#Data Security and Compliance

[rajaniesh]

Unlocking Full Potential: The Compelling Reasons to Migrate to Databricks Unity Catalog

In a world overwhelmed by data complexities and AI advancements, Databricks Unity Catalog emerges as a game-changer. This blog delves into how Unity Catalog revolutionizes data and AI governance, offering a unified, agile solution .

[praseemj8]

What is ISO 27017 Compliance and It’s Role in Cloud Security?

ISO 27017: 2015 standard is a comprehensive framework for cloud security that focuses on providing guidance for information technology controls and security techniques specifically tailored for cloud services. It offers additional controls beyond those in ISO/IEC 27002, with a total of 37 controls based on ISO 27002 and 7 exclusive controls.

[onlinemarketingjuice]

SMBs in the Age of AI: Riding the Tailwinds or Bracing for Headwinds?

🧵 Let's discuss SMBs in the Age of AI: Tailwinds or Headwinds? AI has massive business implications, but the forecast isn't so clear for small and medium-sized businesses. This thread will break down the potential benefits and challenges for SMBs.

🚀 Tailwind: Operational Efficiency. AI automation can streamline business operations, freeing up valuable time for entrepreneurs to focus on strategic decision-making. It's not just about time-saving but also substantial cost savings.

🎯 Tailwind: Personalized Customer Experience. AI has revolutionized customer relationship management. AI-powered chatbots, for example, provide round-the-clock service and can predict customer needs.

📊 Tailwind: Data-driven Decision Making. AI offers SMBs a way to make data-driven decisions that were previously out of reach due to resource constraints. AI can analyze customer data and forecast trends.

💰 Headwind: High Implementation Costs. AI solutions often require significant upfront costs and ongoing maintenance, posing a hurdle for SMBs with constrained budgets.

🔐 Headwind: Data Privacy and Security Concerns. The rise of AI has necessitated stringent data privacy and security measures. Businesses must secure data effectively, as data breaches can result in serious financial and reputational damage.

⚖️ Headwind: Regulatory Compliance and Legal Concerns. AI brings additional regulatory challenges, especially in sectors like finance. Compliance with regulations like GDPR and CCPA adds complexity and potential cost.

🎓 Headwind: Skills Gap. Integrating AI solutions requires specialized knowledge, creating a significant skills gap. For SMBs with limited resources, competing with larger corporations for tech talent can be challenging.

📦 Headwind: Complexity of AI Explainability. The "black box" problem with some AI models presents another challenge for SMBs. If an AI system leads to a poor decision, it can be difficult to discern why and how to correct it.

🗺️ Navigating the AI Landscape: To harness the benefits of AI, SMBs must understand its implications fully and strategize accordingly. While it can be a powerful tool for growth and innovation, it has challenges.

🎧 For more insights, check out Dror Poleg's 2-week AI tools and trends course, or listen to his podcast episode "AI and the Offline Moat" on Rethinking with Dror Poleg, available on Spotify and Apple podcasts.

Remember, the winds of AI can blow in any direction. But if we learn to harness its power effectively, we can turn even the strongest headwinds into tailwinds.

[jcmarchi]

Sentra Secures $50M Series B to Safeguard AI-Driven Enterprises in the Age of Shadow Data

New Post has been published on https://thedigitalinsider.com/sentra-secures-50m-series-b-to-safeguard-ai-driven-enterprises-in-the-age-of-shadow-data/

Sentra Secures $50M Series B to Safeguard AI-Driven Enterprises in the Age of Shadow Data

In a landmark moment for data security, Sentra, a trailblazer in cloud-native data protection, has raised $50 million in Series B funding, bringing its total funding to over $100 million. The round was led by Key1 Capital with continued support from top-tier investors like Bessemer Venture Partners, Zeev Ventures, Standard Investments, and Munich Re Ventures.

This new investment arrives at a pivotal time, with AI adoption exploding across enterprises and bringing with it a tidal wave of sensitive data—and new security risks. Sentra, already experiencing 300% year-over-year growth and seeing fast adoption among Fortune 500 companies, is now doubling down on its mission: empowering organizations to innovate with AI without compromising on data security.

