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Red Teaming & {Attack Surface} Exposure
Test AI agents with adversarial attacks tailored to your business context, map exploitable paths across your environment, and validate vulnerabilities that matter to your operations.
Map Attack Surfaces
Pillar maps your AI attack surface as a graph showing relationships between agents, tools, permissions, and data sources. The platform identifies exploitable chains where safe components create compound risks when combined, prioritizing paths that expose sensitive data or critical operations.
Graph Visualization: Map agents, tools, and permissions as nodes and edges.
Toxic Combination Detection: Identify risks created by component interactions.
Permission Flow Analysis: Trace how privileges move across agentic systems.
Blast Radius Assessment: Identify failure paths if a component is compromised.
Test Third-Party and SaaS AI Systems
Pillar tests AI platforms, third-party agents, and production systems you don't own or control through multi-step black box adversarial attacks against prompts, tools, and workflows. The platform validates safety and security risks by analyzing business logic and operational context, exposing vulnerabilities and rather than just individual model responses.
Agentic Workflow Testing: Test tool orchestration and permission escalation.
Multi-Turn Attack Chains: Execute attacks that evade single-turn detection.
Proof of Exposure: Provide full attack transcripts and reproduction steps.
Adaptive Strategies: Adjust tactics in real-time to mimic real adversaries.
Validate and Remediate
Pillar feeds findings directly into adaptive guardrails, transforming validated insights into active protection. Continuous assessments ensure defenses evolve dynamically alongside your AI systems.
Evidence-Based Remediation: Fix issues using attack transcripts and reproduction steps.
Posture Assessment: Evolve security controls alongside development.
Governance Enforcement: Detect and flag policy violations in runtime.
Framework Alignment: Map findings to OWASP, MITRE ATLAS, and SAIL.
“For the first time, our security team sees every model, dataset, and prompt in a single dashboard—no more chasing blind spots.”
"What impressed us most about Pillar was their holistic approach to Al security."
"We needed a security partner that not only pinpoints vulnerabilities but also helps remediate them automatically."
"By integrating Pillar’s advanced security guardrails, we ensure AI systems access only secure content, protecting our global customers."
See Pillar in action
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In your 30 minute personal demo, you will learn how Pillar:
Seamlessly integrates with your code, AI and data platforms and provide full visibility into AI/ML assets.
Automatically scan and evaluates your AI assets for security risks.
Enables you to create and enforce AI security policies in development and runtime.
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