
Knostic

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About
Knostic is a pioneering AI tool designed to prevent data leakage and oversharing within enterprise AI search environments. It offers need-to-know based access controls for LLM-based systems like Copilot, Glean, and Gemini. Knostic helps organizations accelerate AI adoption securely by identifying, mapping, and remediating data exposures. Its capabilities include auditing information for leaks, mapping knowledge boundaries to limit access, and recommending permission adjustments. Knostic provides an impartial solution to ensure proprietary information remains under control, offering readiness assessments to detect potential oversharing before large-scale AI deployment. This ensures safe, secure enterprise AI deployment at scale without compromising value, security, or safety.
Platform
Features
• delivers customized llm answers based on user access levels
• enables accelerated and secure llm adoption
• offers readiness assessments for copilot and other llm tools
• provides need-to-know based access controls for enterprise ai
• recommends permission adjustments to secure data
• maps knowledge boundaries for llm access
• monitors data exposures across information systems
• locates and remediates data leaks from ai search
Job Opportunities
Senior Full-Stack Engineer
Knostic is an AI tool that prevents data leakage and oversharing from LLM-based enterprise AI search by implementing need-to-know access controls.
Education Requirements:
BSc in Computer Science or equivalent
Experience Requirements:
7+ years of experience in software development
5+ years of experience with Node.js
Expert knowledge of Python capabilities and limitations
Understanding of front-end concepts and technology (React, TypeScript)
Experience with relational databases (such as PostgreSQL)
Other Requirements:
Excellent communication skills
Organized and self-driven
Familiarity with Agile development methodologies
Ability to work in high-paced and dynamic start-up environments
An all-star team player with a “can do” attitude
Responsibilities:
Design and build our scalable enterprise-grade control plane using industry best practices focusing on quality, performance, and delivery.
Write well-crafted, tested, readable, and maintainable code.
Participate in code design, code review, and distribution knowledge.
Develop distribution and deployment tools for different platforms.
Collaborate with data-scientists, product managers and other team members to ensure high-quality and timely deliverables.
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VP Product
Knostic is an AI tool that prevents data leakage and oversharing from LLM-based enterprise AI search by implementing need-to-know access controls.
Experience Requirements:
Proven experience building enterprise products and delivering solutions to large organizations.
Experience in cybersecurity is highly preferred.
Hands-on leadership
Startup-savvy
Strategic mindset
Other Requirements:
Based in Israel with the flexibility to work across time zones.
Excellent collaboration skills with experience working closely with founders, engineers, and stakeholders.
A doer who can roll up their sleeves and execute on product strategy.
Comfortable navigating uncertainty, leading cross-functional teams, and switching contexts efficiently.
Able to think big while staying tactical to achieve immediate results.
Responsibilities:
Collaborate with founders and engineers to shape the product vision and roadmap.
Build enterprise-grade solutions, ensuring the product meets the needs of large, complex organizations.
Own the product lifecycle, from early development to market release and scale.
Lead efforts to align product development with customer needs, focusing on cybersecurity and AI.
Design and implement a strategic roadmap with both short-term wins and long-term goals.
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Data Scientist
Knostic is an AI tool that prevents data leakage and oversharing from LLM-based enterprise AI search by implementing need-to-know access controls.
Education Requirements:
At least a B.Sc. in Computer Science, Data Science, Engineering, or a related field
Experience Requirements:
3+ years of hands-on experience in data science or applied ML
Strong Python skills and experience with ML/NLP libraries (e.g., pandas, scikit-learn, Hugging Face, PyTorch)
Solid understanding of NLP tasks, especially document-level classification and reasoning
Experience working with production-level data and noisy datasets
Other Requirements:
Comfortable working in a fast-paced, early-stage startup environment
Bonus: experience with sensitive data detection, document parsing, or vector databases
Responsibilities:
Develop and refine various types of models for extracting and interpreting information.
Work with a range of data formats to uncover meaningful insights.
Utilize modern machine learning techniques and representations for data understanding.
Continuously test and enhance approaches to improve practical outcomes.
Partner with different teams to integrate intelligent systems into workflows.
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