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Prompt Security AI Red Teaming
What Prompt Security AI Red Teaming is
Prompt Security AI Red Teaming helps organizations examine homegrown AI applications before release and continue checking them after deployment. Its automated red-team process probes for prompt injection, jailbreaks, prompt leaks, data privacy risks, privilege escalation, harmful content, denial of wallet or service, and potential brand-reputation damage. Findings receive risk scores and supporting evidence, with remediation recommendations to guide fixes. Continuous evaluations are available to identify drift over time.
The service links testing with runtime safeguards. It can block adversarial prompts, scrub sensitive outputs, and convert red-team findings into production guardrails for AI applications. Prompt Security also governs employee, developer, application, and autonomous-agent use of AI, including named support for GitHub Copilot, Cursor, and Claude Code. The platform is described as fully LLM-agnostic and can be delivered as SaaS or on-premises. Listed platforms are web and self-hosted.
Prompt Security is built into SentinelOne’s Singularity Platform, where AI governance and risk visibility share a console with endpoint, cloud, identity, and data security. Deployment is described as taking minutes, with one-line code deployment for AI application security and no infrastructure changes or added latency. Pricing is available on request, and the page invites prospective customers to book a demo.
Who it suits
It suits organizations testing internally developed AI applications before shipping, especially teams responsible for employee, developer, application, or agent AI use. It also fits buyers wanting red-team findings connected to runtime controls and continuous evaluations.
What it does well
- Automated tests cover prompt injection and jailbreaks
- Risk-scored findings include evidence and remediation guidance
- Continuous evaluations can detect risk drift
- Runtime controls block prompts and scrub sensitive outputs
- Available as SaaS or on-premises
- LLM-agnostic platform supports named coding assistants
What to know first
- Pricing requires a request
- The offering is presented for organizations securing AI use
- Deployment choices may require self-hosted or SaaS planning
Getting started
- Open the Prompt Security AI Red Teaming website
- Book a demo request
- Choose SaaS or on-premises delivery
- Deploy the AI application security capability with one line of code
- Connect supported AI code assistants or applications
- Run pre-production red teaming and review findings
Verdict
Choose Prompt Security AI Red Teaming if your organization needs pre-release AI attack testing plus runtime guardrails. Its broad threat coverage, evidence-based findings, and continuous evaluations support an ongoing security workflow. Look elsewhere if you need a published price.
Questions
What does Prompt Security AI Red Teaming test?
It tests for prompt injection, jailbreaks, prompt leaks, data privacy risks, privilege escalation, harmful content, denial of wallet or service, and brand-reputation damage.
Which deployment options are available?
Prompt Security describes SaaS and on-premises delivery. Listed platforms are web and self-hosted.
How much does it cost?
Pricing is on request. The page provides a demo-request path rather than a stated product price.
Can it protect applications after testing?
Yes. It can block adversarial prompts, scrub sensitive outputs, and turn findings into production guardrails.
Which coding assistants are supported?
The page names GitHub Copilot, Cursor, and Claude Code.
Is the platform tied to one large language model?
Prompt Security describes the platform as fully LLM-agnostic.
Facts from Prompt Security AI Red Teaming's own pages
- Attack coverage
- The listed test risks include prompt injection, jailbreaks, prompt leaks, privilege escalation, data privacy risks, harmful content, brand reputation damage, and denial of wallet or service. · prompt.security, 9 Oct 2026
- Audience
- The product is presented for organizations securing AI use by employees and developers, homegrown AI applications, and autonomous agents. · sentinelone.com, 9 Oct 2026
- Continuous evaluation
- Prompt Security says continuous evaluations can detect drift over time. · prompt.security, 9 Oct 2026
- Deployment
- The product page says deployment takes minutes and requires no complex integrations or infrastructure changes. · sentinelone.com, 9 Oct 2026
- Deployment options
- Prompt Security says it can be delivered as SaaS or on-premises, depending on customer needs. · prompt.security, 9 Oct 2026
- Deployment speed
- The AI application security page says deployment takes one line of code, with no infrastructure changes or added latency. · sentinelone.com, 9 Oct 2026
- Integrations
- The page names GitHub Copilot, Cursor, and Claude Code as AI code assistants supported by Prompt Security. · sentinelone.com, 9 Oct 2026
- LLM compatibility
- Prompt Security describes its platform as fully LLM-agnostic. · prompt.security, 9 Oct 2026
- Platform integration
- Prompt Security is built into SentinelOne’s Singularity Platform, with AI governance and risk visibility managed in the same console as endpoint, cloud, identity, and data security. · sentinelone.com, 9 Oct 2026
- Pre-production testing
- The product runs AI red teaming before deployment and provides risk scoring, evidence, and remediation guidance. · prompt.security, 9 Oct 2026
- Pricing availability
- The red teaming page offers a demo request and does not state a product price. · prompt.security, 9 Oct 2026
- Red teaming
- It automatically tests homegrown AI applications for prompt injection, jailbreaks, data exposure, harmful content, and unsafe agent behavior. · sentinelone.com, 9 Oct 2026
- Remediation
- It provides remediation recommendations and pairs red teaming with homegrown AI application protection to move from exposure discovery to runtime protection. · prompt.security, 9 Oct 2026
- Runtime protection
- The broader AI application security offering can carry red teaming findings into runtime guardrails and inspect prompts and responses in real time. · sentinelone.com, 9 Oct 2026
- Scale
- The platform page says Prompt Security monitors and governs more than 15,000 AI tools and services. · sentinelone.com, 9 Oct 2026
- Security and compliance
- SentinelOne states that it has ISO 27001:2022, ISO 27017:2015, and ISO 27018:2019 certifications and that its Singularity Platform High has FedRAMP High authorization. · sentinelone.com, 9 Oct 2026
- Support path
- The product page invites prospective customers to book a demo. · prompt.security, 9 Oct 2026
- Testing workflow
- The product supports pre-production red teaming, risk-scored findings with evidence, and continuous evaluations to detect drift over time. · prompt.security, 9 Oct 2026
- Threat coverage
- The listed AI risks include prompt injection, jailbreaks, prompt leaks, data privacy risks, privilege escalation, harmful content, denial of wallet or service, and brand reputation damage. · prompt.security, 9 Oct 2026
- What it does
- Prompt Security’s automated AI red teaming tests homegrown AI applications for vulnerabilities such as prompt injection, data exposure, and unsafe agent behavior. · prompt.security, 9 Oct 2026
- Who it is for
- The AI red teaming offering is described for organizations testing homegrown AI applications before shipping them. · prompt.security, 9 Oct 2026
Where Prompt Security AI Red Teaming stands on Freedom251
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