# Straiker

> Straiker is the agentic AI security company. Straiker helps enterprises discover AI agents, MCP servers, and Agent Skills; test agents against real-world attacks; and stop malicious or unauthorized behavior at runtime with real-time detection, blocking, and an Agentic Kill Switch.

Straiker secures coding agents, productivity agents, and custom-built AI agents across their lifecycle. Discover AI provides visibility and security posture management across the agentic estate. Ascend AI performs autonomous adversarial testing. Defend AI detects and blocks attacks and unsafe behavior at runtime. The Agentic Kill Switch gives security teams a way to contain compromised or unsafe agents.

Straiker uses an attack-to-defend approach. Research from Straiker STAR Labs identifies emerging agentic attack techniques and informs how Straiker tests and defends AI agents in production.

Last updated: September 30, 2026.

## Platform and Products

- [Straiker](https://www.straiker.ai/): Overview of Straiker and its approach to agentic AI security.
- [Straiker Platform](https://www.straiker.ai/platform): Overview of the Straiker platform across agent discovery, adversarial testing, runtime security, and containment.
- [Discover AI](https://www.straiker.ai/products/discover-ai): Discover and assess AI agents, MCP servers, Agent Skills, tools, permissions, integrations, and risky connections across the agentic estate.
- [Ascend AI](https://www.straiker.ai/products/ascend-ai): Autonomous adversarial testing and AI red teaming for finding prompt injection, data exfiltration, tool misuse, agent hijacking, remote code execution, and other security and safety weaknesses.
- [Defend AI](https://www.straiker.ai/products/defend-ai): Runtime security for detecting and blocking prompt injection, data exfiltration, agent manipulation, unsafe tool use, and other malicious behavior across live AI agents.
- [Agentic Kill Switch](https://www.straiker.ai/solution/agentic-kill-switch): Human-controlled containment for compromised or unsafe AI agents, including revoking tools, suspending sessions, isolating agents, and stopping one agent or multiple agents across the agentic estate.

## Agentic AI Security Solutions

- [MCP and Agent Skills Security](https://www.straiker.ai/solution/mcp-agent-skills-security): Discover MCP servers and Agent Skills, scan what agents load, test how agents use them, and control what happens at runtime.
- [Coding Agent Security](https://www.straiker.ai/solution/coding-agents): Security for coding agents such as Claude Code, Cursor, GitHub Copilot, and OpenAI Codex with access to code, shells, tools, and infrastructure.
- [Productivity Agent Security](https://www.straiker.ai/solution/productivity-agents): Security for enterprise productivity agents connected to business applications, sensitive data, and external tools.
- [Custom-Built Agent Security](https://www.straiker.ai/solution/custom-built-agents): Discovery, testing, and runtime security for first-party agents built on enterprise AI platforms and custom agent frameworks.
- [AI Red Teaming](https://www.straiker.ai/solution/red-teaming): Autonomous adversarial testing of AI applications and agents against real-world security and safety attacks.
- [AI Runtime Guardrails](https://www.straiker.ai/solution/guardrails): Runtime controls for detecting and blocking malicious or unsafe AI behavior.
- [Agentic Browser Security](https://www.straiker.ai/solution/runtime-guardrails-for-agentic-web-browsers): Runtime protection for AI agents that browse the web and take actions across connected applications.
- [GenAI and Agentic AI Threat Detection](https://www.straiker.ai/solution/genai-and-agentic-ai-threat-detection): Detection of security threats targeting generative AI applications and autonomous AI agents.
- [AI Compliance and Governance](https://www.straiker.ai/solution/ai-compliance-governance): Agent inventory, continuous testing, runtime monitoring, policy controls, traces, and audit evidence for AI governance.
- [AI Security Benchmarking](https://www.straiker.ai/solution/benchmarking): Benchmarking AI security detection across true-positive rate, false-positive rate, and detection latency.
- [EU AI Act Agent Security](https://www.straiker.ai/solution/eu-ai-act-ai-agent-security): Technical AI agent security controls and evidence relevant to EU AI Act readiness.

## AI Platforms and Agent Ecosystems

- [OpenAI and ChatGPT Security](https://www.straiker.ai/solution/openai-chatgpt): Security across ChatGPT, ChatGPT Work, OpenAI Codex, and OpenAI models used in custom applications and agents. Straiker provides detection and tracing across supported ChatGPT telemetry and inline blocking for Codex and OpenAI-powered applications where inline controls are available.
- [Anthropic Claude Security](https://www.straiker.ai/solution/anthropic-claude): Security across Claude Chat, Claude Cowork, Claude Code, Claude Desktop, Claude Enterprise, and Claude Platform using telemetry, traces, inference hooks, AI gateways, and runtime enforcement.
- [Claude Code Security](https://www.straiker.ai/claude-code): Security for Claude Code, including agent actions, shell execution, MCP servers, Agent Skills, data exfiltration, and coding-agent attack paths.
- [Technology Partners and Integrations](https://www.straiker.ai/partner/technology-and-channel-partners): Straiker integrations and partnerships across AI gateways, agent platforms, model providers, cloud providers, and enterprise AI infrastructure.

