Wald.ai

Dark Reading featured our recent announcement, the launch of Wald’s Context Intelligence platform, showcasing how we're transforming the landscape of AI adoption in business. “Wald.ai, which launched its data loss protection platform on Dec. 10, offers contextual redaction, where sensitive information is sanitized from conversations with AI assistants. The Wald Context Intelligence platform connects businesses with AI assistants while protecting confidential data and managing regulatory compliance. The platform redacts any sensitive or proprietary information and inserts intelligent data substitutions so that the AI model can still respond with optimal results, the company said in a statement. The sensitive data is repopulated – outside of the AI – before the end user sees the query response.” Check out the article here: https://lnkd.in/gGkUBQTB 

Even Santa knows that keeping sensitive information secure is a must this holiday season. Whether it’s protecting the North Pole’s operations or optimizing global gift deliveries, Wald.ai has his back. 🎁✨ 🎄 No leaks, no peeks—just seamless compliance and festive cheer! Here’s wishing you a Merry Christmas filled with joy, trust, and the magic of safe AI solutions! 🎄🎅🔒 #MerryChristmas #DataSecurity #AICompliance #WaldAI #SecureTheSeason #HolidayMagic

Worried about keeping your sensitive or proprietary information safe when using gen AI? Wald Context Intelligence™ helps employees and companies use gen AI safely and securely. As SecurityWeek’s new article explains, “Sensitive information is replaced with intelligent data substitutions while it’s being processed — to ensure optimal results from the AI — but the original information is restored before the results are provided to the user.” It’s an honor to be featured in top publications like SecurityWeek, just a few days after our official launch and funding news. For more information about Wald, check out this great article from Eduard Kovacs at SecurityWeek! https://lnkd.in/ePqBZq2r 

🚨 Attention CIOs/CTO/CDOs and business leaders! 🚨 The rise of Generative AI has transformed work, but it’s also created new data security challenges. Traditional data loss prevention methods are outdated. 🔐 We need a paradigm shift: Contextual Intelligence is the key to safeguarding confidential business data in AI conversations. 🧠 Why? Because context matters. AI models can infer sensitive information even from seemingly innocuous data. 🚀 Wald Contextual Intelligence identifies and protects sensitive information based on its context, not just predefined patterns. Read more in this article I authored for Forbes: https://lnkd.in/gv-YNnF4 Anshu Gupta, Prasidh Srikanth, Amit Singh, Pramod Gosavi, Gundeep Kaur, Gary Gauba, Alex Singla, Ram Rampalli, Brian Pullyblank, Evan Stewart, Lincoln Vierhus, Mark Coltharp,Rinki Sethi, Aysha Khan, Anant Jhingran, Matt Gonterman, Karen Roter Davis, Manu Rekhi #GenerativeAI #DataSecurity #ContextualRedaction #AIInnovation

We announced our Seed funding last week, securing critical resources and validating our mission to ensure businesses can leverage AI assistants safely. We are grateful to our investors, Inventus Capital Partners, Entrada Ventures, and several prominent angel investors including executives from Palo Alto Networks, Fortinet and HackerOne for giving us a powerful vote of confidence, along with the support of our customers. Read more on The Wall Street Journal , Axios The Information , SiliconANGLE & theCUBE, FinTech Global, SecurityWeek

🚀 Excited to share an insightful article by our CEO, Vinay Goel, featured in Forbes Tech Council! “The Role of Contextual Data Redaction in Guarding Confidential Business Data” explores how AI-driven contextual redaction helps protect sensitive information while meeting standards like HIPAA, SOC2, and CCPA. At Wald.ai, we’re driving secure and responsible AI adoption. Let us know your thoughts! Link to the article in the comments #AI #DataSecurity #ContextualRedaction #WaldAI #Innovation

🌟 Exciting News from Wald! 🌟 Today we announced a major milestone with the launch of Wald Context Intelligence, enabling businesses to use AI assistants safely. This cutting-edge technology empowers organizations to leverage AI with confidence. We are also excited to share that we closed a $4M seed funding round. This investment is a testament to the trust our investors have in our vision and our ability to deliver transformative technology solutions. A massive thank you to our dedicated team, partners, and early adopters for your unwavering support and belief in our mission 🙏 . We are excited to continue pushing the boundaries of what’s possible in AI and data protection. See our press release and explore our offerings at https://lnkd.in/gGjXg6Hn 🚀 #Innovation #DataProtection #AI #DLP #AI

Wald.ai secures $4M to tackle AI data leaks with its innovative contextual data loss prevention platform. Discover how we're making AI safe for business. Link to press release in the comments. #AI #DataSecurity #DataProtection

Data Privacy and AI: Can Enterprises Have the Best of Both Worlds? AI empowers enterprises to innovate at scale, but what about data privacy? Balancing cutting-edge AI tools with robust privacy practices isn’t just possible—it’s essential. 🔑 The solution? Data sanitization and redaction. By safeguarding sensitive information before it reaches AI systems, enterprises can unlock innovation while staying compliant and secure. Privacy and progress aren’t opposites—they’re partners. How does your organization strike this balance? #DataPrivacy #AIInnovation #SecureAI

Top 5 Risks of Sending Sensitive Data to LLMs – And How to Prevent Them 1️⃣ Data Breaches: Sensitive data can be exposed if LLMs are not properly secured. Prevent it: Use data sanitization tools to redact sensitive information before sharing. 2️⃣ Compliance Violations: Sharing unfiltered data might breach regulations like GLBA or HIPAA. Prevent it: Ensure workflows align with regulatory standards. 3️⃣ Data Retention Risks: Some AI systems retain user inputs for training future models. Prevent it: Sanitize outbound data before sending it to the AI system 4️⃣ Model Misuse: Without safeguards, sensitive data could be misused for unintended applications. Prevent it: Limit data access and set clear usage boundaries. 5️⃣ Reputational Damage: A data mishap could erode customer trust. Prevent it: Build transparency into your AI processes and prioritize security. Securing your AI workflows isn’t just a technical need—it’s a trust imperative. #DataSanitization #LLMPrivacy #AICompliance #DataSecurity