The AI Boom’s Dark Side: Unseen Risks in “Shadow Data”

While AI opens doors to unprecedented innovation, it also introduces a hidden threat—shadow data. As companies rush to harness the power of GenAI, data scientists and engineers frequently duplicate, move, and manipulate data across environments. Much of this activity flies under the radar of traditional security tools, leading to invisible data sprawl and growing compliance risks.

Gartner predicts that by 2025, GenAI will drive a 15% spike in data and application security spending, as organizations scramble to plug these emerging gaps. That’s where Sentra comes in.

What Makes Sentra Different?

Sentra’s Cloud-Native Data Security Platform (DSP) doesn’t just bolt security onto existing infrastructure. Instead, it’s designed from the ground up to autonomously discover, classify, and secure sensitive data—whether it lives in AWS, Azure, Google Cloud, SaaS apps, on-prem servers, or inside your AI pipeline.

At the heart of Sentra’s platform is an AI-powered classification engine that leverages large language models (LLMs). Unlike traditional data scanning tools that rely on fixed rules or predefined regex, Sentra’s LLMs understand the business context of data. That means they can identify sensitive information even in unstructured formats like documents, images, audio, or code repositories—with over 95% accuracy.

Importantly, no data ever leaves your environment. Sentra runs natively in your cloud or hybrid environment, maintaining full compliance with data residency requirements and avoiding any risk of exposure during the scanning process.

Beyond Classification: A Full Security Lifecycle

Sentra’s platform combines multiple layers of data security into one unified system:

DSPM (Data Security Posture Management) continuously assesses risks like misconfigured access controls, duplicated sensitive data, and misplaced files.

DDR (Data Detection & Response) flags suspicious activity in real-time—such as exfiltration attempts or ransomware encryption—empowering security teams to act before damage occurs.

DAG (Data Access Governance) maps user and application identities to data permissions and enforces least privilege access, a key principle in modern cybersecurity.

This approach transforms the once-static notion of data protection into a living, breathing security layer that scales with your business.

Led by a World-Class Cybersecurity Team

Sentra’s leadership team reads like a who’s who of Israeli cyber intelligence:

Asaf Kochan, President, is the former Commander of Unit 8200, Israel’s elite cyber intelligence unit.

Yoav Regev, CEO, led the Cyber Department within Unit 8200.

Ron Reiter, CTO, is a serial entrepreneur with deep technical expertise.

Yair Cohen, VP of Product, brings years of experience from Microsoft and Datadog.

Their shared vision: to reimagine data security for the cloud- and AI-first world.

And the market agrees. Sentra was recently named both a Leader and Fast Mover in the GigaOm Radar for Data Security Posture Management (DSPM), underscoring its growing influence in the security space.

Building a Safer Future for AI

The $50 million boost will allow Sentra to scale its operations, grow its expert team, and enhance its platform with new capabilities to secure GenAI workloads, AI assistants, and emerging data pipelines. These advancements will provide security teams with even greater visibility and control over sensitive data—across petabyte-scale estates and AI ecosystems.

“AI is only as secure as the data behind it,” said CEO Yoav Regev. “Every enterprise wants to harness AI—but without confidence in their data security, they’re stuck in a holding pattern. Sentra breaks that barrier, enabling fast, safe innovation.”

As AI adoption accelerates and regulatory scrutiny tightens, Sentra’s approach may very well become the blueprint for modern enterprise data protection. For businesses looking to embrace AI with confidence, Sentra offers something powerful: security that moves at the speed of innovation.

[blockchaindevelopmenttechnology]

Healthcare on the Blockchain: Boosting Privacy, Security, and Patient Outcomes

Introduction: A New Prescription for Healthcare Innovation

In today’s digital age, healthcare systems face growing challenges—ranging from frequent data breaches to fragmented patient records. Enter blockchain technology, a game-changer that promises not just stronger data security, but also improved patient outcomes. With the help of a trusted Blockchain Development Company, healthcare providers can harness this powerful innovation to create secure, transparent, and efficient systems.

What is Blockchain and Why It Matters in Healthcare

Blockchain is a decentralized ledger technology known for its immutability, transparency, and security. Unlike traditional databases, it doesn’t rely on a single centralized server, which means healthcare data can be securely shared and stored without the risk of tampering. A skilled Blockchain Development Agency can tailor this technology to fit the sensitive demands of modern healthcare systems.

