- Normalyze introduces cutting-edge capabilities in Data Security Posture Management (DSPM) at RSA conference.
- Empowers organizations to proactively manage access and exposure risks in complex multi-cloud environments.
- Addresses challenges posed by Large Language Models (LLMs) and extensive data lakes with sophisticated solutions.
- Recognized by industry leaders like Snowflake for granular governance controls and sensitive data identification.
- Latest innovations include specialized APIs for LLM security, precision enhancement with adaptive feedback validation workflows, and expanded OCR capabilities.
- Normalyze extends support to on-premise data environments, ensuring visibility and control over sensitive data.
Main AI News:
In the dynamic landscape of data security, Normalyze continues to lead the way with innovative solutions aimed at fortifying organizations against evolving threats. At the forefront of Data Security Posture Management (DSPM), Normalyze unveiled its latest platform enhancements and celebrated market triumphs at the prestigious RSA conference, reaffirming its capability to tackle the most daunting data security dilemmas confronted by today’s CISOs.
“At Audacy, we are committed to driving digital innovation while upholding the utmost standards of data privacy and security for our audience,” remarked Josiah Nosek, Security Architect at Audacy. He continued, “Normalyze has been instrumental in empowering our teams to efficiently navigate the complexities of data governance in our multi-cloud environment, ensuring proactive management of access and exposure risks, and uncovering cost-saving opportunities through the identification of redundant data assets. Their swift time-to-value, extensive coverage across various platforms, and collaborative approach position Normalyze as a strategic partner in our security ecosystem.”
As traditional data security tools struggle to keep pace with the intricacies of modern environments, Normalyze emerges as a beacon of innovation, equipping enterprises with the agility and sophistication needed to safeguard their data assets. The proliferation of technologies such as Large Language Models (LLMs), generative AI, and expansive data lakes amplifies security challenges, necessitating robust solutions. In line with this urgency, Gartner® predicts that “by 2026, over 20% of organizations will deploy DSPM technology to address the pressing need for identifying and locating previously unknown data repositories and mitigating associated security risks.“
Echoing the sentiments of industry leaders, Snowflake emphasizes the pivotal role of DSPM in fortifying data governance. Sandeep Chandana, Director of Data Science & Analytics at Snowflake, emphasized, “With Normalyze, we gain granular governance controls and invaluable insights into our data landscape, enabling us to enforce least privilege access and mitigate potential risks effectively.”
Jacob Elziq, CEO of Armature Systems, stressed the foundational importance of digital asset management in cybersecurity initiatives, highlighting the pivotal role of tools like Normalyze DSPM in securing critical data assets.
Innovation Continues to Drive Normalyze’s Success
“Our commitment to innovation knows no bounds,” asserted Amer Deeba, co-founder and CEO of Normalyze. “From pioneering scanning capabilities tailored for safeguarding sensitive information within Large Language Models to our collaboration with Snowflake in optimizing data access, our roadmap sets the standard for the DSPM landscape.“
Normalyze’s latest innovations redefine the DSPM paradigm, promising heightened security and efficiency for organizations:
- DSPM for AI: Introducing advanced scanning capabilities designed to identify sensitive data within Large Language Models (LLMs), ensuring AI-generated content remains devoid of sensitive information. Normalyze extends its support to secure cloud-based AI deployments, offering comprehensive protection for platforms like AWS Bedrock and Azure OpenAI.
- Specialized API for LLM Security: Normalyze offers specialized APIs tailored for LLM security, facilitating real-time sensitivity analysis and governance of data flowing in and out of LLMs. These APIs seamlessly integrate into existing workflows, bolstering security for services such as Microsoft CoPilot.
- Empowering Snowflake Customers: Snowflake customers can now leverage advanced tools for automated data discovery, precise access management via the Data Access Graph, and proactive risk monitoring to enhance security measures across their Snowflake data landscape, supporting stringent compliance protocols.
- Precision Enhancement with Adaptive Feedback Validation Workflows: Normalyze introduces learning capabilities to enhance classification accuracy and remediation recommendations based on user feedback.
- Expanded Optical Character Recognition (OCR): Enhanced OCR capabilities improve text recognition and classification within scanned documents or images, enhancing data capture from diverse formats.
- DSPM for On-Premise: Normalyze extends its support to on-premise data environments, enabling teams to gain visibility and control over sensitive data in both self-managed and cloud-based deployments.
Conclusion:
Normalyze’s pioneering advancements in data security posture management signify a significant leap forward for the market. By addressing the pressing challenges posed by evolving technologies and complex data environments, Normalyze sets a new standard for security solutions. Organizations stand to benefit from heightened protection, improved governance, and enhanced efficiency, positioning Normalyze as a key player in shaping the future of data security.
