Enkrypt AI
Security controls for AI apps, agents, models, prompts, and data exposure.
What is Enkrypt AI?
Enkrypt AI is an AI security platform focused on protecting AI applications and models from risks such as prompt injection, unsafe outputs, data leakage, and policy violations. It is relevant to business buyers because AI adoption creates new control gaps: employees connect models to customer data, agents take actions, and vendors need proof that AI workflows are monitored and governed.
Security, compliance, trust, identity, privacy, and risk management platforms for businesses.
See the full Security & Compliance guide to compare more tools, buyer criteria, and related workflows.
Use cases to evaluate
Test AI applications for prompt injection, jailbreaks, and unsafe behavior before launch
Monitor production AI outputs for policy, privacy, or compliance issues
Create guardrails for employees and agents using LLMs with business data
Give security reviewers evidence that AI risks are being managed
Fit to evaluate
Companies deploying customer-facing AI assistants, copilots, or agents
Security and compliance teams asked to approve AI workflows without slowing adoption
Product teams building AI features that need guardrails, testing, and monitoring
Businesses handling sensitive customer, legal, financial, or regulated data in AI systems
Business fit
Right for you if AI tools are moving from experiments into production workflows that touch customers, data, or regulated decisions. Enkrypt AI is not a replacement for broad security hygiene; it should sit alongside access controls, vendor review, logging, and clear ownership for AI incidents.
How to evaluate Enkrypt AI
Use this category when security reviews, compliance evidence, or access controls are slowing deals or operations.
Confirm the exact workflow
Map Enkrypt AI to one concrete workflow first, such as test ai applications for prompt injection, jailbreaks, and unsafe behavior before launch. Avoid buying before the owner, trigger, output, and success metric are clear.
Check category fit
Compare evidence collection, access controls, integrations, and audit workflows.
Compare practical alternatives
Compare Enkrypt AI with other Security & Compliance vendors before committing to a contract or migration.
Validate cost and rollout effort
Enkrypt AI does not publish simple self-serve pricing. Expect a sales-led plan based on deployment scope, AI applications protected, usage volume, and security requirements. Also confirm implementation time, support needs, and whether the technical setup matches your team.
Compare Enkrypt AI with alternatives
Use this quick comparison before booking demos or moving data into a new system.
| Primary workflow | Test AI applications for prompt injection, jailbreaks, and unsafe behavior before launch, Monitor production AI outputs for policy, privacy, or compliance issues |
|---|---|
| Best-fit team | Companies deploying customer-facing AI assistants, copilots, or agents, Security and compliance teams asked to approve AI workflows without slowing adoption |
| Implementation effort | Technical setup and maintenance profile |
| Pricing check | Contact sales |
| Closest alternatives | Other Security & Compliance tools |
Enkrypt AI pricing
| Model | Contact sales |
|---|---|
| Snapshot | Enkrypt AI does not publish simple self-serve pricing. Expect a sales-led plan based on deployment scope, AI applications protected, usage volume, and security requirements. |
| Checked |
Common questions about Enkrypt AI
What is Enkrypt AI?
Enkrypt AI is an AI security platform focused on protecting AI applications and models from risks such as prompt injection, unsafe outputs, data leakage, and policy violations. It is relevant to business buyers because AI adoption creates new control gaps: employees connect models to customer data, agents take actions, and vendors need proof that AI workflows are monitored and governed.
What is Enkrypt AI used for?
Common use cases: Test AI applications for prompt injection, jailbreaks, and unsafe behavior before launch; Monitor production AI outputs for policy, privacy, or compliance issues; Create guardrails for employees and agents using LLMs with business data; Give security reviewers evidence that AI risks are being managed.
How much does Enkrypt AI cost?
Enkrypt AI does not publish simple self-serve pricing. Expect a sales-led plan based on deployment scope, AI applications protected, usage volume, and security requirements.
Who is Enkrypt AI best for?
Enkrypt AI fits Companies deploying customer-facing AI assistants, copilots, or agents, Security and compliance teams asked to approve AI workflows without slowing adoption, Product teams building AI features that need guardrails, testing, and monitoring, Businesses handling sensitive customer, legal, financial, or regulated data in AI systems. Right for you if AI tools are moving from experiments into production workflows that touch customers, data, or regulated decisions. Enkrypt AI is not a replacement for broad security hygiene; it should sit alongside access controls, vendor review, logging, and clear ownership for AI incidents.