Secure the future of your enterprise with a complete AI TRiSM platform
designed for autonomous agents and intelligent applications
of enterprises are exploring AI applications
of enterprises unprepared for AI security challenges
of enterprises investing in AI security in 2025
AI models are used everywhere, forming complex, hard-to-monitor interactions. When you add agents on top, they operate unseen, connecting to sensitive data and applications without oversight. These blind spots leave enterprises exposed.
While GenAI can be unpredictable, autonomous agents multiply the risk, with tenuous MCP connections across systems. Without real-time guardrails, a single flaw can cascade into enterprise-wide consequences at machine speed.
The rapid spread of GenAI has outpaced traditional governance and autonomous agents accelerate the problem, moving faster than policies can adapt. One mistake can expose sensitive data, trigger penalties, damage trust, and derail compliance.
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Accelerate AI adoption without sacrificing trust or compliance. PointGuard AI safeguards generative models and sensitive data with continuous discovery, security guardrails, and governance controls—so you can move fast, stay compliant, and protect your enterprise from costly risks.
Turn agentic AI from a risk into a growth driver, with real-time guardrails, continuous governance, and proactive testing—ensuring autonomous agents act safely, protect data, and stay aligned with your enterprise goals at machine speed.
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Agentic ai
AI agents like autonomy, but your business needs control. PointGuard AI secures autonomous AI agents at every stage—discovering where they operate, inventorying connections, testing resilience, and enforcing guardrails through policy controls. By governing the Model Context Protocol (MCP) and related integrations, you can ensure agents stay aligned with business intent and act safely across enterprise systems.
Discover, inventory, and manage AI agent activity
Continuously test agent resilience and behavior
Enforce guardrails and policy controls for MCP and APIs
Visibility
Visibility is the first step to security. Continuous discovery identifies every AI project, model, dataset, notebook, and endpoint across your enterprise—no matter where they reside. By exposing shadow activity and unapproved assets, you gain the clarity needed to manage risk, enforce governance, and scale AI responsibly.
Inventory all AI projects, models, datasets, and endpoints
Detect risky or unapproved models and agents
Eliminate blind spots with continuous discovery
hardening
A strong security posture ensures AI remains trustworthy. Proactive security hardens your environments against misconfigurations, malware, and evolving threats before they escalate. Continuous posture management delivers resilience and compliance, giving your enterprise the confidence to innovate with AI while keeping risks firmly under control.
Prevent misconfigurations and insecure setups
Block malware and other emerging threats
Continuously harden environments against evolving risks
testing
Adversarial testing is no longer optional—it’s essential. AI systems behave probabilistically, which means vulnerabilities are unpredictable and evolving. PointGuard’s red teaming uncovers these risks before they reach production, probing agents with advanced attacks, testing integrations, and identifying where trust can be broken. We help organizations validate resilience and strengthen defenses continuously
Simulate attacks on AI models and agents
Detect prompt injection and jailbreak scenario
Validate security of SaaS and data connections
Guardrails
AI delivers value in motion—but runtime behavior and data pipelines are prime risk points. Guardrails keep models and agents safe, intercepting harmful prompts, responses, and traffic in real time. Data governance protects pipelines, prevents leaks, and automates compliance—keeping AI predictable, resilient, and aligned without slowing innovation.
Validate prompts, responses, and agentic traffic
Protect sensitive data from leaks and poisoning
Enforce policies with blocking, masking, or redaction
Applications
AI applications don’t exist in isolation—they rely on sprawling supply chains of code, models, libraries, and third-party services. Every dependency is a potential entry point for attackers. PointGuard continuously secures these environments, monitoring from code repositories to deployment pipelines, correlating risks, and enabling fast, automated remediation across the entire application stack.
Monitor dependencies and repositories for vulnerabilities
Correlate findings across apps, models, and infrastructure
Remediate risks quickly with automated workflows
Market leaders from Gartner have included PointGuard AI (as AppSOC) in multiple reports on the emerging AI security space.
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