We secure enterprise AI systems against attacks and data leakage.
We measure the attack surface of chatbots, RAG pipelines, and AI agents, then reduce production and human-layer risk with verifiable security controls.
Where does your AI security need begin?
From testing a new LLM application to protecting production traffic, reducing phishing risk, and preparing teams, each need has a clear path.
LLM Pentest & AI Red Teaming
We identify prompt injection, data leakage, and privilege abuse risks across chatbots, RAG pipelines, and AI agents.
Explore LLM pentesting → Production protectionGuardian AI Firewall
Guardian inspects LLM input and output traffic in real time for prompt injection, jailbreaks, and sensitive data leakage.
Explore Guardian → Phishing resilienceAltayPrisma
AltayPrisma measures employee risk with localized scenarios, reports results by department, and connects findings to training.
Explore AltayPrisma → Corporate trainingSecure AI Use
We prepare employees and technical teams to use generative AI with data privacy, shadow AI, and prompt injection risks in mind.
Explore training →Two focused products for AI traffic and human risk.
Guardian protects LLM applications in production. AltayPrisma manages phishing simulations and measures employee resilience. Gözcü and Arena provide the threat data and test scenarios behind both products.
AltaySec Guardian
Guardian is an OpenAI- and Anthropic-compatible LLM security gateway. It inspects model calls for prompt injection, jailbreaks, sensitive data leakage, and unauthorized AI agent actions. Its model-agnostic architecture integrates with existing application flows.
- OWASP LLM01/06/07/08 runtime defense layer
- 18 KVKK PII types masked with checksum validation
- Model-agnostic plug-and-play architecture (OpenAI, Claude, Llama, etc.)
- Enterprise cloud and on-premise deployment options
AltayPrisma
AltayPrisma measures employee risk with localized phishing scenarios covering banking, e-government, logistics, and corporate document workflows. It reports campaign results by department, directs high-risk users to relevant awareness content, and supports enterprise cloud or on-prem deployment.
RESEARCH & THREAT DATA
Research infrastructure that keeps Guardian and AltayPrisma informed by current threats.
AltaySec Gözcü
Collects and classifies Turkish-language LLM threats, prompt injection patterns, and attack examples for Guardian and security assessments.
How Gözcü supports the products →AltaySec Arena
Runs controlled attacker, defender, and judge simulations to generate localized prompt injection and AI agent security data.
Explore the laboratory →AI security expertise demonstrated through products, research, and verifiable technical work.
From the core topic guide and specialist profiles to product work and technical evidence, we keep methods, scope, and primary sources accessible.
AI Security Guide
A practical starting point for AI Security versus AI Safety, LLM attack surfaces, prompt injection, and agent and RAG security.
Open the topic hub → Specialist profileEnes Deniz · AI Security Specialist
One of the specialists who helped establish AI security as a technical field in Türkiye; Co-Founder of AltaySec working across LLM application, prompt-injection, agent, RAG, and AI red and blue teaming security.
Explore the specialist profile → Primary sourcesTechnical Evidence and Publications
Datasets, technical publications, accepted contributions, and direct primary sources supporting product, research, and engineering work.
Open the evidence center →Research that informs real product and security decisions.
Technical guidance on AI red teaming, LLM firewalls, enterprise chatbot testing, prompt injection, KVKK, OWASP LLM Top 10, and AI agent security.
What Is AI Red Teaming?
How LLM, RAG, and AI agent assessments differ from classic pentesting, with OWASP, MITRE ATLAS, and NIST coverage.
What Is an LLM Firewall?
Runtime prompt injection detection, sensitive data controls, policy enforcement, and the architectural difference from a WAF.
Enterprise Chatbot Security Testing
Scope, methodology, vulnerability classes, reporting, and compliance mapping for production LLM assistants.
KVKK and Personal Data in LLM Systems
Prompt, log, RAG, and fine-tuning leak surfaces, Turkish PII detection, and a practical compliance checklist.
Let us clarify the right AI security
scope for your organization.
Tell us about your environment and we will recommend the appropriate scope for LLM pentesting, Guardian, AltayPrisma, or corporate training.
Contact Information
Share your requirement briefly and we will respond with the most relevant product or service scope.