Dynamo AI Recognized in the 2025 Gartner® How to Secure Custom-Built AI Agents Report
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Low-code tools are going mainstream
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Multilingual NLP will grow
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Combining supervised and unsupervised machine learning methods
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Automating customer service: Tagging tickets and new era of chatbots
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Detecting fake news and cyber-bullying
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We’re thrilled to announce that Dynamo AI has been mentioned in the latest Gartner research How to Secure Custom-Built AI Agents (March 2025). Equipping enterprises with scalable and robust security controls for AI Agents, Dynamo continues to be the leader in helping enterprises deploy secure, trustworthy agentic AI systems at scale.
Gartner highlights that, “AI agents are emerging as organizations invest in homegrown generative AI applications for enterprise automation. Cybersecurity leaders should adapt secure development and runtime security practices to handle new attack surfaces and risks from custom-built AI agents.” As Gartner states, “unlike humans, agents lack motivation to follow logical security policies.” and recommends that enterprises “implement AI runtime defense, alongside existing application security measures, to detect and respond to AI-targeted threats such as prompt injections and behavioral anomalies.”
Agentic AI Requires a New Security Paradigm
Dynamo provides an end-to-end solution for enabling enterprises to deliver robust and scalable security controls across AI Agentic workflows. Dynamo’s AI guardrails in DynamoGuard provide real-time runtime policy enforcement, blocking unauthorized actions, harmful outputs, and hallucinations before they cause damage. Specifically, DynamoGuard’s ability to build both customized security guardrails enable enterprises to monitor and contain AI Agents to compliant and permissible workflows. By leveraging DynamoGuard’s ultralightweight foundation guardrail models, enterprises can also ensure guardrailing does not introduce significant overhead costs and latency as AI Agents drive considerably higher levels of LLM utilization.
DynamoEval, Dynamo’s AI Red Teaming Platform, continuously probes and evaluates agent behavior across memory, tools, and LLM orchestration, leveraging AI agents to simulate attacks such as indirect prompt injection and memory leakage. Ensuring robust auditing of the efficacy of technical controls with DynamoEval enables use-case teams to explain controls to various risk, compliance, legal, and security stakeholders involved in the AI governance process.
Dynamo helps teams not only detect vulnerabilities, but also remediate them with actionable insights—ensuring their agents behave predictably, securely, and in alignment with organizational intent.
Empowering Security-Conscious AI Development
Dynamo AI is purpose-built for these challenges. Our platform enables:
- DynamoGuard Runtime Security Controls – enforcing security and compliance controls, including performant and scalable detection of prompt injection and jailbreaking vulnerabilities.
- DynamoEval Agent Red Teaming – uncovering weak points across the agent lifecycle.
- Single-Pane-of-Glass Observability for AI Agents – making agent behavior transparent, accountable, and auditable.
As enterprises increasingly turn to autonomous systems like AI Agents, Dynamo will continue to lead the way in defining, testing, and securing the next generation of intelligent agents.
To learn more about how Dynamo AI can help you secure your AI agents, schedule a demo with the Dynamo AI team.
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Gartner, How to Secure Custom-Built AI Agents, Dionisio Zumerle, Jeremy D'Hoinne, 17 March 2025
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