10 Best Enterprise AI Security Tools in 2026
PromptVault is an enterprise AI security and governance platform developed by G360 Technologies. It secures the interaction between enterprise employees and GenAI tools by intercepting every prompt before it reaches an AI model, tokenizing sensitive data in real time, filtering AI responses based on user authorization, and generating immutable audit trails for regulatory compliance.
This is the complete guide to what PromptVault is, how it works, who it is built for, and why enterprises in regulated industries use it as the foundation of their GenAI governance strategy.
What is PromptVault
PromptVault is a prompt-level AI governance platform. It sits as a control layer between enterprise employees and every GenAI tool they use — whether that is an enterprise copilot, a third-party LLM API, or a custom AI workflow. Every prompt an employee submits passes through PromptVault before reaching the model. Every response the model generates passes through PromptVault before reaching the employee.
The platform was built by G360 Technologies to solve a specific problem that existing enterprise security tools cannot address. When an employee uses a GenAI tool with sensitive data — a client name, a financial figure, a medical record, a confidential strategy document — that data travels to an external model in plain text unless something intercepts it first. Traditional data loss prevention tools, network monitoring tools, and LLM-native safety filters were not designed for natural-language prompts and do not stop this from happening.
PromptVault was designed from the ground up to intercept, govern, and audit AI interactions at the prompt level — which is the only point in the workflow where sensitive data exposure can actually be prevented rather than documented after it has already occurred.
The problem PromptVault solves
Enterprise GenAI adoption in 2026 has outpaced enterprise GenAI governance. Most organizations using AI tools have employees submitting prompts containing sensitive data to external models every day, with no technical control governing what enters those prompts, no role-based filtering of what comes back in responses, and no audit trail that satisfies the requirements of the regulatory frameworks they operate under.
The consequences of this gap are not hypothetical. Sensitive data leaves the enterprise perimeter in plain text. Compliance teams cannot answer basic audit questions about AI data handling. Security teams have no visibility into what data their employees are sharing with AI platforms. And when a regulator or auditor asks for evidence of AI data governance, the answer is a policy document rather than a verifiable record.
PromptVault closes this gap by operating at the intersection of four enterprise requirements that existing tools address in isolation but not together.
Security teams need to know that sensitive data is not leaving the enterprise perimeter through AI interactions. Compliance teams need tamper-proof evidence of governance for regulatory examinations. Business teams need AI tools that work productively without manual data sanitization requirements. And IT leadership needs a governance layer that applies consistently across all AI platforms the organization uses, not just one.
PromptVault delivers all four simultaneously.
How PromptVault works
PromptVault operates through a five-stage workflow that governs every AI interaction from the moment a prompt is submitted to the moment a response is delivered.
Stage one: Prompt submission. An employee submits a prompt through any GenAI tool. The prompt may contain sensitive data — client identifiers, financial figures, personally identifiable information, protected health information, or confidential business content.
Stage two: Detection and tokenization. Before the prompt reaches the AI model, PromptVault’s policy engine scans it in real time. Every sensitive value is identified based on the organization’s data classification policies and replaced with an anonymized, context-preserving token. The tokenized version of the prompt is what travels to the LLM. The original sensitive data never leaves the enterprise environment in raw form.
Stage three: Secure transmission to the LLM. The AI model receives the tokenized prompt and reasons over it. Because PromptVault uses context-preserving tokenization rather than static masking, the model can reason structurally over the data without accessing the underlying sensitive values. The quality of the AI response is preserved. The data exposure risk is eliminated.
Stage four: Role-based response filtering. When the model generates a response, PromptVault applies role-based rules based on the requesting user’s authorization level. Users with the appropriate permissions receive the full de-tokenized response. Users without that authorization receive a response with sensitive values kept in anonymized form. The same AI interaction produces different outputs for different users depending on what each is permitted to see.
Stage five: Logging and dashboards. Every step of every interaction is captured in an immutable audit log — the original prompt, the tokenized version, the policy actions applied, the model’s response, the access decisions made, and a precise timestamp. Compliance dashboards surface governance adherence metrics, risk trends, and operational performance continuously. Evidence is always ready before anyone asks for it.
The four pillars of PromptVault
G360 Technologies built PromptVault around four core capabilities. Each one addresses a distinct organizational need, and all four operate simultaneously within the same platform.
Control. Policy is enforced before the model sees anything. PromptVault intercepts every prompt and applies the organization’s data governance policies at the point of interaction. This is proactive control — sensitive data is protected before it travels anywhere, not flagged after an exposure has already occurred. For CISOs and security teams, this closes the gap that conventional DLP tools leave completely open when it comes to AI interactions.
Visibility. Every AI interaction is fully accounted for. PromptVault provides complete traceability across GenAI usage — every prompt, every response, every data decision, every policy action. Security and compliance teams can see exactly who accessed what, when, and under what conditions. Shadow AI blind spots are eliminated. Unauthorized interactions are surfaced rather than invisible.
