HPE and Daxa Partner to Build Secure AI Factories

Enterprises are racing to adopt Generative AI, but traditional AI security methods fall short. Most filters act only after the LLM has already processed sensitive context. By then, your confidential information has already been exposed.

To solve this, HPE and Daxa are partnering to deliver Secure AI Factories: a proactive, shift-left approach to AI data security that protects information before it becomes model context.

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Why Traditional AI Security Fails

Connected coding agents accelerate development but also expand the attack surface. Traditional controls can’t keep pace with risk from these agents, which are already inside the enterprise. Proven exploits have leaked sensitive IP, opened covert supply chain channels - and unsupervised agent actions have even deleted production databases.

Filters outputs after exposure, rather than preventing leaks upfront

Relies on probabilistic prompt filtering that can be bypassed

Offers little visibility into how enterprise data is used inside AI pipelines

Why Traditional Governance Isn’t Enough

Connected assistants supercharge dev velocity, but they also expand your attack surface. Developers may unknowingly transmit sensitive code, exceed RBAC boundaries, or trigger compliance violations. Autonomous agents add operational risk when unsupervised actions touch critical systems.

Secrets & IP leaks to external models

Data overreach beyond role/project context

Autonomous agents making unsafe changes

Pebblo Answer

MCP-Native Security

Govern data and tool access at the protocal level. Pebblo MCP validates permissions and sanitizes payloads before they ever reach your AI assistants

Agent Behavior Controls

Policy based guardrails prevent unsafe autonomous actions and contain misbehaving agents before they impact systems or codebases

Data Loss Prevention

Real-time inspection blocks secrets, credentials and proprietary code from leaving your environment, without slowing developers down

Injection & Supply-Chain Defense

Detect prompt/code injection patterns and vet third party MCP servers to reduce supply chain risk in your dev tool stack

// Benefits

The Shift-Left Approach to AI Protection

HPE and Daxa are embedding security at the data layer, before information reaches the LLM. This ensures sensitive data never becomes model context in the first place.

Key principles of shift-left security:

Filter before ingestion, not after

Deterministic access controls at the data layer

Reasoning-driven retrieval based on user intent

Never rely on prompts for security

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Solutions Delivered Through the Partnership

Safe Agents

Protect enterprise data from the risk of exposure or even catastrophic damage by increasingly powerful and embedded AI agents, such as AI coding assistant

Safe Inference

Reasoning-driven retrieval with anomaly detection to ensure context is aligned with user intent and enterprise policy.

Safe Connectors

Deterministic data filtering before LLM ingestion, keeping malicious or sensitive data out of the pipeline.

// Proven outcomes

Financial Services - Trading Platform Development

Protected proprietary trading algorithms from model exposure while keeping Cursor-based assistance for non-sensitive code. AI velocity maintained; IP safeguarded.

0 source leaks

Full AI audit trail

No workflow changes

Healthcare Technology-HIPAA-Compliant Development

PHI never reaches external models. Teams use Copilot for general development while Pebblo enforces HIPAA-aligned policies and auditability.

PHI redaction on

HIPAA Controls

Faster releases

Enterprise Software - Global Dev Teams

Unified policy across geos, tools, and the SDLC. Consistent governance for Cursor, Copilot, and MCP-connected systems at global scale.

1 policy plane

Global coverage

Minutes to onboard

// Trusted Voices

Vinod Bijlani on the Partnership

"HPE’s collaboration with Daxa reinforces our commitment to helping enterprises adopt AI safely and at scale. By combining our AI infrastructure with Daxa’s AI governance layer, we are ensuring enterprises can innovate without compromising on security or compliance."

Vinod Bijlani

AI Practice Leader, HPE