AI Security and Agentic AI Governance

AI Security Posture Management

We assess your AI and LLM deployments for hidden risks. Prompt injection vulnerabilities, data leakage through AI pipelines, model manipulation, and unsafe agent behavior all require a different class of controls than traditional application security. Crucyble delivers a prioritized remediation roadmap so you close gaps before they become incidents.

• LLM application architecture and inference endpoint exposure
• Prompt injection and jailbreak susceptibility
• Data exfiltration paths through AI pipelines
• Model behavior drift and adversarial input resilience
• AI vendor and SaaS application risk

AI Agent Identity and Access Governance

AI agents are accessing your most sensitive systems. Do you know what permissions they hold, who owns them, and what actions they are authorized to take? Most organizations do not. Crucyble inventories your AI agent landscape, maps their permissions and access paths, and builds governance controls that give you full visibility and control over your machine identities.

• Complete AI agent and machine identity discovery
• Permission mapping and privilege reduction
• Ownership and accountability assignment
• Continuous monitoring for behavioral anomalies
• Automated remediation playbooks for misuse scenarios

Agentic Workforce Security Review

Your IT and security operations increasingly rely on AI agents to handle support tickets, monitor infrastructure, triage alerts, and manage workflows. These agents operate with elevated privileges and broad system access. Crucyble audits your agentic workforce for security gaps, credential exposure, and privilege escalation risks so your AI workforce does not become your largest attack surface.

• IT support and helpdesk agent configurations
• Infrastructure automation agent permissions
• Security operations center AI tools and integrations
• Data pipeline agents and ETL automation
• Agent to agent communication and trust chains

LLM Red Teaming and Adversarial Testing

We test your AI systems the way attackers will. Crucyble's red team exercises cover prompt injection, jailbreak attempts, model inversion attacks, and data extraction probes against your production LLM applications and AI agents. Findings are delivered as a prioritized report with proof of concept exploits and recommended mitigations.

AI Governance Program Design

Deploying AI at scale without a governance framework exposes you to regulatory, reputational, and operational risk. Crucyble designs AI governance programs that define acceptable use policies, data handling standards, model evaluation criteria, and escalation paths for AI driven decisions. We translate emerging frameworks like the NIST AI Risk Management Framework and EU AI Act into controls your team can actually implement and your auditors can verify.