Current Pain Points in the Healthcare System

Data breaches compromising patient privacy

Siloed and inaccessible health records

Administrative inefficiencies and rising costs

Trust deficits between patients and providers

How Blockchain Development Services Are Reshaping Healthcare

1. Electronic Health Records (EHRs)

Blockchain allows patients to control their medical data, granting permission to doctors or hospitals as needed. Blockchain development services are enabling healthcare systems to build interoperable EHR platforms that ensure data integrity and privacy.

2. Data Privacy & Regulatory Compliance

Blockchain's encryption and decentralized structure ensure compliance with HIPAA, GDPR, and other regulations.

3. Supply Chain Transparency

From pharmaceutical tracking to cold chain logistics, blockchain ensures product authenticity, reducing fraud in healthcare supply chains.

4. Clinical Research & Trials

Smart contracts help maintain transparency and auditability in clinical trials, boosting public trust.

5. Insurance Claims & Billing

With blockchain automation via smart contracts, claim settlements become faster and fraud-resistant.

Benefits of Blockchain in Healthcare

Enhanced data security and privacy

Reduced administrative costs

Improved patient engagement and trust

Real-time access to accurate medical records

Fraud prevention in healthcare billing

Success Stories: Real-World Blockchain Healthcare Projects

Examples include:

Estonia’s national EHR system powered by blockchain

MediLedger for pharmaceutical supply chain

BurstIQ for health data marketplaces

These success stories were made possible by top-tier blockchain development companies with deep healthcare expertise.

Barriers to Adoption

Technical integration with legacy systems

Limited awareness among stakeholders

Uncertain legal and regulatory frameworks

Scalability and cost considerations

What the Future Holds: Blockchain, AI & IoT in Healthcare

The fusion of blockchain with AI and IoT opens doors to predictive diagnostics, remote monitoring, and fully secure digital health ecosystems. Partnering with a visionary blockchain development company will be key to staying ahead in this rapidly evolving space.

Conclusion: The Time to Act is Now

Blockchain isn’t just a buzzword—it’s the foundation for the next generation of secure, efficient, and patient-focused healthcare. As healthcare organizations move toward digitization, collaborating with an expert blockchain development agency can pave the way for a future where privacy, efficiency, and innovation walk hand in hand.

[segmed]

Protecting Patient Data: Segmed's Commitment to Security & Compliance

At Segmed, patient privacy comes first. You can take a look at our comprehensive security measures, including SOC 2 Type II and ISO 27001 certifications, HIPAA compliance, and robust infrastructure to protect sensitive health information.​ Our secure infrastructure and minimized data exposure practices ensure the integrity and confidentiality of patient data.​

[goodoldbandit]

Data Governance Best Practices: Ensuring Data Quality and Security.

Sanjay Kumar Mohindroo Sanjay Kumar Mohindroo. skm.stayingalive.in Discover how data governance shapes business success. Real stories, best practices, and debate on data quality and security. A Call to See Data Differently Data is everywhere. We collect it, store it, and analyze it. Yet, many companies struggle to protect it or even make sense of it. Data can be your greatest ally if you…

[precallai]

Automate, Optimize, and Succeed AI in Call Centers

Introduction

The call center industry has undergone a significant transformation with the integration of artificial intelligence (AI). Businesses worldwide are adopting AI-powered call center solutions to enhance customer service, improve efficiency, and reduce operational costs. AI-driven automation helps optimize workflows and ensures superior customer experiences. This article explores how AI is revolutionizing call centers, focusing on automation, optimization, and overall business success.

The Rise of AI in Call Centers

AI technology is reshaping the traditional call center model by enabling automated customer interactions, predictive analytics, and enhanced customer service strategies. Key advancements such as Natural Language Processing (NLP), machine learning, and sentiment analysis have led to the creation of intelligent virtual assistants and chatbots that streamline communication between businesses and customers.

Key Benefits of AI in Call Centers

Automation of Repetitive Tasks

AI-driven chatbots and virtual assistants handle routine customer inquiries, freeing up human agents to focus on more complex issues.

