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SECURITY FOR AI

SANDS Lab’s Security for AI covers both the secure use of generative AI and the verification of AI-generated or manipulated content. GLX detects and controls risks in real time across user inputs and AI responses, while FAKECHECK analyzes suspected deepfakes and provides supporting evidence for each result.

Expanded scope

From securing generative AI use to verifying AI-generated content.

Security for AI isn't about protecting a single model. GLX evaluates generative AI inputs and outputs while protecting sensitive data in real time. FAKECHECK analyzes AI-generated and manipulated content and provides supporting evidence for each result.

S1
Prompt Guard

Detects prompt injection, jailbreak attempts, and unsafe requests.

S2
Data Guard

Prevents sensitive personal and corporate data from leaking through prompts and responses.

S3
Response Guard

Filters harmful, unsafe, or policy-violating responses in real time.

S4
Deepfake Detection

Detects face swaps, AI-generated content, and manipulations designed to evade detection.

S5
Explainable Analysis

Provides visual evidence and natural-language explanations.

WHY NOW — NEW RISKS IN THE AI ERA

As AI adoption grows, so does the security boundary you need to protect.

Generative AI introduces risks across prompts, data, and outputs, including prompt attacks and data leakage. AI-generated content brings additional risks, including deepfakes and manipulations designed to evade detection. Security must extend beyond the model to how AI is used and what it produces.
  • R1Prompt Attacks
  • R2Sensitive Data Exposure
  • R3Harmful Outputs
  • R4Deepfakes
  • R5Evasion

Security for AI — how can it fit into your environment?

From securing generative AI to verifying deepfakes, we’ll connect you directly with the right SANDS Lab team for your deployment goals.

FOR GENERATIVE AI TEAMS

GLX Adoption · PoC

We’ll review the protection coverage across your generative AI service’s inputs and responses, along with integration options and your deployment and operating environment.

FOR CONTENT TRUST TEAMS

FAKECHECK Adoption · PoC

We’ll review the scope of deepfake analysis for images and video, along with service integration options and your intended use environment.