teams can now detect vulnerabilities before deployment and catch AI agent attacks in real time, reducing the blast radius of breaches and making it safer to scale agent-based automation across departments.