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ziriz.ai Platform Overview
BOLA & BFLA Detection — Runtime Enforcement
AI Agentic Security — Protecting LLMs & Agents
ziriz.ai in the News
Recognized by India's top government bodies, research institutions, and global accelerator programs.
ziriz.ai Wins National Cybersecurity Grand Challenge 2.0 — API Security Category
Muziririz Technologies (ziriz.ai) was selected as the winner of India's Cybersecurity Grand Challenge 2.0 in the API Security category, organized by the Ministry of Electronics and Information Technology (MeitY) and the Data Security Council of India (DSCI).
ziriz.ai Graduates from IISc Cyseck HACK Cybersecurity Acceleration Programme
ziriz.ai was selected and successfully graduated from the Cyseck deep-tech cybersecurity acceleration programme at the Indian Institute of Science (IISc), Bengaluru — one of Asia's top research universities — validating the technical depth of the ziriz.ai runtime platform.
ziriz.ai Selected for LAUNCH Founder University by Jason Calacanis
ziriz.ai was selected for the competitive pre-accelerator cohort of LAUNCH Founder University — the program led by legendary Silicon Valley angel investor Jason Calacanis — recognizing ziriz.ai as a breakout deep-tech security startup.
ziriz.ai Delivers API Security Training to India's Central Bureau of Investigation
ziriz.ai's technology team was engaged to deliver advanced API security training to the technology wing of India's Central Bureau of Investigation — underscoring the operational credibility and national security relevance of the ziriz.ai platform.
From Our Team
🏆 Incredibly proud to share that ziriz.ai has been selected as the Winner of India's Cybersecurity Grand Challenge 2.0 in the API Security category — organized by MeitY & DSCI, Govt. of India. This validates everything our team has built: a patent-pending runtime security platform that sees what no other tool can see. Grateful for the incredible support from the Indian cybersecurity ecosystem. This is just the beginning. 🇮🇳 #APISecurity #Cybersecurity #GovtOfIndia #MeitY
The conversation around MCP Security has finally arrived in enterprise security circles — and the stakes are higher than most CISOs realize. When an AI agent can invoke any MCP tool with its service account credentials, you don't just have an API security problem. You have an agentic insider threat operating at machine speed, inside your perimeter, using legitimate credentials. This is what ziriz.ai was built to solve. Runtime. Not discovery. Not traffic mirrors. #MCPSecurity #AgenticAI #LLMSecurity #APISecurity
We just completed our IISc Cyseck HACK Acceleration Programme — an incredible experience working alongside India's top cybersecurity researchers. The depth of validation we received for our runtime instrumentation architecture from the IISc faculty was remarkable. Building deep-tech security in India, for the world. The patents are filed. The platform is live. Next: enterprise customers and global expansion. 🎓 #IISc #Cybersecurity #DeepTech #StartupIndia
Hot take: BOLA is still the most underdefended vulnerability in enterprise API stacks in 2025. Traffic mirrors can't detect it. API gateways can't detect it. WAFs definitely can't detect it. And AI agents are about to make BOLA attacks 100× more frequent because agents make thousands of API calls per session at machine speed. If you're not doing runtime correlation of user identity against object ownership at the API layer, you are exposed. End of debate. #BOLA #APISecurity #OWASPAPITop10
Honoured to be selected for LAUNCH Founder University by Jason Calacanis — one of the most respected angel investors and accelerator builders globally. Competing alongside exceptional founders from around the world, representing Indian deep-tech cybersecurity on a global stage. ziriz.ai is building the security infrastructure for the next decade of AI-native enterprise software. 🚀 #LAUNCHAccelerator #FounderUniversity #DeepTech #Cybersecurity
The question every CISO needs to ask their security team in 2026: "What happens when our AI agent is prompt-injected and uses its legitimate API credentials to exfiltrate data?" If the answer isn't "our runtime security layer detects and blocks the tool invocation before it completes" — you have a gap. This is the agentic threat model that every enterprise security stack needs to account for now, not when it happens. #PromptInjection #AgenticSecurity #CISO #CyberSecurity #LLMSecurity
Validated by India's Premier Security
& Research Institutions
MeitY · DSCI Cybersecurity Grand Challenge 2.0
National recognition from India's Ministry of Electronics & IT and the Data Security Council of India for breakthrough runtime API security innovation.