AI automates call routing, ensuring customers reach the right agent or department quickly.

Improved Customer Experience

AI-powered systems provide personalized responses based on customer history and preferences.

AI reduces wait times and improves first-call resolution rates, leading to higher customer satisfaction.

Optimized Workforce Management

AI-based analytics predict call volumes and optimize staffing schedules to prevent overstaffing or understaffing.

AI assists in real-time monitoring and coaching of agents, improving overall productivity.

Enhanced Data Analysis and Insights

AI tools analyze customer interactions to identify trends, allowing businesses to improve services and make data-driven decisions.

Sentiment analysis helps understand customer emotions and tailor responses accordingly.

Cost Efficiency and Scalability

AI reduces the need for large call center teams, cutting operational costs.

Businesses can scale AI-powered solutions effortlessly without hiring additional staff.

AI-Powered Call Center Technologies

Chatbots and Virtual Assistants

These AI-driven tools handle basic inquiries, appointment scheduling, FAQs, and troubleshooting.

They operate 24/7, ensuring customers receive support even outside business hours.

Speech Recognition and NLP

NLP enables AI to understand and respond to human language naturally.

Speech recognition tools convert spoken words into text, enhancing agent productivity and improving accessibility.

Sentiment Analysis

AI detects customer emotions in real time, helping agents adjust their approach accordingly.

Businesses can use sentiment analysis to track customer satisfaction and identify areas for improvement.

Predictive Analytics and Call Routing

AI anticipates customer needs based on past interactions, directing them to the most suitable agent.

Predictive analytics help businesses forecast trends and plan proactive customer engagement strategies.

AI-Powered Quality Monitoring

AI analyzes call recordings and agent interactions to assess performance and compliance.

Businesses can provide data-driven training to improve agent efficiency and customer service.

Challenges and Considerations in AI Implementation

While AI offers numerous benefits, businesses must address several challenges to ensure successful implementation:

Data Privacy and Security

AI systems process vast amounts of customer data, making security a top priority.

Businesses must comply with regulations such as GDPR and CCPA to protect customer information.

Human Touch vs. Automation

Over-reliance on AI can make interactions feel impersonal.

A hybrid approach, where AI supports human agents rather than replacing them, ensures a balance between efficiency and empathy.

Implementation Costs

AI integration requires an initial investment in technology and training.

However, long-term benefits such as cost savings and increased productivity outweigh the initial expenses.

Continuous Learning and Improvement

AI models require regular updates and training to adapt to changing customer needs and market trends.

Businesses must monitor AI performance and refine algorithms to maintain efficiency.

Future of AI in Call Centers

The future of AI in call centers is promising, with continued advancements in automation and machine learning. Here are some trends to watch for:

AI-Driven Omnichannel Support

AI will integrate seamlessly across multiple communication channels, including voice, chat, email, and social media.

Hyper-Personalization

AI will use real-time data to deliver highly personalized customer interactions, improving engagement and satisfaction.

Autonomous Call Centers

AI-powered solutions may lead to fully automated call centers with minimal human intervention.

Enhanced AI and Human Collaboration

AI will complement human agents by providing real-time insights and recommendations, improving decision-making and service quality.

Conclusion

AI is transforming call centers by automating processes, optimizing operations, and driving business success. Companies that embrace AI-powered solutions can enhance customer service, increase efficiency, and gain a competitive edge in the market. However, successful implementation requires balancing automation with the human touch to maintain meaningful customer relationships. By continuously refining AI strategies, businesses can unlock new opportunities for growth and innovation in the call center industry.

[sharedocsdms]

HIPAA Automation: Simplify Compliance & Boost Security

HIPAA Automation uses technology to simplify compliance, reduce manual work and increase efficiency. With automated tools you can do self-audits, manage security policies, track risks and be continuously compliant with HIPAA regulations. This saves time and resources and minimizes human error that can lead to non-compliance. HIPAA compliant workflow automation lets healthcare providers simplify compliance and focus on patient care.

Why Do You Need HIPAA Automation? 

Healthcare organizations handle huge amounts of patient data, manual compliance is a cumbersome and time consuming task. Automating HIPAA compliance with healthcare regulatory compliance software has many benefits:

Ensures Regulatory Compliance – Automation helps organizations follow HIPAA rules for patient data. 