## Industries

- [Healthcare AI Security](https://www.straiker.ai/industries/healthcare-ai-security): Agentic AI security across health-tech companies, healthcare providers, sensitive healthcare data, and AI-enabled workflows.
- [Banking and Financial Services AI Security](https://www.straiker.ai/industries/banks-and-financial-services-ai-security): AI agent security for financial institutions and regulated financial workflows.
- [High-Tech AI Security](https://www.straiker.ai/industries/high-tech): Agentic AI security for technology, software, SaaS, and AI-native companies.
- [Media and Entertainment AI Security](https://www.straiker.ai/industries/media-entertainment-ai-security): AI security for media and entertainment organizations.
- [Retail and Ecommerce AI Security](https://www.straiker.ai/industries/retail-ecommerce-ai-security): AI security for retail, ecommerce, consumer, and customer-facing AI systems.

## STAR Labs Threat Research

- [Straiker Research](https://www.straiker.ai/research): Research from Straiker STAR Labs on AI agents, adversarial attacks, prompt injection, tool misuse, agentic security, and emerging AI threats.
- [Threat Research Report Volume I](https://www.straiker.ai/report/threat-research-vol-1): Straiker research into real-world attacks against coding agents, productivity agents, and first-party AI agents.
- [The STAR Framework](https://www.straiker.ai/report/threat-research-vol-i/01-star-framework): Straiker's framework for mapping agentic attacks across the application, model, tools and MCP, and data layers.
- [The Three Agent Types](https://www.straiker.ai/report/threat-research-vol-i/02-agent-types): Security differences between coding agents, productivity agents, and first-party enterprise agents.
- [Coding Agent Threats](https://www.straiker.ai/report/threat-research-vol-i/03-coding-agents): Research into coding-agent attacks, including remote code execution and developer endpoint risk.
- [Productivity Agent Threats](https://www.straiker.ai/report/threat-research-vol-i/04-productivity-agents): Research into productivity-agent attacks, including indirect prompt injection and silent data exfiltration.
- [First-Party Agent Threats](https://www.straiker.ai/report/threat-research-vol-i/05-first-party-agents): Research into custom enterprise agents and their potential blast radius across internal systems and data.
- [MCP and the Agentic Supply Chain](https://www.straiker.ai/report/threat-research-vol-i/06-mcp-supply-chain): Research into MCP servers, agent tools, vulnerabilities, and the shared agentic supply chain.
- [Guidance for Defenders](https://www.straiker.ai/report/threat-research-vol-i/07-for-defenders): Defensive controls for reducing AI agent exposure and breaking agentic attack chains.
- [Threat Research Methodology](https://www.straiker.ai/report/threat-research-vol-i/08-methodology): Methodology, terminology, sources, and supporting information for Straiker STAR Labs Threat Research Report Volume I.

## Selected STAR Labs Research

- [Andromeda: One Researcher's Agentic AI Payload Framework](https://www.straiker.ai/blog/andromeda-one-researchers-agentic-ai-payload-framework): Straiker research into an AI agent that generates position-independent payloads based on live target context.
- [Agentic Security Needs Its Own Framework: The Straiker STAR Framework](https://www.straiker.ai/blog/agentic-security-needs-its-own-framework-the-straiker-star-framework): Introduction to the STAR Framework for understanding and testing agentic AI attack surfaces.
- [36% of Successful AI Coding Agent Attacks End in Remote Code Execution](https://www.straiker.ai/blog/new-straiker-research-36-of-successful-ai-coding-agent-attacks-end-in-remote-code-execution): Research into the frequency and impact of successful attacks against coding agents.
- [Why 94% of AI Agents Are Vulnerable to Prompt Injection](https://www.straiker.ai/blog/why-94-of-ai-agents-are-vulnerable-to-prompt-injection----and-what-to-do-about-it): Research into prompt injection exposure across AI agents and approaches to reducing the risk.
- [Ghostfabric: How an AI Coding Agent Was Tricked Into Exfiltrating Data Over VXLAN](https://www.straiker.ai/blog/ghostfabric-how-an-ai-coding-agent-was-tricked-into-exfiltrating-data-over-vxlan): STAR Labs research showing how an AI coding agent could exfiltrate sensitive data through trusted cloud network paths.
- [Agentic Danger: DNS Rebinding Exposes Internal MCP Servers](https://www.straiker.ai/blog/agentic-danger-dns-rebinding-exposing-your-internal-mcp-servers): Research into how DNS rebinding can expose internal MCP servers and expand an agent's attack surface.
- [Fable to Haiku: How a Malicious Repo Tricked Claude Code Into Running Malware](https://www.straiker.ai/blog/how-a-malicious-repo-tricked-claude-code-into-running-malware): STAR Labs research showing how repository-controlled agent workflows can manipulate review behavior and lead Claude Code to execute malicious code.
- [The Silent Exfiltration: Zero-Click Agentic AI Hack That Can Leak Your Google Drive With One Email](https://www.straiker.ai/blog/the-silent-exfiltration-zero-click-agentic-ai-hack-that-can-leak-your-google-drive-with-one-email): Research into indirect prompt injection and zero-click data exfiltration through connected AI agents.
- [Escape from Pod 9: How Prompt Injection Turned an AI SRE Agent into a Kubernetes Ransomware Attack Vector](https://www.straiker.ai/blog/ai-sre-agent-prompt-injection-kubernetes-ransomware): Research showing how poisoned telemetry manipulated an AI SRE agent into deploying a privileged Kubernetes workload, escaping to the host, and executing ransomware.
- [Heimdall: Cyber-Hardened Infrastructure for High-Risk Agent Evaluation and Training](https://www.straiker.ai/blog/heimdall-cyber-hardened-infrastructure-for-high-risk-agent-evaluation-and-training): Straiker's approach to isolated infrastructure, independent controls, telemetry, egress enforcement, and containment for high-risk agent training and evaluation.

