Forcepoint

AI Data Security 📍 Austin, TX Est. 1994

Cybersecurity company providing data-first security with AI-powered DLP, insider threat, and web security.

Based in Austin, TX, Forcepoint offers its Forcepoint ONE as a solution for organizations navigating the complexities of data loss prevention tailored for AI interactions and model outputs. The platform is positioned within the broader AI Data Security category, where AI Security Intelligence tracks 43 companies building specialized capabilities.

Established in 1994, Forcepoint is a mature technology company that has expanded into AI security, bringing an established customer base and enterprise credibility to this emerging category.

Why Watch This Company

In a market where data is simultaneously AI's greatest asset and its most significant liability, Forcepoint offers a focused approach to data loss prevention tailored for AI interactions and model outputs. As regulatory requirements tighten and enterprise AI deployments scale, solutions that can protect data without degrading model performance will command significant market attention.

📅
Founded
1994
📍
Headquarters
Austin, TX
🛡
Category
AI Data Security
Key Product
Forcepoint ONE
Forcepoint ONE
Cybersecurity company providing data-first security with AI-powered DLP, insider threat, and web security.
AI Data Security Landscape
AI Data Security →
AI Data Security addresses one of the most fundamental challenges in enterprise AI adoption: protecting the data that trains, tunes, and powers AI systems without crippling their utility. This category spans the full data lifecycle — from training data curation and privacy-preserving computation to real-time data loss prevention for AI interactions and post-deployment data governance.
43 companies tracked in this category

Key questions to evaluate any AI Data Security vendor — including Forcepoint:

Can the platform discover and classify sensitive data flowing into AI training pipelines and inference endpoints?
Does the solution support privacy-enhancing technologies like differential privacy, federated learning, or homomorphic encryption?
How does the vendor prevent AI-specific data leakage scenarios such as model memorization, training data extraction, or prompt-based exfiltration?
Is the platform compatible with major cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI) and self-hosted model deployments?

Deep-dive intelligence profiles with full market analysis, development timelines, and product breakdowns.

📊 Funding History & Investment Rounds
👤 Executive Team & Key Hires
🎯 Competitive Positioning Matrix
📡 Signal Tracking — M&A, Product, Partnerships
📈 Quarterly Revenue & Growth Metrics
🔗 Supply Chain & Integration Mapping

Full Intelligence Profile

Access complete funding data, executive profiles, competitive positioning matrix, signal tracking, and strategic analysis.

Request Full Access →
Category Peers — AI Data Security

42 other companies in this category

Explore the Full Database

206 companies across 10 categories — the most comprehensive AI security company tracker.

Browse All Companies →