Enhances Risk Management – Automated tools streamline risk assessments and policy enforcement. 

Reduces Data Breach Risks – Security automation minimizes vulnerabilities and protects sensitive information. 

Keeps Up with Changing Regulations – Compliance requirements change and automation keeps up. 

Improves Accuracy and Efficiency – Automation reduces human error and ensures consistency in enforcement. 

Strengthens Healthcare Data Security – With healthcare data security solutions organizations can protect patient records from breaches and cyber threats. 

Steps to Get Started with HIPAA Automation 

Understand HIPAA: Before you start with automation, get familiar with HIPAA’s Security Rule, Privacy Rule and Breach Notification requirements. This knowledge is key to choosing the right healthcare regulatory compliance software.

Conduct a Compliance Risk Assessment: Identify compliance risks by evaluating your organization’s policies and procedures. A thorough risk assessment will uncover vulnerabilities and ensure your compliance program is aligned with regulatory requirements.

Choose the Right Automation Tool: Select an automation tool that integrates with your existing systems. Common tools are HIPAA compliant workflow automation, Identity and Access Management (IAM), Security Information and Event Management (SIEM) and policy management platforms. Comprehensive solutions like Sprinto can handle all aspects of HIPAA compliance automation.

Test the Automation Tool: Once you’ve selected a tool, integrate it into your system and test thoroughly to ensure it meets HIPAA standards and works.

Train Your Employees: Compliance is not just about software; employees need to be trained on HIPAA and automation tools. Proper training ensures staff members know their role in maintaining compliance.

Monitor and Continuously Evaluate: After automation, monitor its effectiveness, update policies as needed and be compliant with evolving HIPAA regulations. Regular assessments supported by healthcare data security solutions will help you identify areas for improvement and prevent potential violations.Bottomline HIPAA automation makes compliance easy by reducing manual work, reducing risks and being regulatory compliant.

Conclusion

HIPAA automation simplifies compliance by reducing manual efforts, minimizing risks, and ensuring regulatory adherence. By leveraging HIPAA compliant workflow automation and healthcare regulatory compliance software, healthcare organizations can enhance security, improve efficiency, and maintain long-term HIPAA compliance with ease.

[leonbasinwriter]

AI-Driven Cybersecurity: Protecting Education from Breaches

By Leon Basin | Alumnus, Santa Clara University Leavey School of Business | Bridging Academic Rigor & Real-World Cybersecurity Executive Summary 2025 Education Cyberattack Snapshot In 2025, 56% of U.S. school districts suffered cyber breaches—many stemming from compromised privileged accounts (K12 SIX). With K-12 breach costs averaging $4.45M per incident (IBM), institutions must act…

[sisgainuae]

[itechniq]

🔒 The Future of Data Security in the UK: Trends & Compliance Challenges in 2025

As we approach 2025, data security in the UK will be shaped by new trends and evolving challenges. With digital transformation on the rise, businesses must navigate complex regulations like GDPR while tackling increasing cybersecurity threats. 🚨

AI and machine learning will play a key role in enhancing security and mitigating risks. To stay compliant, regular audits and strong data protection measures will be essential.

Data Security & Compliance Audit Services will be critical to ensure businesses meet regulatory standards and safeguard sensitive information. 📊

Staying ahead of these trends will be key for businesses to protect data and build trust in the digital age. 🌐 Read More - https://www.bipsanfrancisco.com/future-of-data-security-in-the-uk-trends-and-compliance-challenges-in-2025

[garymdm]

Strategic Data Risk Management: Aligning Risk with Business Objectives

Businesses today leverage data to help improve their operational capabilities. Every business area – from finance and product development to sales and marketing – relies on the collection and integrity of multiple data sources. The Business Impact of Data RisksHow Data Risks Can Impact BusinessesFinancial LossReputational DamageOperational DisruptionsCore Elements of Strategic Data Risk…

[hitechnectartrends]

How can organizations balance risk and reward when adopting Generative AI

Organizations can balance risk and reward when adopting Generative AI (GenAI) by implementing a strategic approach that emphasizes due diligence, ethical frameworks, and robust governance. Here are key strategies to achieve this balance: