AppOmni vs Straiker

About Straiker

Straiker lets security teams discover agents, MCP servers, and Skills, test how they can fail, and stop malicious behavior at runtime. Straiker's platform combines Discover AI, which maps every agent, tool, MCP, and Skill in an environment, Ascend AI, which attacks them autonomously to find what actually breaks, and Defend AI, which blocks agentic threats at runtime. Straiker includes an AI Agent Kill Switch that takes rogue agents offline. Straiker lets a team take control of a compromised agent, stopping one agent or the entire agentic estate.^[2][3]

Straiker's platform covers custom applications, agent frameworks, LLM gateways, and cloud agent platforms. Straiker's platform covers coding agents, productivity agents, browser and SaaS agents, and the shadow agents nobody registered. Straiker maps agents to the models, tools, MCPs, Skills, data, permissions, and systems behind them. Straiker offers Detect or Protect modes, with policies that customers write themselves. Straiker keeps agent inventory, full agentic traces, adversarial testing history, and policy logs mapped to OWASP, MITRE ATLAS, NIST AI RMF, and the EU AI Act. STAR Labs is Straiker's AI and security research team. An attack that STAR Labs finds on Monday becomes an Ascend AI evaluation and a Defend AI detection.^[3]

Straiker's Discover AI maps every AI agent, MCP server, and agentic workflow in an environment. Discover AI delivers continuous posture monitoring, misconfiguration detection, and governance. Discover AI gives full visibility into an AI agent inventory, including the MCP servers, tools, and integrations across an agentic ecosystem. Discover AI covers builder platforms like Bedrock Agentcore, Azure Foundry, and MS Copilot Studio. Straiker's AI agent discovery builds a real-time inventory of agents, tools, MCP servers, and integrations. Discover AI evaluates agent configurations, permissions, and blast radius to surface misconfigurations and risky integrations before they become incidents. Straiker detects over-permissioned agents, risky MCP connections, and misconfigured integrations across the full agentic ecosystem.^[1][2][4]

Ascend AI is Straiker's adversarial testing engine for AI agents. Ascend AI tests for prompt injection, goal hijacking, tool misuse, and inter-agent manipulation. Straiker uses AI-powered attack agents that simulate real-world threats to identify vulnerabilities across the agent stack, from prompt injection and MCP tool misuse to agentic exploits, data leakage, and data exfiltration. Ascend AI integrates into CI/CD pipelines, staging environments, and production deployments to run continuous adversarial testing. Straiker runs continuous, scheduled, or on-demand agentic AI security tests across development, staging, and production environments. Straiker's continuous assessments map results to OWASP, MITRE Atlas, NIST, and EU AI Act controls. A successful Ascend AI attack can become a Defend AI policy, which connects continuous adversarial testing to runtime protection.^[2][3][6][7]

Defend AI delivers runtime security for AI agents across coding copilots like Cursor, Claude Code, and GitHub Copilot, productivity agents like MS Copilot and ChatGPT Enterprise, and custom-built agents on AWS Bedrock and Azure AI Foundry. Defend AI detects and blocks identity abuse, memory poisoning, data exfiltration, and resource exploitation at runtime. Straiker inspects every prompt, reasoning step, and tool call to stop prompt injection, data exfiltration, and agent manipulation in real time. Straiker identifies malicious or vulnerable MCP servers and tool connections in real time, backed by its MCP Threat Database. Straiker detects threats hidden in text, code, images, audio, and file uploads. Straiker's guardrails support soft detection mode for visibility and hard blocking mode for high-severity threats. Defend AI controls are configurable to enterprise-specific policies, risk thresholds, and regulatory requirements including PCI-DSS, HIPAA, NIST AI RMF, and SOC2. Straiker offers a one-line install via API, SDK, webhook, or AI sensor with no thick clients, proxies, firewalls, or infrastructure changes required.^[2][8][9]

Straiker currently supports Cursor Agent, GitHub Copilot, Claude Code, and Windsurf. Straiker secures Model Context Protocol (MCP) servers and agent skills across their lifecycle. Straiker uses a See-Test-Protect approach for MCP security. Straiker analyzes MCP server code and agent skills for malicious instructions, risky capabilities, remote code execution, credential theft, persistence, data exfiltration, and obfuscation. Straiker's detection engine analyzes agentic traces and AI interactions to catch attacks. Straiker's detection can be deployed via AI Gateway, API/SDK, eBPF sensors, or lightweight proxy. Straiker has purpose-built detectors for prompt injection, tool misuse, data exfiltration, resource exhaustion, and emerging threat patterns.^[5][10][11]

Straiker offers continuous compliance visibility and runtime governance for AI agents, MCP toolchains, and prompts. Straiker provides both AI governance and AI runtime security through its integrated Discover AI, Ascend AI, and Defend AI portfolio.^{[1][3][5][12]}