Pillar Security

The Pillar + Wiz integration delivers end-to-end AI security by combining Wiz’s AI asset discovery with Pillar’s agentic red teaming, runtime guardrails, and governance capabilities.

The integration gives joint customers a connected workflow: Wiz discovers AI workloads across your cloud environment, mapping the services, identities, and data they connect to. Pillar’s RedGraph then tests those AI endpoints with black-box adversarial assessments and feeds the results back into the Wiz Security Graph as enriched, evidence-backed vulnerabilitiesrisk data.

By correlating red team results with existing cloud risks, security teams can see exploitable attack paths and prioritize remediation based on real-world impact.

Market challenge

As enterprises deploy increasingly autonomous AI agents and embed models deeper into cloud workloads, the AI attack surface expands in ways traditional security tools never anticipated.

Most organizations lack visibility into what their AI systems actually do, what data they access, and what the blast radius of a successful attack would look like. Cloud security gives you the infrastructure picture. But without an agentic-layer view, teamsyou can’t validate whether AI systems can be manipulated through prompt injection, whether agents can exfiltrate data through tool calls, or whether sensitive information leaks through adversarial interactions.

Security teams need a way to connect cloud discovery with adversarial validation, so they understand not only where AI runs, but how attackers can exploit it.

Benefits of the integration

1. Full AI attack surface visibility. Combine Wiz’s cloud-native AI inventory with Pillar’s adversarial validation to see the full picture, from infrastructure exposure to agentic runtime risk, in a single Security Graph in Wiz.

2. Evidence-backed risk prioritization. RedGraph delivers validated attack paths, not theoretical alerts. Security teams can prioritize AI risks based on validated attack paths enriched with Wiz’s cloud context.

3. Continuous AI red teaming at scale. Run adversarial testing from Pillar across all discovered AI endpoints on a configurable schedule. As your AI footprint grows, coverage scales with it.

4. Faster remediation with full context. Results flow directly into the Wiz Security Graph, correlated with cloud context, identities, and data connections, so teams know exactly where to focus and who owns the fix.

The better together story

Wiz gives you deep visibility into where AI systems run, how they connect to other services, and whether they carry exposure risks. Organizations also need to validate how those systems behave in practice: can they be jailbroken, can they leak credentials, can tool-calling chains be hijacked for data exfiltration?

The Pillar + Wiz integration closes that gap. Wiz discovers AI workloads and maps their cloud context. Pillar’s RedGraph autonomously red teams those endpoints with agentic attack simulations and feeds evidence-based results back into the Wiz Security Graph.

Together, the two platforms make sure AI systems are visible, monitored for exposure, and continuously tested against real-world threats.

Security teams need to validate the real-world exploitability of AI endpoints discovered in their cloud environment. Without adversarial testing, cloud-visible AI assets get assessed only for configuration and posture risks, missing the agentic-layer vulnerabilities attackers actually exploit.

By connecting Pillar’s AI security platform with Wiz, organizations get a connected workflow that moves from discovery to adversarial validation:

1. Discover. Wiz identifies AI workloads across your cloud environment, maps the services, identities, and data they connect to, and surfaces exposure risks on the Security Graph.

2. Validate. Pillar’s RedGraph autonomously red teams those AI endpoints with black-box agentic attack simulations, testing for prompt injection, jailbreaks, data exfiltration, tool abuse, and sensitive data leakage.

3. Enrich. RedGraph results flow back into the Wiz Security Graph as evidence-backed risk data, correlated with cloud context to surface real attack paths and prioritize remediation.

For customers who want to go further, Pillar’s runtime guardrails and governance capabilities can act on those same results independently, extending protection from assessment to real-time enforcement and compliance monitoring.