AI Red Teaming
Continuously attacks agents, RAG layers, and tool chains to surface exploitable paths before launch, with risk-scenario-mapped reports and prioritized, actionable fixes.
PromptHalo’s AI Red Teaming Services continuously probe agents, RAG layers, tool chains, and multi-agent workflows the way real adversaries would. Find prompt injection, jailbreak, poisoning, data leakage, and unsafe tool-action paths before they ship, then turn prioritized findings into runtime defenses backed by evidence-grade audit trails.
Focused adversarial testing and AI security validation for agents, RAG systems, tool chains, and enterprise workflows.
Continuously attacks agents, RAG layers, and tool chains to surface exploitable paths before launch, with risk-scenario-mapped reports and prioritized, actionable fixes.
Identifies direct prompt injection and RAG injection attempts, using embedding-based detection and a shared Threat Library trained by red team discoveries.
Tests for jailbreaks, instruction overrides, retrieval poisoning, and attack chains that push AI systems outside intended behavior across multi-step workflows.
Probes whether sensitive information can cross conversations, sessions, tenants, or permissions, helping teams prevent exposure before responses reach users.
Evaluates whether agentic AI can invoke tools, APIs, or commands beyond intended scope, then supports external enforcement before unsafe actions execute.
Detects subtle session-over-session output shifts that can undermine trust, compliance, and reliability as AI behavior changes over time.
PromptHalo reviews agents, RAG layers, retrieval sources, tool calls, handoffs, session memory, and compliance-sensitive workflows to understand where adversarial pressure could create business or security risk.
PromptHalo is purpose-built for the risks created by agentic AI systems.
Built for autonomous tool calls, RAG retrieval, and multi-agent handoffs traditional tools miss.
ML-based detection cites over 95% catch rate with under 5% false positives.
Every red team discovery trains runtime enforcement through a shared Threat Library.
Deploys in under a day with no model retraining or code rewrite.
Enterprise AI security experts focused on agentic trust.
PromptHalo exists to help enterprises move from AI experimentation to safe, scalable deployment. Its platform is designed around the new attack surface created by agentic systems: autonomous tool calls, RAG retrieval, multi-agent handoffs, session memory, and real-time decision authority. Instead of relying on static rules or model access, PromptHalo tests AI the way attackers would, then turns those discoveries into runtime controls that act before unsafe behavior executes. The company’s positioning is clear: test it, then trust it. For security teams, compliance leaders, and regulated organizations, that means fewer invisible AI-native risks, stronger audit evidence, and more confidence shipping advanced AI features.
AI Red Teaming Services test AI systems the way real adversaries would, looking for exploitable weaknesses in prompts, agents, RAG pipelines, tool calls, and multi-step workflows. PromptHalo’s approach continuously probes for prompt injection, jailbreaks, retrieval poisoning, data leakage, and unsafe agent actions, then delivers prioritized fixes rather than raw, unstructured findings.
Talk with PromptHalo about your agents, workflows, and risk priorities.
Findings aligned to recognized AI risk categories.
Supports structured AI risk management practices.
Audit evidence supports regulated AI oversight.
Share your AI architecture, agent workflows, or compliance goals, and PromptHalo will help identify the most relevant testing and runtime security path.
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