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Understanding the FTC Data Breach Reporting Requirements

June 18, 2024
4
Min Read
Compliance

More Companies Need to Report Data Breaches

In a significant move towards enhancing data security and transparency, new data breach reporting rules have taken effect for various financial institutions. Since May 13, 2024, non-banking financial institutions, including mortgage brokers, payday lenders, and tax preparation firms, must report data breaches to the Federal Trade Commission (FTC) within 30 days of discovery. This new mandate, part of the FTC's Safeguards Rule, expands the breach notification requirements to a broader range of financial entities not overseen by the Securities and Exchange Commission (SEC). 

Furthermore, by June 15, 2024, smaller reporting companies—those with a public float under $250 million or annual revenues under $100 million—must comply with the SEC’s new cybersecurity incident reporting rules, aligning their disclosure obligations with those of larger corporations. These changes mark a significant step towards enhancing transparency and accountability in data breach reporting across the financial sector.

How Can Financial Institutions Secure Their Data?

Understanding and tracking your sensitive data is fundamental to robust data security practices. The first step in safeguarding data is detecting and classifying what you have. It's far easier to protect data when you know it exists. This allows for appropriate measures such as encryption, controlling access, and monitoring for unauthorized use. By identifying and mapping your data, you can ensure that sensitive information is adequately protected and compliance requirements are met.

Identify Sensitive Data: Data is constantly moving, which makes it a challenge to know exactly what data you have and where it resides. This includes customer information, financial records, intellectual property, and any other data deemed sensitive. Having an automated data classification tool is a crucial first step. This includes ‘shadow’ data that may not be well known or well managed.

Data Mapping: Create and maintain an up-to-date map of your data landscape. This map should show where data is stored, processed, and transmitted, and who has access to it. It helps in quickly identifying which systems and data were affected by a breach and the impact blast radius (how extensive is the damage).

"Your Data Has Been Breached, Now What?"

When a data breach occurs, the immediate response is critical in mitigating damage and addressing the aftermath effectively. The investigation phase is particularly crucial as it determines the extent of the breach, the type and sensitivity of the data compromised, and the potential impact on the organization.

A key challenge during the investigation phase is understanding where the sensitive data was located at the time of the data breach and why or how existing controls were insufficient. 

Without a proper data classification process or solution in place, it is difficult to ascertain the exact locations of the sensitive data or the applicable security posture at the time of the breach within the short timeframe required by the SEC and FTC reporting rules. 

Here's a breakdown of the essential steps and considerations during the investigation phase:

1. Develop Appropriate Posture Policies and Enforce Adherence:

Establish policies that alert on and can help enforce appropriate security posture and access controls - these can be out-of-the-box fitting various compliance frameworks or can be customized for unique business or privacy requirements. Monitor for policy violations and initiate appropriate remediation actions (which can include ticket issuance, escalation notification, and automated access revocation or de-identification).

2. Conduct the Investigation: Determine Data Breach Source:

Identify how the breach occurred. This could involve phishing attacks, malware, insider threats, or vulnerabilities in your systems.

According to the FTC, it is critical to clearly describe what you know about the compromise. This includes:

  • How it happened
  • What information was taken
  • How the thieves have used the information (if you know)
  • What actions you have taken to remedy the situation
  • What actions you are taking to protect individuals, such as offering free credit monitoring services
  • How to reach the relevant contacts in your organization

Create a Comprehensive Plan: Additionally, create a comprehensive plan that reaches all affected audiences, such as employees, customers, investors, business partners, and other stakeholders.

Affected and Duplicated Data: Ascertain which data sets were accessed, altered, or exfiltrated. This involves checking logs, access records, and utilizing forensic tools. Assess if sensitive data has been duplicated or moved to unauthorized locations. This can compound the risk and potential damage if not addressed promptly.

