Following CrowdStrike's acquisition of Pangea AI Guard in September 2025, organizations are evaluating alternative solutions for AI security and data protection. The acquisition expanded CrowdStrike's AI Detection and Response portfolio.
As sensitive data moves through employees, AI agents, SaaS applications, endpoints, email, browsers, and MCP servers, organizations need security controls across these workflows. This guide examines eight AI security platforms, including Nightfall AI, a unified AI data security platform that provides real-time visibility and control over sensitive data movement across supported integrations.
Key Takeaways
- Independent platforms provide flexibility: Organizations seeking alternatives can consider solutions that integrate across diverse technology stacks.
- Cross-surface coverage matters: Platforms offering AI data security across SaaS, endpoints, email, browsers, AI agents, and MCP servers support consistent data governance.
- AI-native detection supports precision: ML and LLM-based classification help identify sensitive data using content and contextual signals, supporting more informed security decisions.
- Real-time control supports active protection: Platforms that can block, coach, redact, and remediate through supported integrations provide actionable data exfiltration prevention.
- Per-user pricing supports budget planning: Nightfall's annual per-user licensing provides a structured approach to budgeting for AI data security.
1. Nightfall AI
Nightfall AI delivers a unified AI data security platform that governs how data is accessed, moved, and exposed across human activity and AI agent workflows. The platform provides real-time visibility and control over sensitive data movement across SaaS applications, endpoints, email, browsers, AI tools, AI agents, and MCP servers.
Backed by Bain Capital Ventures, Venrock, WestBridge Capital, and cybersecurity leaders including Kevin Mandia, Freddy Kerrest, and Doug Merritt, Nightfall serves more than 100 organizations.
How Nightfall AI Works
Nightfall's AI data security platform uses one detection engine across supported workflows where sensitive data moves:
- Detection Engine: Nightfall reports 95% detection precision out of the box using AI-native classification, including ML detectors and LLM-based contextual analysis
- Comprehensive Coverage: Unified security spans 12+ SaaS applications via API, endpoint agents for Windows and macOS, browser controls, email security, AI applications, IDE hooks, and MCP servers
- Real-time Controls: Block, coach, override, redact, delete, revoke, quarantine, and encrypt through supported, integration-specific enforcement and remediation workflows
- AI Agent Security: MCP security includes local stdio and remote HTTP/SSE workflows, MCP discovery, risk scoring, and direct IDE hooks for Cursor, VS Code, and Claude Code
Operational Benefits and Illustrative Savings
Nightfall supports security operations through contextual detection, unified policy management, and automated response workflows:
- AI-native investigation capabilities help security teams prioritize and analyze sensitive data incidents
- Contextual incident information helps teams understand who or what moved sensitive data, which workflows were involved, and which response actions are available
- Supported remediation workflows include blocking, coaching, redaction, and other policy-driven actions based on the relevant integration
- Nightfall consolidates SaaS, endpoint, and AI data security into one platform, helping reduce operational complexity
Pricing Structure
Nightfall offers per-user annual pricing:
- Foundation Edition: Annual per-user licensing for AI-native data security across supported SaaS applications, endpoints, email, browsers, and employee AI application usage
- Premier Edition: Extends Foundation with AI agent and MCP security, including supported IDE hooks, local and remote MCP discovery, shadow MCP detection, Claude's Compliance API monitoring, and OpenTelemetry audit trails
- Data Discovery and Classification Add-On: Includes 150 GB of data-at-rest scanning, with additional annual data pack options of 1 TB, 3 TB, 5 TB, and 20 TB
Privacy and Compliance
Nightfall helps organizations identify, classify, and control sensitive information, including personally identifiable information (PII), protected health information (PHI), payment card data, secrets, credentials, and financial information.
The platform's data discovery and classification capabilities support privacy, security, and compliance programs through policy enforcement, remediation, and relevant audit evidence.
2. CrowdStrike Falcon Guardian (AIDR)
CrowdStrike Falcon Guardian is the company's current AI Detection and Response offering following its acquisition of Pangea AI Guard in September 2025. Introduced on September 1, 2026, Falcon Guardian extends AI agent visibility, runtime detection, and policy enforcement through the Falcon platform.
Primary Focus
Falcon Guardian provides AI Detection and Response capabilities integrated within CrowdStrike's endpoint security and threat intelligence infrastructure, with emphasis on prompt injection defense, AI agent workflow security, and runtime enforcement.
Key Features
- Prompt Injection Defense: Detection and enforcement capabilities for supported direct and indirect prompt injection scenarios within AI interactions and agent workflows
- AI Gateway and Agent-Level Hooks: Gateway inspection and policy enforcement for supported AI interactions, prompts, and agent activity
- AI Kill Switch: Runtime controls for terminating unauthorized AI agents through the gateway, with additional endpoint enforcement capabilities planned
- Platform Integration: Native connection to Falcon endpoint protection, identity security, and cloud workload protection
- Broader Falcon Integration: Falcon Guardian operates within the Falcon platform, alongside separately available Charlotte AI and AgentWorks capabilities for security investigation and automation
Coverage Considerations
Falcon Guardian operates within CrowdStrike's Falcon platform, combining endpoint-based AI agent security with supported AI gateway and runtime enforcement capabilities. The solution reached general availability in September 2026.
Nightfall Differentiation
Nightfall AI provides unified AI data security with real-time control over sensitive data movement across SaaS, endpoints, email, browsers, AI agents, and MCP servers through a single detection engine.
The platform can operate alongside CrowdStrike as a complementary data security layer, supporting policy enforcement and remediation across supported integrations without requiring replacement of the broader Falcon platform.
3. Cyberhaven
Cyberhaven provides a unified AI and data security platform spanning endpoints, SaaS, cloud, and AI workflows, with particular emphasis on data lineage tracking and insider risk investigation.
Primary Focus
Cyberhaven focuses on understanding how data moves and transforms throughout organizational workflows through data lineage tracking, enabling forensic investigation and contextual policy enforcement.
Key Features
- Data Lineage Tracking: Traces data provenance across transformations, documenting where information originated, how it changed, and where it traveled
- AI Risk IQ: Provides risk scoring for AI applications and agents using factors such as data sensitivity, model integrity, compliance characteristics, access controls, and security infrastructure
- Linea AI: Supports automated investigation, risk prioritization, and security analysis using data context and workflow information
- Cross-Surface Security: Endpoint, SaaS, browser, and AI agent coverage with data lineage, content classification, and contextual policy enforcement
Coverage Considerations
Cyberhaven combines data lineage, insider risk investigation, and data security controls across endpoints, SaaS, browsers, and AI agent workflows.
Nightfall Differentiation
Nightfall AI delivers AI-native detection and contextual classification to identify sensitive data movement across human and AI agent workflows.
The platform provides real-time enforcement across supported integrations with granular controls including blocking, coaching, redaction, and automated remediation workflows. Its approach emphasizes policy decisions at the point of data movement.
4. Lasso Security
Lasso Security provides an AI security platform that includes purpose-built security for Model Context Protocol workflows, AI agent tool calls, and MCP server interactions. The company offers an open-source MCP gateway under the MIT license alongside commercial platform capabilities.
Primary Focus
Lasso Security emphasizes MCP security and AI agent governance, with a focus on controlling tool calls and preventing credential exposure through MCP traffic.
Key Features
- Open-Source MCP Gateway: MIT-licensed gateway for MCP traffic inspection available to the community
- Tool-Call Policy Enforcement: Granular control over which MCP servers and tools AI agents can invoke
- Secrets Masking: Detection and masking of API keys, credentials, and sensitive data in MCP traffic before reaching downstream systems
- Risk Classification: MCP server risk scoring based on permissions, actions, descriptions, and related security characteristics
Coverage Considerations
Lasso Security offers an MIT-licensed open-source MCP gateway alongside commercial AI security capabilities. Its gateway supports MCP traffic inspection, sensitive-data masking, and configurable security controls, while its broader platform supports AI interaction governance and runtime security workflows.
Nightfall Differentiation
Nightfall AI provides MCP security as part of a unified AI data security platform that also covers SaaS applications, endpoints, email, and browsers.
The Premier Edition includes direct IDE hooks for Cursor, VS Code, and Claude Code that enforce policies on supported prompts, MCP tool calls, tool responses, and shell commands, plus Claude's Compliance API monitoring and OpenTelemetry audit trails for supported workflows.
5. Palo Alto Networks Prisma AIRS
Palo Alto Networks Prisma AIRS provides AI model security, supply chain protection, runtime security, and AI agent governance across enterprise AI environments following the July 2025 acquisition of Protect AI.
Primary Focus
Prisma AIRS emphasizes model security, supply chain risk management, and AI agent governance across the AI development and deployment lifecycle.
Key Features
- Model Scanning: Detection of vulnerabilities, backdoors, and malicious content in AI models before deployment
- AI Supply Chain Security: Identification of risks in model dependencies and third-party AI components
- Agent Security: Governance capabilities for AI agent workflows within enterprise environments
- Red Teaming: Automated testing of AI systems for security vulnerabilities
Coverage Considerations
Prisma AIRS offers modular AI security capabilities, including runtime protection, AI supply chain security, and AI red teaming. Its licensing uses Software NGFW credits, and deployments can integrate with Palo Alto Networks' broader security portfolio.
Nightfall Differentiation
Nightfall AI focuses on data-centric security with real-time control over sensitive data movement across human and AI agent workflows.
The platform provides unified detection and contextual policy enforcement across supported SaaS, endpoint, email, browser, AI application, and MCP workflows. Its data exfiltration prevention capabilities support policy controls at the moment sensitive data moves.
6. Check Point AI Security
Check Point announced its acquisition of Lakera in September 2025 and completed the transaction in October 2025. Lakera's AI security technology expanded Check Point's capabilities for prompt injection defense, LLM application security, and AI agent runtime protection.
Primary Focus
Check Point's AI security portfolio spans employee AI usage, LLM application protection, AI agent security, and runtime threat detection. Its capabilities include prompt injection defense, jailbreak prevention, contextual data controls, and governance across supported enterprise AI workflows.
Key Features
- Prompt Injection Detection: Identification and blocking of prompt injection attacks targeting LLM applications
- Jailbreak Prevention: Protection against attempts to bypass AI system safety controls
- Content Filtering: Detection of harmful or inappropriate content in AI interactions
- Platform Integration: Connection to Check Point's network and endpoint security infrastructure
Coverage Considerations
Check Point's AI security portfolio includes prompt injection defense, LLM interaction security, contextual DLP, and governance across supported browser, desktop, and AI agent workflows.
Nightfall Differentiation
Nightfall AI provides a unified AI data security platform across human and AI agent workflows using a single detection engine.
The platform delivers AI-native classification and contextual detection to identify sensitive data, with integration-specific enforcement actions including blocking, coaching, redaction, permission revocation, and automated remediation across supported workflows.
7. F5 AI Guardrails
F5 acquired CalypsoAI in September 2025, adding runtime AI security guardrails to its application delivery and security portfolio. The integration brings inference-time security controls into F5's enterprise offering.
Primary Focus
F5 AI Guardrails provides model-agnostic runtime security for AI models and agents, including content inspection, threat detection, and policy enforcement across supported AI interactions.
Key Features
- Runtime Guardrails: Real-time security controls for AI inference operations
- Model Protection: Safeguards for AI models during production use
- Traffic Inspection: Analysis of AI application traffic for security threats
- Application Integration: Connection to F5's broader application delivery infrastructure
Coverage Considerations
F5 AI Guardrails operates within F5's broader application delivery and security ecosystem. Its runtime security capabilities include AI interaction inspection, data security controls, and agent-focused safeguards, with complementary AI security testing available through F5 AI Red Team.
Nightfall Differentiation
Nightfall AI delivers unified AI data security across supported SaaS applications, endpoints, email, browsers, AI agents, and MCP servers.
The platform supports rapid deployment through SaaS API integrations and MDM-managed endpoint agents, with real-time enforcement and remediation capabilities across supported integrations.
8. SentinelOne Prompt Security
SentinelOne completed its acquisition of Prompt Security in September 2025, expanding its Singularity platform with runtime security capabilities for generative AI applications, employee AI usage, developer tools, and agentic workflows.
Primary Focus
SentinelOne Prompt Security provides runtime security for employee AI usage, developer tools, AI applications, and agentic workflows within the Singularity platform ecosystem.
Key Features
- GenAI Application Security: Security controls for enterprise generative AI deployments
- Prompt-Time Controls: Security enforcement at the moment of AI interaction
- Endpoint Integration: Connection to SentinelOne's EDR and endpoint protection platform
- Threat Detection: Identification of AI-specific attack patterns and vulnerabilities
- MCP and Agent Workflow Controls: Discovery, visibility, and policy controls for supported Model Context Protocol interactions and agentic workflows
Coverage Considerations
SentinelOne's Prompt Security capabilities combine AI interaction security, sensitive-data controls, and agentic workflow governance within the Singularity ecosystem. Supported capabilities include AI application monitoring, prompt-time enforcement, and MCP-related security controls.
Nightfall Differentiation
Nightfall AI provides unified AI data security with a single detection engine operating across SaaS applications, endpoints, browsers, email, AI apps, AI agents, and MCP servers.
The platform combines AI-native classification, contextual enforcement, and real-time data movement controls across supported workflows, with a focus on governing sensitive data accessed by both human users and autonomous AI agents.
Why Nightfall AI Stands Out for AI Data Security
Unified AI Data Security Across Human and Agent Workflows
Nightfall AI provides unified AI data security with a single detection engine operating across supported SaaS applications, endpoints, browsers, email, AI apps, AI agents, and MCP servers. The platform combines AI-native classification, contextual enforcement, and real-time data movement controls. Its data exfiltration prevention capabilities help security teams govern sensitive data accessed and moved by employees and AI agents.
95% Detection Precision Reduces Alert Fatigue
Nightfall reports 95% detection precision out of the box. Its data discovery and classification capabilities use contextual AI and ML-based models to identify sensitive information, including PII, PHI, credentials, secrets, and financial data. This approach helps security teams focus on relevant incidents, prioritize investigations, and apply policies across supported workflows. Nightfall's ROI calculator also models potential investigation-time savings using configurable assumptions.
AI Agent and MCP Security Across Local and Remote Workflows
The Premier Edition delivers AI agent and MCP security capabilities, including direct IDE hooks for Cursor, VS Code, and Claude Code. These hooks support policy enforcement on prompts, MCP tool calls, tool responses, and shell commands across supported workflows. Nightfall's MCP security capabilities include discovery of local stdio MCP servers, remote HTTP/SSE MCP servers, and shadow MCP installations, along with risk scoring. Integration with Claude's Compliance API provides monitoring of Claude Enterprise conversations, files, projects, and activity feeds. Supported OpenTelemetry workflows provide additional audit information for agent activity.
Rapid Deployment Across SaaS and Endpoints
Nightfall supports rapid deployment through SaaS API integrations and MDM-managed endpoint agents. Supported SaaS connections can be established within minutes, and endpoint security can be rolled out using compatible device management platforms. Full deployment timelines depend on integration requirements, environment readiness, and policy configuration.
Per-User Pricing Supports Budget Planning
Nightfall offers annual per-user pricing through its Foundation and Premier editions, with final pricing based on user count, selected capabilities, and data volume. Foundation includes AI-native data security across supported SaaS, endpoint, email, browser, and AI application workflows. Premier adds dedicated AI agent, IDE, and MCP security capabilities.
Independent Platform Architecture
Nightfall provides a unified AI data security platform with consistent policy management and control over sensitive data movement across supported integrations. The platform operates across diverse technology stacks and connects with existing enterprise systems, including security operations and AI application security workflows.
Proven Enterprise Scale with Documented Results
More than 100 organizations run on Nightfall. The platform supports operational efficiency through unified DLP, AI governance, contextual investigation, and policy enforcement workflows. Nightfall's customer stories include examples of sensitive-data detection, incident response, and remediation in enterprise environments.
Frequently Asked Questions
What happened to Pangea AI Guard?
CrowdStrike acquired Pangea Cyber Corporation in September 2025, expanding its AI Detection and Response portfolio. CrowdStrike subsequently introduced Falcon Guardian in September 2026 as its AI Detection and Response offering. Organizations comparing AI security platforms can consider different approaches to sensitive-data governance, runtime enforcement, and AI agent workflows.
How do AI data security platforms differ from traditional DLP solutions?
Traditional DLP platforms use classification, policy rules, and other detection techniques to control sensitive information across supported channels. AI data security expands this focus to include autonomous agents, MCP servers, coding assistants, and connected AI workflows. Nightfall combines AI-native detection with contextual policy enforcement across supported human and agentic workflows, helping organizations control sensitive data movement in real time.
What should organizations consider when evaluating AI security platforms?
Important considerations include supported workflows, sensitive-data classification, real-time enforcement actions, deployment architecture, integrations, investigation capabilities, and licensing. AI agent environments introduce additional considerations involving MCP traffic, developer tools, agent identity context, and runtime policy controls. Nightfall addresses these needs through a unified AI data security platform centered on sensitive-data movement across humans and agents.
Can organizations deploy multiple AI security solutions together?
Yes. Organizations can use complementary AI security and cybersecurity platforms together. For example, an organization might use Nightfall AI for data exfiltration prevention and contextual policy enforcement across supported human and AI agent workflows while maintaining endpoint threat detection and response capabilities. These platforms address related security requirements through different architectures and can operate alongside each other within an enterprise security environment.
How quickly can organizations deploy AI data security capabilities?
Deployment timelines depend on the environment, integrations, and configuration requirements of each implementation. Nightfall AI supports rapid implementation through SaaS API integrations and MDM-managed endpoint agents. Supported SaaS connections can be established within minutes, and endpoint deployment can use compatible device management platforms. Full implementation timelines depend on the organization's environment, integration requirements, policy configuration, and rollout scope.
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