// Grand Challenge Winner · Govt. of IndiaIISc · Cyseck HACK Acceleration Programme
Graduated from IISc Bengaluru's deep-tech cybersecurity acceleration programme — validating the scientific rigor of the ziriz.ai runtime instrumentation platform.
// IISc CySeCK · HACK Accelerator GraduateLAUNCH Founder University · Jason Calacanis
Selected for the pre-accelerator cohort by Jason Calacanis — one of the most competitive global programs for B2B SaaS and deep-tech security startups.
// Pre-Accelerator Cohort · San FranciscoSecurity Research & Insights
From Disclosure to National Crisis: What the CBSE OSM Fiasco Reveals About India's API Security Blind Spot
Advancing Bot Protection in the Age of Automation
The Importance of API Discovery in Modern Application Security
Key Trends in Application Security
Frequently Asked Questions
What is API security and why does it matter in 2026?
API security protects the interfaces through which applications communicate. In 2026, APIs carry over 83% of all internet traffic — and AI agents now generate the majority of API calls. API security must cover not just traditional OWASP API Top 10 threats, but also AI agentic attacks, MCP server abuse, and prompt injection chains that operate at machine speed.
What is AI agentic security?
AI agentic security protects autonomous AI agents that make API calls, invoke MCP tools, and execute multi-step actions without human intervention. Traditional WAFs and API gateways cannot attribute agent actions to their source LLM decision or detect prompt injection in an agent's context — agentic security requires runtime instrumentation at the process layer.
What is MCP security and why is it critical?
MCP (Model Context Protocol) is the standard by which AI agents invoke enterprise tools and data sources. MCP servers expose functions — database queries, email sends, code execution — to AI agents. Without runtime enforcement, any AI agent with access to an over-permissioned MCP server can exfiltrate data or execute unauthorized actions with its legitimate credentials.
How does ziriz.ai detect BOLA without false positives?
ziriz.ai instruments the application's runtime at the process layer — observing both the authenticated identity (from JWT claims) and the object being accessed (from the database query) in the same execution context. This authoritative correlation eliminates false positives: ziriz.ai only fires when it observes an actual authorization mismatch, not when it sees a URL pattern that looks suspicious.
Does ziriz.ai require agents, sidecars, or traffic mirrors?
No. ziriz.ai deploys a single DaemonSet per Kubernetes node (or single binary for VM/bare-metal deployments). It instruments workloads at the runtime layer without per-pod sidecars, without traffic mirrors, and without certificate injection for TLS visibility. One deployment covers every workload on that node instantly.
How does ziriz.ai compare to Salt Security or Traceable?
Salt Security and Traceable use traffic mirroring and cloud-scale data lake analysis — they observe API traffic from the network perimeter and fire alerts after analysis. ziriz.ai instruments workloads at the runtime layer — seeing inside encrypted traffic, attributing calls to workload identities, and enforcing inline before actions complete. The architectures are fundamentally different in what they can see and how fast they can enforce.
Find Out What Your Security Stack Can't See
Get a free ziriz.ai API Risk Assessment — shadow APIs, MCP server exposure, agentic AI blind spots, OWASP gaps, and bot risk. Branded PDF report within 72 hours. No traffic mirrors, no code changes, no commitment required.
No commitment · No agents · OWASP API Top 10 + MCP Exposure + Agentic Surface + Bot Risk covered
// Official Recognition
Ministry of Electronics & Information Technology · Govt. of India