Enterprises are racing to adopt AI-driven solutions — and with that acceleration comes a new wave of security challenges. As organizations expand their AI initiatives across clouds, applications, and business processes, securing this rapidly evolving ecosystem is critical.

That’s why today we’re excited to announce the release of the PointGuard AI Platform version 2.0, the next generation of enterprise AI security.

Following our recent rebranding from AppSOC to PointGuard AI, this launch signals a major leap forward in our mission to help organizations confidently deploy and govern AI at scale.

Securing the Full AI Stack: Why It Matters

PointGuard AI was built with one mission: to protect the full AI and application stack — not just isolated models or agents, but everything connected to them, from APIs to cloud services to underlying business applications.

As AI becomes more deeply embedded across industries, the attack surface expands. New risks such as model vulnerabilities, adversarial attacks, data leakage, and compromised AI agents can threaten not just an application, but entire business operations.

PointGuard AI is the only platform designed to correlate and secure risks across the full AI stack — ensuring that enterprises don’t just discover individual issues but understand how vulnerabilities across AI, applications, and cloud environments intersect.

"AI adoption is skyrocketing, but so are the risks. With PointGuard AI 2.0, we are giving enterprises the visibility, control, and protection they need to deploy AI with confidence," said Pravin Kothari, CEO of PointGuard AI. "This release marks a critical milestone in our mission to secure the AI-powered future."

What’s New in PointGuard AI 2.0?

Version 2.0 builds on our core strengths — AI Discovery, Model Testing, AI Security Posture Management, and Runtime Defense — with important new capabilities and enhancements:

Expanded AI Discovery Across Cloud Environments

The foundation of good security is visibility. With version 2.0, PointGuard AI dramatically expands its AI Discovery capabilities. Organizations can now automatically detect native and third-party AI services running across their cloud environments.

Whether deployed on AWS, Azure, Databricks, or other platforms, hidden or unmanaged AI deployments — often called "shadow AI" — can introduce serious risks. Our enhanced discovery engine helps uncover these blind spots, providing a complete and actionable map of AI assets across the enterprise.

Native Support for Google Cloud Vertex AI

In addition to expanded discovery, PointGuard AI now offers native support for Google Cloud’s Vertex AI. This completes our multi-cloud coverage across AWS, Azure, Databricks, and now GCP.

Organizations that rely on multi-cloud strategies can now apply consistent monitoring, governance, and security policies across all major AI service providers — reducing risk and ensuring compliance wherever AI is deployed.

Enhanced AI Model Testing with Business Context

AI security testing must go beyond technical validation to consider the business context in which AI operates. PointGuard AI 2.0 delivers upgrades to its AI Model Testing capabilities, introducing multi-language support to assess Large Language Models (LLMs) across a range of languages.

Additionally, our platform now automatically pulls contextual data from CMDBs, internal repositories, or third-party platforms to make testing aware of the broader application environment. This ensures that security assessments reflect real-world conditions, not just theoretical model behavior.

The result: smarter, more actionable insights into how AI systems behave — and misbehave — in the field.

General Availability of AI Runtime Defense

Finally, we’re proud to announce the general availability of AI Runtime Defense.

This new capability provides comprehensive protections for live AI environments, including:

• Data protection to prevent unauthorized access or leaks
• AI threat prevention against prompt injection and adversarial attacks
• Anomaly detection for unusual AI behavior
• Observability into live AI interactions across simple and complex deployments

PointGuard AI Runtime Defense can be deployed flexibly to monitor prompts and responses, securing everything from customer-facing chatbots to multi-agent autonomous systems.

Why Enterprises Choose PointGuard AI

Enterprises that are serious about AI innovation know that security cannot be an afterthought.

PointGuard AI 2.0 reflects a deeper understanding of how enterprises operate:

• Complex multi-cloud environments
• Interconnected AI models, agents, and applications
• A need for continuous runtime protection, not just pre-deployment testing

By delivering an integrated platform that covers the full lifecycle of AI — from discovery and testing to posture management and real-time defense — PointGuard AI helps enterprises accelerate innovation while maintaining trust, security, and compliance.