AI Security Engineer
AI Security Engineer Stack
Audits large language models for prompt injection vulnerabilities, implements guardrails, and monitors production AI endpoints for security breaches.
6 tools0Loving this stack?
AI Security Engineer
AI Security Engineer Stack
Each stage transforms your work — output of one feeds the next.
1Software Testing
Replaces days of manual red teaming
PPromptfoo
Input
A newly deployed LLM endpoint awaiting safety evaluation
AI process
Generates adversarial prompts to test for jailbreaks and data leakage risks
Output
A vulnerability report detailing prompt bypass failure rates
Replaces days of manual red teaming
output becomes next input
2Coding
Cuts incident discovery time by 90%
LLangSmith
Input
A vulnerability report detailing prompt bypass failure rates
AI process
Analyzes telemetry to flag anomalous execution paths and unauthorized data access
Output
Real-time alerts for suspicious prompt patterns
Cuts incident discovery time by 90%
output becomes next input
3Cybersecurity
Prevents immediate threat escalation automatically
HHiddenLayer
Input
Real-time alerts for suspicious prompt patterns
AI process
Evaluates request vectors to dynamically block model inversion and abuse attacks
Output
Dropped malicious payloads with zero downtime for users
Prevents immediate threat escalation automatically
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Loved by 618 people
Loved by 618 people
1
Software Testing
2 toolsShow alternatives
Promptfoo for running automated adversarial tests to find vulnerabilities·Protect AI for scanning ml environments for pipeline security risks
Free
4.7
Open-source CLI and library for evaluating LLM prompts and models.
- Systematic prompt testing
- Catch prompt regressions
- CI/CD integration
100% Free and open-source
new
Freemium
4.6
Comprehensive AI/ML security platform to secure AI systems and machine learning code.
- AI model vulnerability scanning
- MLSecOps pipeline integration
- Jupyter Notebook security checks
Open-source tools available, custom enterprise platform
2
Coding
2 toolsShow alternatives
LangSmith for tracing execution paths to audit unexpected agent behavior·Helicone for monitoring llm endpoints for suspicious token consumption
popular
Freemium
4.8
Platform for debugging, testing, and evaluating LLM applications.
- Deep LangChain integration
- Prompt evaluation datasets
- Tracing for complex chains
Free developer tier, paid tiers for teams
Helicone
YCFreemium
4.8
Open-source LLM observability platform with prompt tracking.
- Open-source observability
- Prompt caching to save costs
- Detailed request logging
Free up to 100k requests/mo, Pro at $50/mo
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