AI agents are stuck in pilot.
Not because they can’t perform — but because they can’t be trusted.
Security, reliability, and compliance risks are slowing your AI production timelines. Donna AI helps organizations with AI governance and identifies risks across your AI tools and agents, enabling teams to deploy into production with complete confidence.
The biggest risk isn’t adopting AI. It’s being accountable for agents you cannot fully control.
AI agents and MCP-connected workflows introduce security, reliability, and safety risks that traditional controls were never designed to handle. Without visibility into these risks, you cannot confidently deploy AI into production.
Hallucinations & decision integrity
AI systems confidently generate false, misleading, or fabricated outputs that influence customer interactions, operational workflows, and business decisions — without clear signals they are wrong.
Prompt injection
Hostile instructions hide inside user inputs, retrieved docs, and tool outputs. Your agent follows them — leaks data, runs commands, ignores its own guardrails.
Excessive autonomy
Agents act with permissions no human reviewed. One compromised step poisons downstream decisions and cascades across multi-agent workflows before anyone notices.
Tool & API abuse
Connected tools get weaponized. Attackers trigger unauthorized transactions, mutate production systems, and turn your integrations into an attack surface you don't monitor.
Governance & compliance gaps
AI systems violate internal policies, regulatory obligations, or data-handling requirements — without organizations realizing it until after deployment.
Jailbreaks
Adversaries bypass your safety policies in a single turn. The model produces harmful, biased, or non-compliant output that lands on your brand and your audit log.
Next-generation
AI security
Two capabilities. One outcome: agents that ship without a six-month review cycle.
AI Red Teaming & Risk Testing
Continuously test AI systems against real-world attack scenarios before they become production incidents.
Donna aims to simulate prompt injection, jailbreaks, tool abuse, data exfiltration, unsafe autonomy, and multi-agent attack paths using a continuously evolving threat intelligence engine designed specifically for GenAI and agentic workflows.
Adaptive Runtime Guardrails
Deploy runtime protections that evolve alongside your AI systems.
Donna dynamically applies guardrails based on observed risks, agent behavior, permissions, and red teaming results, helping organizations detect, monitor, and block unsafe or non-compliant behavior in real time.
The questions every
leader is asking.
“We committed to agentic AI as our 2026 priority. Where are the agents?”
CEO
Your engineering team built them months ago. They're still stuck in pilot because security, compliance, and governance teams cannot confidently approve autonomous systems they cannot fully observe or control.
“Show me the controls. Show me the audit trail. Show me how this fails safely.”
CISO
Fair ask. But traditional security tools were never designed for AI agents that reason dynamically, call tools, access live data, and make autonomous decisions.
“The demo worked perfectly. So what's wrong with our customer facing AI chatbot now?”
Head of Engineering
Now we are faced with the realities of production traffic, prompt injection attempts, tool misuse, hallucinations, and permission sprawl.
“What happens if the agent is manipulated?”
Head of Enterprise Risk
Prompt injection, jailbreaks, MCP abuse, and unsafe tool execution create attack paths most organizations cannot currently detect or monitor.
“Our competitors are moving fast, why aren't we?”
CFO
Every quarter your agents remain stuck in review is another quarter competitors gather user feedback, operational leverage, and market advantage.
“Who is accountable when this fails?”
Board of Directors
AI systems may act autonomously. Accountability does not. We will be accountable and have to ensure we do everything so they perform safely in production.
Why 95% of AI pilots fail: the GenAI divide is starkest in deployment rates — only 5% of custom enterprise AI tools ever reach production.
Srinivas Tallapragada
President & Chief Engineering Officer, Salesforce
Secure AI Before Deployment.
Learn more about how Donna can help you ship your Agents with confidence.