Advanced, Context-Aware Data Loss Prevention (DLP)
Protect your most sensitive data with real-time, intelligent leak prevention. Detect and sanitize confidential information before it leaves your environment. No more regex blind spots, just deep contextual inspection with high fidelity data classification.
Context-Aware AI at its core
AI that isn't limited by rules. At the core of Wald Context Intelligence™ Engine, data privacy is simple yet effortless.
Precision
Classify all categories of sensitive data with superior accuracy with the lowest false positive and false negative rates.
Transparency
Keep complete control of your data logs. One dashboard for all with encrypted keys in your hands.
Speed
Runtime enforcement with a smooth user user experience. It quickly understands intent and sanitizes user inputs in real time.
Data drives enterprise value, yet it remains the most challenging asset to secure.
Data is Omnipresent
Errors in identifying sensitive data results in significant false positive alerts, slower efficiency, blocks innovation, and risks security.
GenAI is Skyrocketing
Enterprise AI adoption without security layers is creating unheard privacy risks.
Outdated Legacy DLP
Manual tools negatively impact ROI, obsessing over rule-based systems creates overheads.
Why Advanced, Context-Aware DLP Wins
Runtime enforcement with seamless user experience
Feature | Legacy DLP | Wald.ai Context-Aware DLP |
Context Aware Prompt Sanitization |  |  |
Autonomous sensitive data detection across all data types | | |
Smart redactions for maintaining intent | | |
Intent based semantic understanding of queries | | |
E2EE at every stage for application data | | |
Industry vertical classification of queries | | |
Low Latency of prompt sanitization | | |
A Glimpse Into How Wald.ai Tackles Gen AI Threats
Smart Contextual Redaction
Traditional tools rely on regex and other static patterns, often removing excessive data and missing critical data types they have not been trained to recognize. These techniques tend to introduce significant false positives and false negatives. Wald Context Intelligence uses advanced NLP to:
• Understand the context of your input.
• Identify what needs to be redacted and what should remain intact.
• Tokenize sensitive data with intelligent redactions to preserve the integrity and utility of your text.
"Please help me draft an email highlighting my achievements: Increased Playstation share from 45% to 48%; grew Playstation revenue from $23 Billion to $28 Billion; grew team size by 500 from 1600 to 2100; added two new partners Adventis and Roko as sales agents"
Traditional Redaction Techniques will not detect any data sensitive and leave the query unchanged:
"Please help me draft an email highlighting my achievements: Increased Playstation share from 45% to 48%; grew Playstation revenue from $23 Billion to $28 Billion; grew team size by 500 from 1600 to 2100; added two new partners Adventis and Roko as sales agents"
"Please help draft an email highlighting my achievements: Increased [Video Game Console Brand] share from [X1]% to [X2]%; grew [Video Game Console Brand] revenue from $[Y1] Billion to $[Y2] Billion; grew team size by [Z1] from [Z2] to [Z3]; added two new partners [Redacted Company1] and [Redacted Company2] as sales agents."
"List Tom Cruise movies in the last decade"
Traditional Redaction Techniques will redact the name regardless of the context of the query:
"List [REDACTED-NAME] movies in the last decade"
"List Tom Cruise movies in the last decade"
There's more to see, experience the full power of Wald.ai in action.
Book a 15-minute demo or jump straight in with a free 14-day trial.
Proven at Scale
I can give my team secure access to all leading conversational AIs without worrying about data leakage concerns.
At PayActiv, we use Wald.ai for our marketing needs. It helps us efficiently create social posts, email campaigns, and event materials. The platform's focus on data privacy and access to multiple AI models gives us peace of mind.
Fatima Afzal
Senior Director Marketing & Comms @PayActiv
Wald.ai with its contextual intelligence addresses a significant need in sanctioned company wide use of generative AI.
It offers a thoughtful approach to securing employee AI conversations and safeguarding sensitive private data and our intellectual property
Donovan Bray
Director of DevOps @Kiavi
Wald enables our employees to safely leverage leading AI models so they can reduce the time they spend on manual tasks.
At Suki AI, we aim to increase employee efficiency with cutting-edge AI solutions while maintaining the highest standards of security.
Jonathan Antonio
Vice President of Infrastructure @Suki
Wald's privacy and security product makes it feasible to use AI assistants at law firms
Ensuring that internal sensitive data remains protected while leveraging AI has significantly enhanced the efficiency and accuracy of legal work without compromising confidentiality or privilege.
Rick Borden
Partner, Data Strategy, Privacy and Cybersecurity in New York, and former Assistant General Counsel at a top 5 US bank.