Data Loss Prevention and the Cloud/AI Conundrum

Join us for an exciting glimpse into the world of Digal Loss Prevention (DLP) with Safetica. To bring you up to date we will explore the digital science DLP and the use of AI. The Safetica solution utilizes AI to provide wide incident context and proactive protection. It offers features such as data flow inspection, anomaly detection, data discovery with all flavors of data classification like content and context-aware, workspace risk analysis, insider risk detection and management, and wide range of 3rd party integrations and compatibility to ensure detect and respond to workflows in organization’s security stack.

Safetica uses proprietary technology that classifies data, analyses contextual risk, and applies adaptive protection to detect unusual user behavior and automatically respond with tailored security measures.

See what the latest DLP criteria are for the evolving Cloud/AI eco-system with DLP in the areas of:

• Deployment Options: On-premises, cloud-based, virtual, or hybrid setups.
• Platform Support: Compatibility with Windows and MacOS. Close integration with O365 and soon to support Google workspace.
• Supports endpoints and servers.
• Supports SEIM integration to popular solutions like Splunk, SentinelOne, and others.
• Reads and controls various OCR formats, pdfs, jpegs, tifs, etc.
• Easy installation: Can be deployed in less than 10 minutes onto an endpoint and starts working with pre-defined policies.
• Provides useful data on endpoint destinations, applications, and web usage.
• Data in Use: Granular control over file rights, device, and protocol access for sensitive data.
• Data in Motion: Web and email controls to block unauthorized sharing of sensitive data, with integration options.
• Data at Rest: Regular data scanning aligned with policies, plus customizable policy templates for compliance (e.g., HIPAA, PCI).
• Directory Integration: Support for Active Directory, LDAP, and similar systems.
• Enforcement Visibility: Employee alerts and self-remediation tools.
• Centralized Management: Unified dashboard for all deployment forms.

If you think you don’t have a problem, then you fail to identify these DLP AI issues!

Generative AI tools can retain input data, potentially exposing confidential information. For example, entering sensitive project details or customer data into these tools may result in unintended storage on external servers. This creates challenges for compliance with privacy regulations such as GDPR, CCPA, and HIPAA, each aimed at protecting personal or sensitive data. To mitigate risks, businesses must clearly identify and safeguard internal-sensitive data—like proprietary code, strategic plans, financials, and personal information—to avoid accidental exposure.

So join Cloud Security Alliance Delaware Valley and Safetica on Wednesday July 30th at 12noon to 1pm. Get the updates on what your DLP solution needs to have to meet the rapidly changing Cloud/AI ecosystem!

See in action Safetica's Subject Matter Expert (SME) demonstrate how DLP with Artificial Intelligence can address:

1. Stronger State Privacy Laws affecting the data security landscape?
2. How are AI and Machine Learning affecting data protection?
3. What are some real-world examples of sensitive data that can be blocked?
4. Can images and pictures be classified and managed as sensitive data?
5. Can the solution accommodate custom classification using specific keywords or expressions?

Speakers:

• Vic Cleary, Safetica Product Manager
• John Paist, Safetica Senior Security Engineer
• Marc Drapcho, Safetica Eastern US Sales Manager

Cloud Security Alliance Delaware Valley 2025 Charity Support Program

Even Non-Profits help Non-Profits so this year we are asking that you help us help others by supporting us with your attendance and allowing us to share with others. This year we have chosen to help the charity "Shoes that Fit" https://www.shoesthatfit.org/

A percentage of our donation is shared with this charity to spread the good will back to the community for your attendance time.