The Agentic Security Company

COMPANY OVERVIEW

Straiker is an agentic AI security company headquartered in Mountain View, California. Founded in 2024, Straiker gives security teams visibility and control across the AI agent lifecycle. Its Attack to Defend approach connects discovery, adversarial testing, runtime protection, and containment, helping teams find their agents, expose weaknesses, stop attacks, and take control when needed. Straiker raised a $64 million Series A in June 2026, bringing total funding to $85 million, and works with Fortune 500 enterprises and frontier AI labs to secure internally built and third-party AI agents.

CORE FOCUS

Straiker secures AI agents across the enterprise, including coding agents such as Claude Code, GitHub Copilot, Cursor, and OpenAI Codex; productivity agents such as ChatGPT Enterprise, Microsoft Copilot, Claude, and Gemini; and custom agents built with AWS Bedrock AgentCore, Microsoft AI Foundry, Salesforce Agentforce, Databricks Mosaic AI, and Snowflake Cortex. Straiker also secures MCP servers, Skills, tools, and other agentic applications.

Straiker provides security across this agentic attack surface through:

AI agent discovery and inventory: Find agents, MCP servers, Skills, tools, models, and integrations.
AI security posture management: Identify risky permissions, connections, misconfigurations, and vulnerable MCP servers.
AI agent red teaming: Test for prompt injection, data exfiltration, tool misuse, agent manipulation, and other attack paths.
Runtime AI security: Monitor and block malicious or unauthorized agent behavior in real time.
Agent containment: Isolate, suspend, restrict, or shut down compromised or misbehaving agents.

PRODUCTS & TOOLS

Discover AI — AI Agent Discovery and Security Posture Management

Discover AI provides visibility into an organization’s AI agent estate. It discovers and inventories AI agents, coding agents, MCP servers, Skills, tools, models, and integrations, then continuously evaluates how those systems are configured and what they can access.

AI agent discovery and inventory
AI-SPM and Agent-SPM
MCP server and Skills discovery
Risky permission and connection detection
Agent configuration and security findings
AI agent observability
Governance and audit visibility

Ascend AI — AI Agent Security Testing and Red Teaming

Ascend AI continuously tests AI agents and AI applications using autonomous adversarial testing. It simulates real-world attacks to identify exploitable vulnerabilities before they lead to production impact.

Autonomous AI red teaming
Agentic adversarial testing
Prompt injection testing
Data leakage and data exfiltration testing
MCP and tool misuse testing
Multi-step and agentic attack testing
Continuous, scheduled, and on-demand assessments
CI/CD security testing
Findings mapped to frameworks including OWASP, MITRE ATLAS, NIST AI RMF, and the EU AI Act

Defend AI — AI Agent Runtime Security

Defend AI provides runtime security and guardrails for coding agents, productivity agents, and custom-built AI agents. It monitors agent interactions, reasoning steps, tool calls, and agent-to-agent activity to detect and stop threats as they occur.

Direct and indirect prompt injection protection
Data exfiltration prevention
Coding agent security
MCP and tool security
Multimodal threat detection
AI agent observability and forensics
Runtime policy enforcement
Agentic chain-of-threat visibility
Real-time detection and blocking

Defend AI is designed to protect AI agents without relying solely on static rules or traditional application security controls.

Agentic Kill Switch — AI Agent Containment and Shutdown

Straiker’s Agentic Kill Switch gives security teams a human-controlled way to contain an AI agent when blocking individual actions is no longer enough. Security teams can: