Tool overview
Straiker is listed under AI Governance Safety & Evaluation AI tools.
What is Straiker?
Straiker helps enterprises find AI applications and agents, evaluate their attack surface, run automated adversarial testing, and protect live systems. Its platform combines AI asset discovery, security posture management, agentic red teaming, runtime guardrails, and risk visibility for security teams.
Best for
Enterprise security teams protecting production AI applications and autonomous agents
Who is it for?
Decision note
Confirm covered models and agents, testing depth, runtime latency, cloud and data boundaries, integrations, deployment, support, incident workflows, pilot terms, and the current enterprise quote.
Key features
AI application and agent asset discovery
Agentic red-team and attack simulation
Runtime prompt and data-exfiltration protection
AI security posture and risk visibility
Guardrails for production AI interactions
Enterprise assessment and remediation workflows
Use cases
Discovering unapproved enterprise AI assets
Testing agents before production release
Blocking prompt injection and data leakage
Governing AI application security posture
Pros
- Covers pre-production and runtime security
- Designed specifically for AI and agent risks
- Offers an official risk-assessment route
Cons
- Commercial pricing requires sales engagement
- Security findings still require expert triage
- Deployment depends on enterprise architecture
Limitations
Straiker can miss novel attacks, produce false positives, or disrupt legitimate model behavior. Security teams must validate findings, define test authorization, protect sensitive data, tune controls, monitor production impact, and maintain broader application security practices.
Pricing details
Billing options
Pricing note
Straiker uses a sales-led enterprise model and does not publish a stable starting amount. An official free AI risk assessment is available, but it is not an ongoing product plan or a general self-service trial.
Supported languages
- English
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