How Sentra Helps Automate Compliance and Incident Response

Sentra’s Data Security Posture Management solution provides organizations with full visibility into their data’s locations (including shadow data) and an up-to-date data catalog with classification of sensitive data. Sentra provides this without any complex deployment or operational work involved, this is achieved due to a cloud-native agentless architecture, using cloud provider APIs and mechanisms.

Below you can see the different data stores on the Sentra dashboard.

Sentra Dashboard data stores

Sentra Makes Data Access Governance (DAG) Easy

Sentra helps you understand which users have access to what data and enrich metadata catalogs for comprehensive data governance. The accurate classification of cloud data provides advanced classification labels, including business context regarding the purpose of data, and automatic discovery, enabling organizations to gain deeper insights into their data landscape. This both enhances data governance while also providing a solid foundation for informed decision-making.

Sentra's detection capabilities can pinpoint over permissioning to sensitive data, prompting organizations to swiftly control them. This proactive measure not only mitigates the risk of potential breaches but also elevates the overall security posture of the organization by helping to institute least-privilege access.

Below you can see an example of a user’s access and privileges to which sensitive data.

An example of a user’s access and privileges to which sensitive data

Breach Reporting With Sentra

Having a proper classification solution helps you understand what kind of data you have at all times.

With Sentra, it's easier to pull the information for the report and understand whether there was sensitive data at the time of breach,  what kind of data there was, and who/what had access to it, in order to have an accurate report.

Example of Sentra's Data Breach Report

To learn more about how you can gain full coverage and an up-to-date data catalog with classification of sensitive data, schedule a live demo with our experts.

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Meni is an experienced product manager and the former founder of Pixibots (A mobile applications studio). In the past 15 years, he gained expertise in various industries such as: e-commerce, cloud management, dev-tools, mobile games, and more. He is passionate about delivering high quality technical products, that are intuitive and easy to use.

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Yogev Wallach
Yogev Wallach
August 11, 2025
4
Min Read
AI and ML

How to Secure Regulated Data in Microsoft 365 Copilot

How to Secure Regulated Data in Microsoft 365 Copilot

Microsoft 365 Copilot is a game-changer, embedding generative AI directly into your favorite tools like Word, Outlook, and Teams, and giving productivity a huge boost. But for governance, risk, and compliance (GRC) officers and CISOs, this exciting new innovation also brings new questions about governing sensitive data.

So, how can your organization truly harness Copilot safely without risking compliance? What are Microsoft 365 Copilot security best practices?

Frameworks like NIST’s AI Risk Management and the EU AI Act offer broad guidance, but they don't prescribe exact controls. At Sentra, we recommend a practical approach: treat Copilot as a sensitive data store capable of serving up data (including highly sensitive, regulated information).

This means applying rigorous data security measures to maintain compliance. Specifically, you'll need to know precisely what data Copilot can access, secure it, clearly map access, and continuously monitor your overall data security posture.

We tackle Copilot security through two critical DSPM concepts: Sanitization and Governance.

1. Sanitization: Minimize Unnecessary Data Exposure

Think of Copilot as an incredibly powerful search engine. It can potentially surface sensitive data hidden across countless repositories. To prevent unintended leaks, your crucial first step is to minimize the amount of sensitive data Copilot can access.

Address Shadow Data and Oversharing

It's common for organizations to have sensitive data lurking in overlooked locations or within overshared files. Copilot's incredible search capabilities can suddenly bring these vulnerabilities to light. Imagine a confidential HR spreadsheet, accidentally shared too broadly, now easily summarized by Copilot for anyone who asks.

The solution? Conduct thorough data housekeeping. This means identifying, archiving, or deleting redundant, outdated, or improperly shared information. Crucially, enforce least privilege access by actively auditing and tightening permissions – ensuring only essential identities have access to sensitive content.

How Sentra Helps

Sentra's DSPM solution leverages advanced AI technologies (like OCR, NER, and embeddings) to automatically discover and classify sensitive data across your entire Microsoft 365 environment. Our intuitive dashboards quickly highlight redundant files, shadow data, and overexposed folders. What's more, we meticulously map access at the identity level, clearly showing which users can access what specific sensitive data – enabling rapid remediation.

For example, in the screenshot below, you'll see a detailed view of an identity (Jacob Simmons) within our system. This includes a concise summary of the sensitive data classes they can access, alongside a complete list of accessible data stores and data assets.

sentra dspm identity access

2. Governance: Control AI Output to Prevent Data Leakage

Even after thorough sanitization, some sensitive data must remain accessible within your environment. This is where robust governance comes in, ensuring that Copilot's output never becomes an unintentional vehicle for sensitive data leakage.

Why Output Governance Matters

Without proper controls, Copilot could inadvertently include sensitive details in its generated content or responses. This risk could lead to unauthorized sharing, unchecked sensitive data sprawl, or severe regulatory breaches. The recent EchoLeak vulnerability, for instance, starkly demonstrated how attackers might exploit AI-generated outputs to silently leak critical information.

Leveraging DLP and Sensitivity Labels

Microsoft 365’s Purview Information Protection and DLP policies are powerful tools that allow organizations to control what Copilot can output. Properly labeled sensitive data, such as documents marked “Confidential – Financial,” prompt Copilot to restrict content output, providing users only with references or links rather than sensitive details.

Sentra’s Governance Capabilities

Sentra automatically classifies your data and intelligently applies MPIP sensitivity labels, directly powering Copilot’s critical DLP policies. Our platform integrates seamlessly with Microsoft Purview, ensuring sensitive files are accurately labeled based on flexible, custom business logic. This guarantees that Copilot's outputs remain fully compliant with your active DLP policies.

Below is an example of Sentra’s MPIP label automation in action, showing how we place sensitivity labels on data assets that contain Facebook profile URLs and credit card numbers belonging to EU citizens, which were modified in the past year:

Additionally, our continuous monitoring and real-time alerts empower organizations to immediately address policy violations – for instance, sensitive data with missing or incorrect MPIP labels – helping you maintain audit readiness and seamless compliance alignment.

sentra mpip label automation sensitive data microsoft purview information protection automation

A Data-Centric Security Approach to AI Adoption

By strategically combining robust sanitization and strong governance, you ensure your regulated data remains secure while enabling safe and compliant Copilot adoption across your organization. This approach aligns directly with the core principles outlined by NIST and the EU AI Act, effectively translating high-level compliance guidance into actionable, practical controls.

At Sentra, our mission is clear: to empower secure AI innovation through comprehensive data visibility and truly automated compliance. Our cutting-edge solutions provide the transparency and granular control you need to confidently embrace Copilot’s powerful capabilities, all without risking costly compliance violations.

Next Steps

Adopting Microsoft 365 Copilot securely doesn’t have to be complicated. By leveraging Sentra’s comprehensive DSPM solutions, your organization can create a secure environment where Copilot can safely enhance productivity without ever exposing your regulated data.


Ready to take control? Contact a Sentra expert today to learn more about seamlessly securing your sensitive data and confidently deploying Microsoft 365 Copilot.

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Yair Cohen
Yair Cohen
Gilad Golani
Gilad Golani
August 5, 2025
4
Min Read
Data Security

How Automated Remediation Enables Proactive Data Protection at Scale

How Automated Remediation Enables Proactive Data Protection at Scale

Scaling Automated Data Security in Cloud and AI Environments

Modern cloud and AI environments move faster than human response. By the time a manual workflow catches up, sensitive data may already be at risk. Organizations need automated remediation to reduce response time, enforce policy at scale, and safeguard sensitive data the moment it becomes exposed. Comprehensive data discovery and accurate data classification are foundational to this effort. Without knowing what data exists and how it's handled, automation can't succeed.

