How does Straiker protect coding agents like Cursor or GitHub Copilot?

Straiker provides runtime security by detecting and blocking destructive actions like unauthorized file deletions or config changes, and prevents data exfiltration of proprietary code and secrets.

What is semantic detection and why is it better than pattern-based security?

Pattern-based security looks for known bad strings, which attackers can easily bypass. Semantic detection evaluates the intent of an instruction, allowing Straiker to stop complex multi-step attacks and hidden commands.

Does Straiker support multimodal inputs?

Yes, Straiker provides unified policy coverage and threat detection across text, code, images, audio, and file uploads like PDFs.

What is MCP security?

Model Context Protocol (MCP) servers allow agents to access tools and data. Straiker uses a purpose-built MCP Threat Database to identify malicious or poisoned tool connections in real time.

How is Straiker deployed?

It offers frictionless deployment via a single hook-based integration (API, SDK, or webhook) without requiring thick clients, proxies, or firewalls.

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AI Security

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Straiker

Agentic AI security platform offering 98.1% detection accuracy. It protects AI agents from prompt injection, data exfiltration, and malicious MCP connections with real-time runtime monitoring.

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Rating

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3 months ago

Listed

AI security

LLM Security

Agentic AI

Cybersecurity

Threat Detection

Prompt Injection Defense

Data Loss Prevention

MCP Security

Red Teaming

Observability

Tool information

Provider

Straiker AI

Platforms

Web

AWS Marketplace

API

SDK

Languages

English

API Available

Yes

Added to directory

3 months ago

Last updated

about 1 month ago

Rating

Not available

Pricing

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About Straiker

What the tool does and who it's for

Straiker is an enterprise-grade security platform purpose-built for the agentic AI era. It provides a comprehensive defense-in-depth layer for AI agents, including autonomous coding assistants (like Cursor and GitHub Copilot), productivity agents, and custom-built multi-agent workflows. The platform utilizes semantic detection to identify complex, multi-turn attacks such as the 'Crescendo' jailbreak and workflow hijacking that traditional pattern-based tools miss. With a focus on runtime security, Straiker protects against prompt injection, data exfiltration, and malicious MCP (Model Context Protocol) connections, achieving 98.1% threat detection accuracy with sub-300ms latency. Its suite includes 'Discover AI' for posture management, 'Ascend AI' for autonomous red teaming, and 'Defend AI' for real-time protection and observability.

Key capabilities

Runtime Security: Real-time detection and blocking of direct and indirect prompt injections across agent workflows.

98.1% Detection Accuracy: High-precision semantic detection with 6-21x lower false positive rates than frontier models.

MCP Threat Database: Real-time identification of malicious or vulnerable Model Context Protocol (MCP) servers and tool connections.

Data Exfiltration Prevention: Monitors for PII, secrets, and proprietary code extraction across text, code, images, and audio.

Ascend AI Red Teaming: Autonomous adversarial testing that simulates hundreds of threat categories to expose vulnerabilities.

Sub-300ms Latency: A compact, optimized inference engine that secures interactions without impacting the user experience.

Agent Observability: Traces every interaction across user, model, and tool chain for root-cause analysis and forensics.

Multimodal Support: Consistent protection across text, PDF, image, audio, and visual inputs.

Pricing

Contact — plans below

Enterprise

Premium Enterprise

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All Enterprise features
24/7 Emergency response
Quarterly security review calls
Phone support
Custom deployment options

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