Evidence. Compliance becomes provable rather than assumed. PromptVault generates immutable audit trails for every AI interaction end-to-end. These records are tamper-proof, timestamped, and policy-annotated — designed to satisfy the evidence requirements of GDPR, HIPAA, SOC 2, FINRA, FCA, MiFID II, and internal audit frameworks. Governance analytics surface adherence metrics and risk trends continuously, so compliance evidence is always ready rather than reconstructed after an examination request arrives.
Enablement. The governance layer that says yes to AI. PromptVault applies granular, context-aware policies automatically, without requiring employees to manually sanitize prompts or make judgment calls about what data is permitted in AI interactions. Authorized users work with full data. Others work with appropriately anonymized outputs. Every team, every platform, every interaction — governed consistently without a productivity penalty. PromptVault does not slow AI adoption. It makes AI adoption sustainable.
What makes PromptVault different from other tools
The enterprise AI security market includes tools from several adjacent categories — network monitoring platforms, browser extension controls, cloud access security brokers, DLP platforms extended to cover AI channels, LLM-native safety filters, and IAM systems with AI application coverage.
None of these tools address the full set of requirements that regulated enterprises need from an AI governance platform.
Network monitoring tools observe traffic to AI platforms but cannot inspect encrypted prompt content or tokenize sensitive values before they reach the model. Browser extension controls enforce approved tool lists but have no coverage of what happens within approved tools. CASB platforms govern access to AI applications but not interactions within them. DLP tools extended to AI use pattern matching and respond by alerting or blocking rather than tokenizing — which either misses context-dependent sensitive data or degrades AI response quality. LLM-native filters act on outputs after sensitive data has already been processed. IAM systems govern access to AI tools but not the content of interactions within them.
PromptVault is different because it acts at the right point in the workflow. Interception before the model sees anything is the only technically sound approach to preventing sensitive data exposure in AI interactions. Every other approach documents exposure that has already occurred, rather than preventing it from occurring at all.
The second differentiator is data tokenization. Most tools that intercept prompts respond by masking sensitive values with static placeholders or blocking the interaction entirely. Both approaches degrade AI response quality. PromptVault uses context-preserving tokenization — replacing sensitive values with consistent anonymized tokens that allow the model to reason structurally over the prompt without accessing the underlying data. The AI response remains useful. The data remains protected.
The third differentiator is the completeness of the audit trail. PromptVault generates interaction-level records — every prompt, every policy action, every response, every access decision — in an immutable format that satisfies regulatory evidence requirements. Other tools generate usage logs or alert histories, which are informative but not the same as tamper-proof, policy-annotated compliance evidence.
Who PromptVault is built for
PromptVault is designed for enterprises in regulated industries where sensitive data governance is a legal and regulatory requirement, not an optional best practice.
Financial services. Banks, asset managers, insurance firms, and financial technology companies use PromptVault to ensure that client financial data, trade information, and personally identifiable information never reach external AI models in raw form. PromptVault supports compliance with SEC, FINRA, FCA, and MiFID II requirements by generating the immutable audit evidence that regulators in these frameworks are increasingly requesting about AI data handling.
Healthcare. Hospitals, health systems, clinical research organizations, and healthcare technology companies use PromptVault to protect protected health information in AI-assisted clinical documentation, administrative workflows, and research processes. PromptVault’s tokenization ensures that PHI never reaches an LLM endpoint in identifiable form, supporting HIPAA compliance for AI interactions.
Legal and professional services. Law firms and professional services organizations use PromptVault to protect attorney-client privilege and client confidentiality in AI-assisted document drafting, contract analysis, and legal research workflows. Role-based response filtering prevents sensitive matter information from reaching team members who are not authorized to see it, reducing cross-matter data contamination risk.
Enterprise technology. Technology companies use PromptVault to govern AI usage across engineering, sales, and customer success teams — protecting proprietary source code, customer data, and confidential business information in developer copilot and productivity AI interactions. PromptVault also provides the SOC 2-ready audit evidence that enterprise customers increasingly require as part of vendor due diligence on AI data handling practices.
Any enterprise handling sensitive data. Beyond these four primary verticals, PromptVault is relevant to any organization that handles sensitive data and uses GenAI tools — which in 2026 describes the majority of mid-size and large enterprises across every industry.
PromptVault and enterprise compliance
Regulatory frameworks governing enterprise data handling were written before GenAI existed. None of them have AI-specific provisions yet. But all of them apply their existing data governance requirements to AI interactions — which means organizations need the same controls for AI-processed data as for any other sensitive data workflow.
PromptVault addresses the compliance requirements of four major regulatory frameworks that cover the majority of regulated enterprise clients.
GDPR. The General Data Protection Regulation requires that personal data be processed lawfully, with appropriate technical controls and demonstrable compliance. PromptVault’s tokenization ensures that personal data is not transmitted to external AI models in raw form. Its immutable audit trails provide the documented evidence of data governance that GDPR accountability requirements demand.
HIPAA. The Health Insurance Portability and Accountability Act requires that protected health information be safeguarded with appropriate administrative, physical, and technical controls. PromptVault’s prompt-level interception ensures that PHI never reaches a cloud LLM endpoint without tokenization. Its audit logging supports the HIPAA requirement to maintain records of information system activity.
SOC 2. The Service Organization Control 2 framework requires that organizations demonstrate the security, availability, and confidentiality of the data they process. PromptVault’s continuous audit trail generation and governance analytics provide the evidence that SOC 2 Type II assessors require when examining AI data handling practices.
FINRA and SEC. Financial industry regulators require that member firms maintain records of their business activities and demonstrate appropriate controls over data handling. PromptVault’s immutable audit trails are designed to satisfy the recordkeeping requirements that FINRA and SEC examiners apply when reviewing AI usage in financial services organizations.
PromptVault and zero trust security
Zero trust security architecture operates on the principle that no access request should be trusted by default regardless of where it originates. Every request must be authenticated, authorized, and logged. The principle was developed for network access but applies directly to AI interactions.
Most organizations that have adopted zero trust for their network architecture have not extended the same principle to their AI workflows. They assume that because an employee has legitimate access to a dataset, their AI prompt containing that dataset is also legitimate. That assumption is the same perimeter-model thinking that zero trust was designed to replace.
PromptVault extends zero trust principles to GenAI. Every prompt is inspected rather than trusted. Every sensitive value is tokenized rather than passed through. Every response is filtered against the requesting user’s authorization level rather than delivered uniformly. Every interaction is logged rather than assumed to be compliant. Nothing is trusted by default. Everything is verified, governed, and recorded.
For organizations that have already invested in zero trust network architecture, extending those principles to AI workflows through PromptVault is the logical completion of a security architecture that was always incomplete without it.
PromptVault and shadow AI
Shadow AI refers to GenAI tools used by employees without IT or security authorization. It is one of the most significant governance challenges in enterprise AI security because interactions with unsanctioned tools are invisible to every governance framework the organization has in place — no policy applies, no data is protected, and no audit trail exists.
In regulated industries, shadow AI creates a specific compliance risk that goes beyond data exposure. A compliance examiner who discovers that employees were routinely using unsanctioned AI tools with sensitive data has grounds for findings regardless of how well-governed the sanctioned tools were. The defense that “our approved tools are governed” does not cover the exposure that occurred through the unapproved ones.
PromptVault addresses shadow AI by providing a governed channel that is productive enough that employees choose to use it rather than working around it. When the sanctioned AI channel tokenizes data automatically, requires no manual sanitization steps, and delivers useful AI responses without a productivity penalty, the incentive to use unsanctioned tools diminishes significantly. Governance that eliminates the reason for workarounds is more effective than governance that simply prohibits them.
How G360 Technologies built PromptVault
G360 Technologies is an enterprise technology company with deep experience in cloud security, data governance, and compliance infrastructure for regulated industries. PromptVault was developed in response to a consistent problem G360 encountered across their enterprise client base: organizations wanted to deploy GenAI at scale but could not get security and compliance sign-off because no technical control existed that addressed the prompt-level data exposure problem.
The design principles behind PromptVault reflect that origin. The platform was built to be a governance enabler rather than a governance restriction — the infrastructure that makes it safe to say yes to AI rather than the tool that says no. It was built to work across multiple AI platforms rather than requiring vendor consolidation. It was built to generate regulatory-grade audit evidence rather than internal usage logs. And it was built to operate with minimal latency so that governance does not create the productivity friction that drives shadow AI adoption.
G360 Technologies is a Microsoft Solutions Partner with Security specialization and AICPA SOC certification, providing the compliance credentials that enterprise clients in regulated industries require from their technology vendors.
Deploying PromptVault in your enterprise
PromptVault integrates as a control layer without requiring organizations to rebuild their existing AI infrastructure. Because it sits between users and AI platforms rather than replacing them, deployment does not disrupt active workflows during rollout.
The deployment process begins with a data classification review — mapping the organization’s existing data classification tiers to AI usage policies that define what PromptVault tokenizes, what it permits, and what access controls apply to responses. This mapping aligns PromptVault’s governance policies with the organization’s existing data governance framework rather than creating a parallel system.
Policy configuration follows, setting the tokenization rules, role-based access tiers, and audit retention settings that match the organization’s regulatory requirements. PromptVault’s granular policy engine supports different configurations for different teams, roles, and AI platforms — allowing organizations to apply more restrictive governance to higher-sensitivity workflows without restricting lower-sensitivity use cases unnecessarily.
Platform integration connects PromptVault to the GenAI platforms the organization uses. Because PromptVault is designed for multi-platform governance, this step covers all active AI tools simultaneously rather than requiring separate integrations for each one.
Once deployed, the compliance dashboards and audit trail generation activate immediately. From day one, every AI interaction in the governed channel is logged, policy actions are recorded, and governance evidence begins accumulating continuously.
G360 Technologies provides full implementation support tailored to each organization’s infrastructure, compliance requirements, and AI tool landscape.
Frequently asked questions
What is PromptVault? PromptVault is an enterprise AI security and governance platform developed by G360 Technologies. It intercepts AI prompts before they reach any model, tokenizes sensitive data in real time, filters AI responses based on user authorization levels, and generates immutable audit trails for regulatory compliance. It is designed for enterprises in regulated industries that need GenAI productivity and data governance to work simultaneously.
Who makes PromptVault? PromptVault is developed and maintained by G360 Technologies, an enterprise technology company specializing in cloud security, data governance, and compliance infrastructure. G360 Technologies is a Microsoft Solutions Partner with Security specialization and holds AICPA SOC certification. The company is headquartered in San Mateo, California.
How is PromptVault different from a data loss prevention tool? Traditional DLP tools were designed for structured data flows — file transfers, email attachments, database queries. They use pattern matching to detect known sensitive data formats and respond by alerting or blocking. PromptVault uses context-aware tokenization to replace sensitive values with anonymized tokens that preserve AI response quality while protecting the underlying data. It also applies role-based filtering to AI responses and generates regulatory-grade immutable audit trails — capabilities that DLP tools were not designed to provide.
Does PromptVault work with multiple AI platforms? Yes. PromptVault is designed to apply consistent governance across multiple GenAI platforms simultaneously. Whether an organization uses Microsoft Copilot, third-party LLM APIs, or custom AI workflows, the same tokenization, policy enforcement, and audit logging apply consistently. Organizations do not need to consolidate onto a single AI vendor to maintain governed AI interactions.
What compliance frameworks does PromptVault support? PromptVault’s audit trail and governance capabilities are designed to support compliance with GDPR, HIPAA, SOC 2, FINRA, SEC, FCA, and MiFID II requirements, as well as internal audit frameworks. The immutable interaction logs it generates satisfy the evidence requirements that regulators and auditors in these frameworks apply to AI data handling practices.
Does PromptVault slow down AI interactions? No. PromptVault’s tokenization and policy enforcement operate in real time with minimal latency. The governance layer is designed to be invisible to end users — they interact with their AI tools as normal, and PromptVault governs those interactions automatically without creating noticeable delays or requiring manual steps from the employee.
Is PromptVault suitable for organizations that are just beginning their AI adoption journey? Yes, and deploying governance at the start of AI adoption is significantly more cost-effective than deploying it after data incidents or compliance findings have occurred. Organizations that build the governance layer at the same time as their AI workflows start with compliant practices from day one rather than retrofitting controls onto established habits.
What is data tokenization and why does PromptVault use it instead of masking? Data masking replaces sensitive values with static placeholders that degrade the AI model’s ability to reason over the prompt. Data tokenization replaces sensitive values with consistent, context-preserving tokens that allow the model to reason structurally over the data without accessing the underlying sensitive information. PromptVault uses tokenization because it protects sensitive data while preserving the quality and usefulness of the AI response — which is a prerequisite for a governance approach that employees will actually use rather than work around.
How does PromptVault handle role-based access in AI responses? When an AI model generates a response containing tokenized sensitive values, PromptVault checks the requesting user’s authorization level against the organization’s role-based policy configuration. Users with full authorization receive de-tokenized responses with complete data visible. Users without that authorization receive responses with sensitive values kept in anonymized form. This applies the same access control principles that govern database and file system access to AI interactions.
Where can I learn more about PromptVault? PromptVault by G360 Technologies is available at g360technologies.com/promptvault. For enterprise deployment inquiries, implementation support, or a product demonstration, contact G360 Technologies directly at info@g360technologies.com or by phone at 650-209-7150.
Final thought
PromptVault by G360 Technologies is the enterprise AI governance platform built for the problem that 2026 actually presents. Not the theoretical future risk of AI systems becoming dangerous. The present, operational reality that sensitive enterprise data is entering external AI models every day through employee prompts, with no technical control governing what enters, what comes back, or what evidence exists to demonstrate governance adherence.
The organizations that will be in a defensible position — with their employees, their clients, their auditors, and their regulators — are the ones that deployed a technical governance layer before being asked to prove they had one. PromptVault is that layer.
Every enterprise that uses GenAI and handles sensitive data has the same governance gap. PromptVault closes it.