Knostic

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About
Knostic is a specialized security platform designed to address the unique risks associated with autonomous AI agents and large language models (LLMs) in corporate environments. It serves as the world's first provider of need-to-know based access controls specifically for enterprise AI. By focusing on the agentic lifecycle, the platform monitors AI coding tools, IDE extensions, and Model Context Protocol (MCP) servers to ensure that AI interactions do not compromise sensitive corporate data or system integrity. The platform operates by providing comprehensive visibility and control across data, users, and AI tools. It functions as a security layer that detects shadow AI—unauthorized or unmonitored AI tools—and enforces policies to prevent data exfiltration. Key technical capabilities include the ability to block destructive shell commands, such as rm -rf, which an agent might mistakenly execute. It also manages the supply chain of AI extensions and rules, offering a reputation service to evaluate the safety of third-party AI components before they are integrated into the developer workflow. Knostic is primarily built for security leadership, including CISOs and CIOs, as well as specialized teams in governance, compliance, and IT. It is particularly relevant for industries with high regulatory hurdles like finance, healthcare, and pharmaceuticals. Beyond high-level oversight, it provides tactical tools for Red Teams and penetration testers to simulate attacks and for IAM managers to refine permissions in an AI-heavy ecosystem. What sets Knostic apart is its focus on the knowledge-centric aspect of AI security. While traditional security tools focus on network or endpoint protection, Knostic tackles inference risks and the specific problem of LLM overexposure. Their leadership team includes creators of industry-standard frameworks like the Cyber Defense Matrix, ensuring that the tool aligns with modern cybersecurity paradigms. Additionally, they provide open-source tools under the OpenClaw banner, demonstrating a commitment to securing the broader agentic ecosystem.
Pros & Cons
Prevents destructive commands like rm -rf from being executed by AI agents.
Provides unique need-to-know access control specifically for LLM environments.
Supports emerging standards like MCP servers and IDE extensions.
Offers free open-source security tools on GitHub for the community.
Founded by recognized industry experts behind the Cyber Defense Matrix.
Pricing is not transparently listed and requires direct contact.
Full platform access requires scheduling a formal demonstration.
Focused exclusively on enterprise-level needs rather than individual developers.
Use Cases
Security teams can discover and inventory unauthorized shadow AI tools like Cursor or Claude extensions being used by developers.
IAM managers can implement need-to-know access controls to prevent LLMs from oversharing sensitive internal data with unauthorized users.
Red teams and pen testers can use the platform's simulators to test prompt injection defenses and AI jailbreak scenarios.
DevOps engineers can protect their infrastructure by blocking AI coding agents from executing dangerous terminal commands accidentally.
Platform
Task
Features
• shadow ai detection
• reputation service
• security posture management
• supply chain inventory
• destructive command blocking
• mcp server monitoring
• access control for llms
• agent discovery
FAQs
What is the OpenClaw initiative?
Knostic provides open-source tools like openclaw-shield and openclaw-detect to help organizations secure agents from secret leaks and destructive shell commands.
How does Knostic handle shadow AI?
The platform identifies unauthorized AI coding tools, IDE extensions, and MCP servers to give security teams full visibility into the unmanaged agentic attack surface.
What industries is this tool designed for?
Knostic offers tailored security solutions for highly regulated sectors including energy, finance, healthcare, pharmaceuticals, and government.
Can it prevent data oversharing in Microsoft 365?
Yes, Knostic provides specific solutions to identify and mitigate oversharing and inference risks associated with Microsoft Copilot and Purview.
Pricing Plans
Enterprise
Unknown Price• Agent discovery (Cursor, Claude, etc.)
• Need-to-know access controls
• Shadow AI detection
• Security Posture Management
• Reputation service
• Supply chain inventory
• Destructive command blocking
• MCP server monitoring
Job Opportunities
Senior Security Researcher
Secure AI coding agents and LLMs with need-to-know access controls to prevent data oversharing, destructive commands, and unauthorized shadow AI in the enterprise.
Experience Requirements:
2+ years of experience in malware analysis
4+ years of experience in security research, including SaaS, web, API or related domains
Strong coding and analytical skills in scripting and programming languages such as Python, JavaScript, and Bash
Proficiency with SQL-like queries
Familiarity with AI-powered tools such as Cursor, Windsurf, Claude Code, OpenAI Codex
Responsibilities:
Research security risks in AI agents, MCP servers, and LLM-based systems
Design sophisticated detection strategies
Conduct research on AI-augmented products, coding platforms, AI-IDEs, web, and API security
Design and execute structured research methodologies to identify, reproduce, and validate vulnerabilities
Collaborate with engineering and product teams to deliver actionable insights and translate research into detections
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Ratings & Reviews
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