Sentra’s cloud-native Data Security Platform (DSP) delivers precisely that. With built-in, context-aware automation, data discovery, and classification, Sentra empowers security teams to shift from reactive alerting to proactive defense. From discovery to remediation, every step is designed for precision, speed, and seamless integration into your existing security stack. precisely that. With built-in, context-aware automation, Sentra empowers security teams to shift from reactive alerting to proactive defense. From discovery to remediation, every step is designed for precision, speed, and seamless integration into your existing security stack.

Automated Remediation: Turning Data Risk Into Action

Sentra doesn't just detect risk, it acts. At the core of its value is its ability to execute automated remediation through native integrations and a powerful API-first architecture. This lets organizations immediately address data risks without waiting for manual intervention.

Key Use Cases for Automated Data Remediation

Sensitive Data Tagging & Classification Automation

Sentra accurately classifies and tags sensitive data across environments like Microsoft 365, Amazon S3, Azure, and Google Cloud Platform. Its Automation Rules Page enables dynamic labels based on data type and context, empowering downstream tools to apply precise protections.

Sensitive Data Tagging and Classification Automation in Microsoft Purview

Automated Access Revocation & Insider Risk Mitigation

Sentra identifies excessive or inappropriate access and revokes it in real time. With integrations into IAM and CNAPP tools, it enforces least-privilege access. Advanced use cases include Just-In-Time (JIT) access via SOAR tools like Tines or Torq.

Enforced Data Encryption & Masking Automation

Sentra ensures sensitive data is encrypted and masked through integrations with Microsoft Purview, Snowflake DDM, and others. It can remediate misclassified or exposed data and apply the appropriate controls, reducing exposure and improving compliance.

Integrated Remediation Workflow Automation

Sentra streamlines incident response by triggering alerts and tickets in ServiceNow, Jira, and Splunk. Context-rich events accelerate triage and support policy-driven automated remediation workflows.

Architecture Built for Scalable Security Automation

Cloud & AI Data Visibility with Actionable Remediation

Sentra provides visibility across AWS, Azure, GCP, and M365 while minimizing data movement. It surfaces actionable guidance, such as missing logging or improper configurations, for immediate remediation.

Dynamic Policy Enforcement via Tagging

Sentra’s tagging flows directly into cloud-native services and DLP platforms, powering dynamic, context-aware policy enforcement.

API-First Architecture for Security Automation

With a REST API-first design, Sentra integrates seamlessly with security stacks and enables full customization of workflows, dashboards, and automation pipelines.

Why Sentra for Automated Remediation?

Sentra offers a unified platform for security teams that need visibility, precision, and automation at scale. Its advantages include:

  • No agents or connectors required
  • High-accuracy data classification for confident automation
  • Deep integration with leading security and IT platforms
  • Context-rich tagging to drive intelligent enforcement
  • Built-in data discovery that powers proactive policy decisions
  • OpenAPI interface for tailored remediation workflows

These capabilities are particularly valuable for CISOs, Heads of Data Security, and AI Security teams tasked with securing sensitive data in complex, distributed environments. 

Automate Data Remediation and Strengthen Cloud Security

Today’s cloud and AI environments demand more than visibility, they require decisive, automated action. Security leaders can no longer afford to rely on manual processes when sensitive data is constantly in motion.

Sentra delivers the speed, precision, and context required to protect what matters most. By embedding automated remediation into core security workflows, organizations can eliminate blind spots, respond instantly to risk, and ensure compliance at scale.

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Ward Balcerzak
Ward Balcerzak
July 30, 2025
3
Min Read
Data Security

How Sentra is Redefining Data Security at Black Hat 2025

How Sentra is Redefining Data Security at Black Hat 2025

As we move deeper into 2025, the cybersecurity landscape is experiencing a profound shift. AI-driven threats are becoming more sophisticated, cloud misconfigurations remain a persistent risk, and data breaches continue to grow in scale and cost.

