AI agents are expanding the attack surface. Know what to prepare for.
Set AI governance security guardrails to operate agents securely at scale
Control the data agents access, enforce what they can do, and respond when their behavior goes off policy
Faster innovation, less risk, and audit-ready assurance
Combine AI data security with machine identity management and AI behavioral threat indicators
Data security
Reduce exposure across AI pipelines
AI agents increase data exposure fast. Discover and classify sensitive data, then enforce protection so agents access only what’s authorized—across hybrid environments, and as agents act, adapt, and scale.
Identity and access
Reduce risk across AI workloads
AI workflows demand context-aware identity and access controls to shrink attack surfaces and stop lateral access. Apply modern IAM to block unauthorized access, remove standing privileges, and secure AI workloads.
Security operations
Run securely with behavioral analytics
AI agents operate with valid credentials. But their actions can still be unsafe. Continuous operational insights help you detect risky behavior, correlate subtle anomalies, and catch AI-enabled threats early.
AI risk management
Operate agents at scale
Have confidence that data, identities, and autonomous actions remain governed with measurable risk reduction and audit-ready assurance.
Explore customer success stories
Find out how leading organizations use our solutions
Meet our enterprise AI security solutions
OpenText™ Core Data Discovery & Risk Insights (Voltage)
Discover, analyze, and manage sensitive data across your entire estate
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OpenText™ Data Privacy & Protection Foundation (Voltage)
Secure data at scale with proven format-preserving data protection
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OpenText™ Core Identity Foundation
Lower identity and access management infrastructure TCO
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OpenText™ Identity Governance (NetIQ)
Protect data with simplified compliance and access review processes
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OpenText™ Core Threat Detection and Response
Identify hard-to-detect threats before they can cause damage
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Frequently asked questions
OpenText applies continuous data security posture management and automated data protection directly across AI agent data pipelines. This ensures AI agents can only access authorized data and that sensitive information is consistently protected as agents act, learn, and interact across hybrid environments.
By enforcing data minimization and policy-driven protection—such as masking, tokenization, and encryption—OpenText limits the amount of sensitive data AI agents can access or generate. This reduces overexposure and shrinks the blast radius of prompt injection, unintended outputs, and downstream AI misuse.
Automated identity governance gives you full visibility and control over who (or what) can access AI systems. OpenText IAM automates entitlement reviews, access certifications, and lifecycle processes for humans, bots, and AI services—eliminating manual errors, reducing orphaned accounts, and strengthening audit readiness. The result is a consistent, compliant access posture that scales with evolving AI deployments.
OpenText IAM embeds modern, context-aware identity and access controls across every AI touchpoint, including models, pipelines, and services. By enforcing least-privilege access, requiring adaptive authentication, and tightly governing identities for humans, bots, and AI services, OpenText ensures that only authorized users and systems can interact with sensitive AI resources. This reduces the risk of unauthorized access, lateral movement, and misuse of AI workloads.
OpenText applies continuous behavioral analytics across the organization, establishing a unique baseline for how each entity and agent normally authenticates, accesses data, and executes tasks. Though agent activity often appears legitimate, unsupervised machine learning identifies subtle deviations, correlates risky behaviors, and surfaces high-fidelity, context-rich alerts. This allows teams to detect compromised agent credentials or unsafe autonomous actions in near real time.
By treating AI agents like insider identities OpenText helps prioritize behavior that signals misuse, compromise, or unintended action often missed by rules. Analysts receive clear explanations of why activity is risky, aligned to recognized attack patterns, enabling faster triage and containment. This accelerates response and ensures SecOps can safely support AI at scale without adding operational burden.
*Gartner, Top Trends in Cybersecurity for 2026, By Alex Michaels, Will Candrick, Chiara Girardi, Arthur Sivanathan, Jeremy D’Hoinne, Pete Shoard, Mark Horvath, Nathan Harris, 14 January 2026.
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