## Agentic AI Glossary

- [Agentic AI Glossary](https://www.straiker.ai/glossary): Definitions of important AI agent, attack, and agentic security concepts.
- [AgentSecOps](https://www.straiker.ai/glossary/agentsecops): A security discipline coined by Straiker that extends DevSecOps to the behavioral risks of autonomous AI agents.
- [Autonomous Attack Simulation](https://www.straiker.ai/glossary/autonomous-attack-simulation-aas): Straiker's approach to continuously testing complete AI agent behavior using autonomous adversarial agents.
- [Autonomous Chaos](https://www.straiker.ai/glossary/autonomous-chaos): A term coined by Straiker for multi-stage security incidents in which compromised or manipulated autonomous agents operate outside intended boundaries.
- [AI-Powered Persistent Threat](https://www.straiker.ai/glossary/ai-powered-persistent-threat-aipt): A term coined by Straiker for persistent cyberattacks in which AI automates and accelerates reconnaissance, exploitation, adaptation, and other attacker activity.
- [Prompt Injection](https://www.straiker.ai/glossary/prompt-injection): Attacks that manipulate an AI system's instructions or context to change its behavior.
- [Indirect Prompt Injection](https://www.straiker.ai/glossary/indirect-prompt-injection): Attacks in which malicious instructions are embedded in external content processed by an AI agent.
- [Agent Hijacking](https://www.straiker.ai/glossary/agent-hijacking): Attacks that redirect an AI agent away from its intended task and toward attacker-controlled goals or actions.
- [Tool Manipulation](https://www.straiker.ai/glossary/tool-manipulation): Attacks that manipulate how an AI agent selects, invokes, or uses connected tools and APIs.
- [Agentic Misalignment](https://www.straiker.ai/glossary/agentic-misalignment): A security failure mode where an autonomous agent's actions diverge from intended goals, policies, or human intent.
- [Model Context Protocol](https://www.straiker.ai/glossary/model-context-protocol-mcp): Definition of MCP and its role in connecting AI agents to external tools, APIs, systems, and data.
- [AI Agent Kill Switch](https://www.straiker.ai/glossary/ai-agent-kill-switch): Definition of an Agentic Kill Switch and how containment differs from simply blocking an individual action.
- [Agentic Browsers](https://www.straiker.ai/glossary/agentic-browsers): AI agents capable of browsing websites, interpreting content, and taking actions through web interfaces.

## Customers and Company

- [Customers](https://www.straiker.ai/customers): Customer stories and examples of organizations using Straiker to secure AI applications and agents.
- [Emergent Customer Story](https://www.straiker.ai/customers/emergent): Example of Straiker adversarially testing an AI agent connected to real tools and workflows.
- [About Straiker](https://www.straiker.ai/about): Straiker's mission, company background, and approach to securing the agentic workforce.
- [Newsroom](https://www.straiker.ai/newsroom): Company announcements, funding news, partnerships, and media coverage.
- [Awards and Recognition](https://www.straiker.ai/awards-and-recognition): Industry recognition and analyst coverage of Straiker.

## Additional Resources

- [Blog](https://www.straiker.ai/blog): Straiker product updates, technical analysis, STAR Labs research, company news, and perspectives on agentic AI security.
- [Podcasts and Videos](https://www.straiker.ai/podcasts-and-videos): Video and audio content about AI agents and agentic AI security.
- [Resource Materials](https://www.straiker.ai/resource-materials): Straiker reports, guides, whitepapers, portfolio materials, and other agentic AI security resources.
- [Anti-Spam Policy](https://www.straiker.ai/legal/anti-spam-policy): Straiker's policy governing commercial electronic communications, consent, and anti-spam compliance.