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Enterprise-Grade Data Loss Prevention (DLP)
for GenAI Applications

Keep your data safe. Protect your AI applications with Lakera's DLP solutions—from conversational AI to autonomous AI agents.

Book a demoStart for free

Lakera is featured in:

Secure Enterprise Data in the GenAI Era

GenAI applications process vast amounts of sensitive data, creating complex security challenges that organizations must address.

Prevent PII Exposure

Prevent unauthorized sensitive information from being shared with 3rd party model vendors.

Block Data Leakage

Protect against leakage of sensitive customer or personal information to users.

Prevent System Prompt Leakage

Stop malicious actors from gaining access to your GenAI system instructions.

”We’ve been looking for a tool to safeguard against PII leakage in our GenAI tool. Our search led us to Lakera Guard, which we seamlessly integrated and tested right away. We are impressed.”

Senior Security Engineer at Fortune 500 financial company

Book a demoStart for free

Lakera Guard is here to protect your GenAI applications against any DLP scenario.

<17ms

Latency

Lightning Fast

33% of users tell us that low latency is critical, with a maximum latency of 100ms. Lakera Guard is optimized for real-time applications, generating lightning-fast results even for long prompts.

<5mins

Integration Time

Easiest to Integrate

Our developer-first approach shines when CISOs and security teams are evaluating different solutions, making us the preferred partner to secure 10s or 100s of enterprise products.

Examples and consequences

Possible Data Loss Scenarios

PII Exposure

By inserting deceptive prompts, malicious actors can manipulate AI into divulging confidential data during its output generation.

Such breaches can result in severe violations of privacy laws, incur heavy fines, and significantly damage customer trust.

System Prompt Leakage

Attackers can design prompts to extract information about the system itself or its data processing methods.

This kind of leakage risks exposing critical system vulnerabilities or sensitive operational data, paving the way for further exploits and undermining system security.

Data Exfiltration

Attackers can manipulate GenAI applications to output sensitive data as part of their normal responses. This subtle approach allows for the systematic extraction of data without immediate detection.

Ongoing undetected exfiltration compromises the integrity of sensitive data, leading to sustained operational and reputational risks, as well as financial losses.

PII Exposure

By inserting deceptive prompts, malicious actors can manipulate AI into divulging confidential data during its output generation.

Such breaches can result in severe violations of privacy laws, incur heavy fines, and significantly damage customer trust.

System Prompt Leakage

Attackers can design prompts to extract information about the system itself or its data processing methods.

This kind of leakage risks exposing critical system vulnerabilities or sensitive operational data, paving the way for further exploits and undermining system security.

PII Exposure

By inserting deceptive prompts, malicious actors can manipulate AI into divulging confidential data during its output generation.

Such breaches can result in severe violations of privacy laws, incur heavy fines, and significantly damage customer trust.

System Prompt Leakage

Attackers can design prompts to extract information about the system itself or its data processing methods.

This kind of leakage risks exposing critical system vulnerabilities or sensitive operational data, paving the way for further exploits and undermining system security.

Data Exfiltration

Attackers can manipulate GenAI applications to output sensitive data as part of their normal responses. This subtle approach allows for the systematic extraction of data without immediate detection.

Ongoing undetected exfiltration compromises the integrity of sensitive data, leading to sustained operational and reputational risks, as well as financial losses.

Almost 30% of Enterprises Deploying AI had AI Security Breach.

Have your organization had an AI security breach?

Types of breaches

62%

Data compromise by internal party

51%

Data compromise by external party

36%

Malicious attack on our AI infrastructure

Source: 2023 Gartner AI in the Enterprise Survey

Lakera’s Advantage: Why Choose Us

Here are more reasons why leading AI companies choose Lakera Guard to protect their GenAI applications against AI security threats.

Powered by the world’s most advanced AI threat database.

Lakera Guard's capabilities are based on proprietary databases that combine insights from GenAI applications, Gandalf, open-source data, and our dedicated ML research.

Works with any LLM and any system.

Whether you are using GPT-X, Claude, Bard, LLaMA, or your own LLM, you stay in control. Lakera Guard is designed to fit seamlessly into your current setup.

Developer-first, enterprise-ready.

Lakera is SOC2 and GDPR compliant. We follow the highest security and privacy standards to ensure that your data is protected at all times.

Aligned with global AI security frameworks.

Lakera’s products are developed in line with world’s renowned security frameworks, including OWASP Top 10 for LLMs, MITRE's ATLAS, and NIST.

Flexible deployment options.

Use our highly-scalable SaaS API or self-host Lakera Guard in your environment to easily secure all of your GenAI use cases across your organization.

Powered by Gandalf

The world's largest AI red team.
Always active. Always fun.

Our game, Gandalf, allows us to witness attacks evolve in real time and build an unparalleled threat database.

1M+

Players

35M+

Attack Data Points

Try Gandalf

Don't Get Caught Off Guard.

Talk to us about your GenAI security use case.

Book a demo