Govern Production AI with Zero Trust Controls 6 AI-SPM Controls

The enterprise question has shifted. It’s no longer “Can we deploy AI?”

It’s “Can we deploy it safely, compliantly, and at scale?”

Most teams can’t answer yes—yet. Models, notebooks, plugins, and agents are appearing weekly. Security has no runtime visibility. Compliance teams can’t prove guardrails exist. And the blast radius of a prompt injection or over-permissioned agent is very, very real.

This is the gap AccuKnox AI-SPM was built to close.

The Problem – AI Scales. Risk Scales With It.

Production AI doesn’t fail like traditional apps. It fails at runtime—across prompts, agents, and data pipelines—in ways that AppSec and CSPM tools were never designed to catch.

In practice, this looks like:

• Shadow AI — models and notebooks deployed without ownership or oversight
• Misconfigured AI services — posture drift that’s invisible until it’s too late
• Prompt injection and jailbreaks — adversarial inputs that bypass controls at inference time
• Agent overreach — over-permissioned agents making autonomous tool calls at machine speed
• Data leakage — sensitive data surfacing through prompts or RAG retrieval

Meanwhile, governance pressure is rising. Teams need auditable controls and continuous evidence—not a quarterly snapshot the day before an audit.

One Platform, Unified Control

AccuKnox applies CNAPP principles to AI: discover → validate posture → enforce at runtime → prove compliance continuously.

AI-SPM becomes the system of record for every model, endpoint, dataset, prompt, and agent workflow. From there, it connects to Zero Trust controls across cloud, Kubernetes, and workloads.

“Visibility is the first control.”

The goal isn’t more alerts but rather enforceable guardrails for production AI—backed by audit-ready evidence.

Feature	Description	Image
🔍 Shadow AI Discovery Discover	Continuous inventory across clouds and clusters—AI endpoints, model services, notebooks, pipelines, and agent tool integrations. Identify unowned services fast. Assign ownership. Close the blind spots.
🛡️ Prompt Firewalling Enforce	Define policies for injection and data leakage scenarios. Simulate risky inputs. Watch controls detect, block, and generate evidence in real time. Zero Trust applied to prompts: allow specific, deny the rest.
🤖 Agentic AI Security Runtime	Model tool call misuse as runtime behavior—not an app bug. Enforce least privilege on what agents can access and do. Apply continuous diagnostics and mitigation before autonomous actions become incidents.
🎯 Intelligent Red Teaming Validate	Automated adversarial testing for jailbreak resilience and abuse paths. Because controls that look correct on paper often fail under real prompts. Validate defenses continuously—not just at deployment.
🔐 AI Data Security (DSPM) Data	Identify sensitive data exposure paths in pipelines and retrieval workflows. Map findings to GRC controls. Generate continuous compliance evidence over what data AI can actually touch.
🪪 Agentic Identity Controls Identity	Agents inheriting broad enterprise permissions is a quiet, high-impact risk. AccuKnox applies least privilege, entitlement visibility (KIEM-style), and auditable policy enforcement for agent identities and actions.

What AccuKnox AI POC Covers

The Takeaway

AI adoption moved faster than the controls. That’s not a criticism—it’s just where we are.

The teams that pull ahead will be the ones who govern AI with the same rigor they apply to cloud infrastructure: unified visibility, enforceable runtime controls, and continuous compliance without adding another silo.

AccuKnox AI-SPM makes that possible today.

Ready to see it in action? Start your AI POC

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