Neysa & Pipeshift Launch Realtime Inference in India
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NEYSA AEGIS LLM SHIELD
Aegis LLM Shield sits between your users and your AI models. It blocks prompt injection, jailbreaks, redacts PII, and enforces your security policies on every request — without changes to your application code.

THE CHALLENGE
One crafted prompt can override your model’s instructions, extract data, or hijack its behavior entirely. It is the #1 threat to LLM applications according to OWASP.
Sensitive information disclosure moved up to #2 on the OWASP LLM Top 10 for 2025. LLMs with access to PII, financial data, or IP can inadvertently expose it in responses.
~60% of enterprise AI initiatives stall before production due to data privacy and governance concerns. Regulatory frameworks (GDPR, HIPAA, DPDP) now demand enforceable AI safeguards.
Hard-coding safety checks into every app creates fragile, inconsistent protection. Security teams have no central visibility or control over what flows through LLM endpoints.

INTRODUCING NEYSA AEGIS LLM SHIELD
HOW IT WORKS
CAPABILITIES
PLATFORM-NATIVE
Standalone LLM firewalls sit outside your infrastructure. They add a proxy hop, require their own access control, and have no context about your workspace structure or team roles. Aegis LLM Shield is built into the Velocis Developer Hub, the same console where your teams provision compute, deploy models, and manage inference endpoints.
What that means in practice:
Enabling or disabling Shield on any endpoint is a single toggle. No DNS changes, no proxy config, no SDK updates required.
Inherit project and workspace for contextual governance.
Shield status, policy config, and violation logs are visible directly in your endpoint view, alongside endpoint health and deployment info.
Shield follows your existing RBAC model. No separate access control system to set up or maintain.
LLM Shield usage is billed through your existing Velocis statement. No separate vendor invoice.
Secure your LLM app with a simple API call. Get instant security verdicts for prompts and responses across any environment in just few lines of code.
ENTERPRISE-READY

USE CASES
Prevent employees from accidentally leaking PII or proprietary data through AI assistants connected to internal knowledge bases. Enforce topic boundaries and response safety.
Protect end-users from toxic or off-brand responses. Block prompt injection attempts from external users trying to manipulate your AI.
Meet compliance mandates with configurable PII redaction, audit-ready logs, and policy enforcement aligned to GDPR, HIPAA, and India’s DPDP Act.
SEE IT IN ACTION
Walk through provisioning, configuring input and output guardrails, and enabling LLM Shield on a live endpoint. Self-guided. Takes under ten minutes.
