ML-DLP

Secure Your Assets with Next-Gen Data Loss Prevention

Traditional DLP solutions stumble in the fast-paced world of AI. Accidental or deliberate data leaks through use of 3rd party GenAI and LLM services can go unnoticed.

Our ML-DLP solution gives customers the confidence to use AI securely, providing end-to-end visibility and control over LLMs and GenAI interactions within your company to prevent data leaks, minimizing business and reputational risk.

Unlock the full potential of LLMs and GenAI – safely and securely.

ML-DLP Product Screenshot 1

Security for AI That Fits Your Workflow.

Prevent data leaks with confidence. Developer-friendly tools, frictionless integration.

  • Potential Risk Visibility

  • Data Leak Prevention

  • Reduce Compliance Overhead

Uncover Hidden Risk

Sensitive information flows through intricate pathways, invisible to conventional tools. Navigate the complex world of machine learning model security easily with ML-DLP. It lifts the veil with granular insights into how your models handle sensitive data. It shines a light on data flows, highlighting potential vulnerabilities. Imagine looking inside of your models, identifying where sensitive information resides and how it's transformed. This newfound understanding empowers you to identify and mitigate risks before they materialise, ensuring your ML initiatives operate with transparency and utmost data security.

Prevent Data Leaks

Traditional data loss prevention (DLP) solutions struggle to keep up with the dynamic nature of AI, GenAI, and LLMs. Sensitive data can be inadvertently encoded within ML, leaked accidentally through their outputs, as well as exploited by attackers. ML-DLP takes a proactive approach to identify and neutralize data leakage risks at every stage of the ML lifecycle. This includes detecting sensitive information within training data, monitoring model behavior during training and inference, and preventing the leakage of sensitive data. By employing various techniques, ML-DLP ensures that your valuable data remains protected throughout the entire ML process, mitigating the risk of costly breaches and reputational damage.

Reduce Compliance Overhead

As data privacy regulations tighten their grip, compliance transforms from checkbox ticking to a complex, ever-evolving process. Drowning in paperwork and manual assessments simply won't cut it anymore. This is where Machine Learning-powered Data Loss Prevention (ML-DLP) emerges. By automating the tedious task of assessing your systems to comply with regulations, ML-DLP injects much-needed efficiency into the process. No longer a guesswork, compliance becomes transparent and quantifiable, allowing you to focus your resources on real threats and innovations, not regulatory paperwork purgatory.

AI Secured.

Powering Your Journey: Our Tech Stack for your AI Security

Leveraging the latest advancements, our infrastructure empowers you to stay ahead of the curve.

Mindgard in the news

  • Mindgard’s Dr Peter Garraghan in Tech.eu / September 2023

    “We are defining and driving the security for AI space, and believe that Mindgard will quickly become a must-have for any enterprise with AI assets”

    Read full article at tech.EU
  • Mindgard’s Dr Peter Garraghan in TechTimes.com / October 2023

    “While LLM technology is potentially transformative, businesses and scientists alike will have to think very carefully on measuring the cyber risks associated with adopting and deploying LLMs”

    Read full article at Techtimes.com
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