What we found when we audited an open model with 75 controls.
Real findings. Real numbers. 13 passed, 31 failed, 4 critical.
View ReportThat world ended. Your AI agents now reason, decide, and act on their own. They call APIs, query databases, move money, and talk to other agents while your firewall watches the network and sees nothing wrong.
Legacy security tools audit packets and endpoints. They are structurally blind to what happens inside a reasoning loop. They cannot read agentic intent. They cannot catch a hallucination dressed as a valid API call. They cannot stop an agent that talked itself into a decision no human approved.
Traditional firewalls allow 100 percent of LLM traffic through. Not because they trust it. Because they cannot see it.
Bayora lives inside the semantic loop. We secure behaviors, not just routes.
Autonomy without boundaries is not intelligence. It is exposure. Bayora draws the lines your agents cannot cross and proves they never did.
When your agents collaborate, they whisper to each other in ways no log file captures. Bayora audits every inter agent pathway, stopping recursive loops and prompt cascades before one compromised agent infects the rest.
Before an agent touches your production API or writes to your database, its decision passes through Bayora. Unsafe intent dies at the gate. Safe intent moves in milliseconds.
File access, database queries, system hooks. Every tool your agent reaches for is validated against its sandbox. It goes where you allowed. Nowhere else.
Every intent, output, and validation is cryptographically signed into a tamper proof record. When a regulator asks what your AI did on a Tuesday in March, you hand them proof instead of a shrug.
Toxicity filters, PII scrubbing, brand guidelines, safety policies. Injected live at the gateway. No retraining. No redeployment. New rule at breakfast, enforced by lunch.
Track cost per execution, watch latency in real time, and let intelligent routing pick the right model for every call. Safety and savings from the same gateway.
Bayora deploys as a reverse proxy in front of your models. Every prompt, every agent thought, every tool call passes through before it reaches the LLM or leaves it. Intercept. Validate. Prove. Three verbs standing between you and the headline you never want to read.
Integration is one endpoint change. Your developers keep their stack. Your agents keep their speed. You gain a control plane.
Bayora acts as a secure reverse proxy, intercepting prompt requests, agent thoughts, and API calls from users and systems before they hit the underlying LLMs.
// Bayora Gateway Handshake
const response = await bayora.proxy({
agentId: "customer-finance-v4",
intent: "execute-wire-transfer",
params: { amount: 15000, currency: "INR" }
});We believe data sovereignty is national security. Bayora is engineered, hosted, and operated entirely inside Tier IV Indian datacenters. Your prompts, proofs, and audit trails never cross a border and never fall under foreign jurisdiction. Fully aligned with the DPDP Act, built for the RBI's expectations, and ready for the sovereign decade.
Every audit and every proof is processed inside India's borders. DPDP and RBI alignment by architecture, not by afterthought.
Signatures and audit paths are secured with lattice based post quantum cryptography. The records you sign today stay unbreakable in the world that comes next.
Physically isolated nodes on certified enterprise clouds with real time backups. Your infrastructure never shares a room with your risk.
Every prompt, decision, and response is cryptographically logged and signed. Nothing edited. Nothing lost. Nothing deniable.
Bayora guards the rooms where the stakes are highest.
Your advisory models give financial guidance in real time and the RBI expects you to prove every word was compliant. Bayora audits automated advice as it happens and blocks unauthorized transaction execution with cryptographic guardrails. Audit season becomes a download, not a war room.
Patient data deserves paranoia. Bayora strips PHI at the gateway, validates diagnostic suggestions against clinical boundaries, and keeps HIPAA compliance continuous instead of annual.
Some networks can never touch the internet and never trust a foreign cloud. Bayora deploys air gapped agent networks on classified infrastructure with guaranteed local residency and zero trust permissions all the way down.
One hallucinated refund policy can trend by lunchtime. Bayora kills hallucinated instructions at the semantic border, enforces your brand rules dynamically, and shields internal systems from prompt injection hiding inside customer messages.
Most companies treat compliance as documentation. We compiled it into the gateway. NIST AI RMF, ISO 42001, SOC 2, HIPAA, and DPDP enforced live on every request, so audit readiness is your default state, not your fire drill.
Incorporate the NIST AI Risk Management Framework to govern model outputs. Manage toxicity boundaries and track hallucination rates.
Structured information security management systems designed specifically for artificial intelligence deployments. Documenting governance parameters for agent systems.
Continuous enforcement of infrastructure safety parameters. Ensuring absolute separation of system keys, agent trace logs, and data pipelines.
Enforce automatic runtime anonymization filters. Stripping PII data from prompts and logs to maintain healthcare-level confidentiality.
Ensure sovereign Indian citizen data residency compliance. Localized data isolation and detailed logs of semantic data access requests.
Different departments, unified safety controls. Click on the stakeholders to view how Bayora addresses their specific needs.
Bayora surfaces every active agent, every tool integration, every boundary crossing in one plane. Jailbreaks blocked. Guardrails live on every decision loop. Credentials isolated with zero trust forwarding. Visibility first, then control, then sleep.
Whitepapers, case studies, and safety specifications from the team building the sovereign standard for agentic security.
An in-depth specification detailing lattice-based cryptographic zero-knowledge proofs designed for verify-before-execute state machine models in high-consequence LLM workflows.
Real findings. Real numbers. 13 passed, 31 failed, 4 critical.
View ReportEvaluating potential threat vectors against traditional public key encryption inside long-term model decision repositories.
Download PDFA comparative study on semantic checks vs traditional system prompts in complex multi-agent execution frameworks.
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