In this rapidly evolving environment, traditional security approaches are no longer enough. At Black Hat USA 2025, Sentra will demonstrate how security teams can stay ahead of the curve through data-centric strategies that focus on visibility, risk reduction, and real-time response. Join us on August 4-8 at the Mandalay Bay Convention Center in Las Vegas to learn how Sentra’s platform is reshaping the future of cloud data security.

Understanding the Stakes: 2024’s Security Trends

Recent industry data underscores the urgency facing security leaders. Ransomware accounted for 35% of all cyberattacks in 2024 - an 84% increase over the prior year. Misconfigurations continue to be a leading cause of cloud incidents, contributing to nearly a quarter of security events. Phishing remains the most common vector for credential theft, and the use of AI by attackers has moved from experimental to mainstream.

These trends point to a critical shift: attackers are no longer just targeting infrastructure or endpoints. They are going straight for the data.

Why Data-Centric Security Must Be the Focus in 2025

The acceleration of multi-cloud adoption has introduced significant complexity. Sensitive data now resides across AWS, Azure, GCP, and SaaS platforms like Snowflake and Databricks. However, most organizations still struggle with foundational visibility - not knowing where all their sensitive data lives, who has access to it, or how it is being used.

Sentra’s approach to Data Security Posture Management (DSPM) is built to solve this problem. Our platform enables security teams to continuously discover, identify, classify, and secure sensitive data across their cloud environments, and to do so in real time, without agents or manual tagging.

Sentra at Black Hat USA 2025: What to Expect

At this year’s conference, Sentra will be showcasing how our DSPM and Data Detection and Response (DDR) capabilities help organizations proactively defend their data against evolving threats. Our live demonstrations will highlight how we uncover shadow data across hybrid and multi-cloud environments, detect abnormal access patterns indicating insider threats, and automate compliance mapping for frameworks such as GDPR, HIPAA, PCI-DSS, and SOX. Attendees will also gain visibility into how our platform enables data-aware threat detection that goes beyond traditional SIEM tools.

In addition to product walkthroughs, we’ll be sharing real-world success stories from our customers - including a fintech company that reduced its cloud data risk by 60% in under a month, and a global healthtech provider that cut its audit prep time from three weeks to just two days using Sentra’s automated controls.

Exclusive Experiences for Security Leaders

Beyond the show floor, Sentra will be hosting a VIP Security Leaders Dinner on August 5 - an invitation-only evening of strategic conversations with CISOs, security architects, and data governance leaders. The event will feature roundtable discussions on 2025’s biggest cloud data security challenges and emerging best practices.

For those looking for deeper engagement, we’re also offering one-on-one strategy sessions with our experts. These personalized consultations will focus on helping security leaders evaluate their current DSPM posture, identify key areas of risk, and map out a tailored approach to implementing Sentra’s platform within their environment.

Why Security Teams Choose Sentra

Sentra has emerged as a trusted partner for organizations tackling the challenges of modern data security. We were named a "Customers’ Choice" in the Gartner Peer Insights Voice of the Customer report for DSPM, with a 98% recommendation rate and an average rating of 4.9 out of 5. GigaOm also recognized Sentra as a Leader in its 2024 Radar reports for both DSPM and Data Security Platforms.

More importantly, Sentra is helping real organizations address the realities of cloud-native risk. As security perimeters dissolve and sensitive data becomes more distributed, our platform provides the context, automation, and visibility needed to protect it.

Meet Sentra at Booth 4408

Black Hat USA 2025 offers a critical opportunity for security leaders to re-evaluate their strategies in the face of AI-powered attacks, rising cloud complexity, and increasing regulatory pressure. Whether you are just starting to explore DSPM or are looking to enhance your existing security investments, Sentra’s team will be available for live demos, expert guidance, and strategic insights throughout the event.

Visit us at Booth 4408 to see firsthand how Sentra can help your organization secure what matters most - your data.

Register or Book a Session

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