WitnessAI has secured $58 million in strategic funding, underscoring growing investor confidence in technologies designed to address one of the most persistent barriers to enterprise artificial intelligence adoption: trust. The round was led by Sound Ventures, with participation from Fin Capital, Qualcomm Ventures, Samsung Ventures, and Forgepoint Capital Partners.
The new capital will be used to accelerate the company’s global go-to-market strategy and expand its product portfolio as enterprises move beyond experimentation and into large-scale deployment of AI systems.
The announcement comes as organizations increasingly adopt AI agents – autonomous or semi-autonomous systems capable of making decisions and acting on behalf of users. While these agents promise productivity gains, they also introduce new layers of risk, particularly around security, compliance, and explainability. WitnessAI positions itself as a “confidence layer” for enterprise AI, aiming to make AI interactions observable, governable, and defensible in regulated and high-risk environments.
Alongside the funding news, WitnessAI revealed expanded governance capabilities focused specifically on agentic AI. These new features are designed to give enterprises visibility into how AI agents operate, what systems and tools they access, and how they interact with sensitive data. By treating agent activity in a similar way to large language model interactions, the platform allows security teams to monitor which agents are active, which servers or tools they connect to, and what information they exchange. This approach is intended to bridge a growing gap between human users and autonomous systems by linking human and agent identities and capturing decision-making context in real time.
According to the company, this level of observability provides explainability for agent actions, an increasingly important requirement as AI systems are used in customer-facing processes, financial decision-making, and operational automation. The platform records agent state and execution commands at runtime, offering organizations a way to understand not just what an agent did, but why it did it. This capability extends visibility across what WitnessAI describes as a hybrid workforce of human and agentic actors.
A second pillar of the newly announced capabilities focuses on proactive protection. WitnessAI is extending its AI application security controls beyond models to include agents themselves, with the goal of blocking malicious prompts or attacks before they reach an agent. This includes defenses against advanced threats such as prompt injection and multi-turn attacks, which can manipulate an agent over a sequence of interactions. The platform relies on behavioral intent analysis, interpreting the meaning and intention behind prompts rather than relying solely on static rules, enabling more nuanced and accurate policy enforcement across complex AI workflows.
These features are designed to support what the company calls “multi-generational” AI applications – systems that combine foundational model APIs, custom large language models, and AI agents operating across cloud and edge environments. WitnessAI’s agentic security offering is scheduled to become available in January 2026.
500 Percent Increase in ARR
The funding round builds on a period of rapid growth for the company. Over the past year, WitnessAI reports a more than 500 percent increase in annual recurring revenue and a fivefold expansion of its workforce. Its platform is already deployed in production environments at large publicly traded enterprises across sectors including financial services, utilities, automotive, aviation, retail, and telecommunications. The company previously raised $27.5 million in a Series A round in May 2024, co-led by Google Ventures and Ballistic Ventures.
Investors backing the latest round highlighted the growing importance of security and governance as AI becomes embedded in core business processes. Representatives from Qualcomm Ventures emphasized the shift toward hybrid AI environments spanning cloud and edge devices, where consistent governance and protection are critical. Samsung Ventures pointed to the rise of mobile and on-device AI, noting that security controls must extend beyond traditional corporate infrastructure to cover endpoints and distributed systems.
Financial services emerged as a particularly significant use case for WitnessAI’s technology. Fin Capital and SMBC, one of Japan’s largest financial institutions, both framed the investment as a way to support responsible AI adoption in an industry that often sets the pace for regulatory and security expectations. As banks, insurers, and asset managers scale AI usage, the ability to demonstrate accountability and manage risk is becoming a prerequisite rather than a differentiator.
From WitnessAI’s perspective, the market opportunity lies in replacing fragmented security approaches with a unified platform. Chief executive Rick Caccia has argued that enterprises attempting to secure AI workflows using a patchwork of existing tools – such as network proxies, firewalls, data loss prevention products, and endpoint detection agents – face unnecessary complexity. By contrast, WitnessAI aims to provide a single layer that governs and secures every AI interaction, regardless of where it occurs.
As enterprises move from pilot projects to production-grade AI deployments, the company’s latest funding round signals broader recognition that confidence, governance, and security are now central to the AI value proposition. Whether WitnessAI can translate its rapid growth into a lasting position as a standard for secure enterprise AI will be closely watched by both customers and competitors as the agentic era unfolds.
Executive Insights FAQ
What problem is WitnessAI addressing with this funding?
The company aims to reduce enterprise hesitation around AI adoption by providing security, governance, and explainability for AI models and agents.
Why are AI agents creating new security challenges?
Agents can act autonomously across systems and data sources, increasing the risk of unintended actions, data exposure, and complex attack vectors.
How does WitnessAI differentiate itself from traditional security tools?
It focuses on behavioral intent and unified observability across AI interactions, rather than relying on fragmented, legacy security controls.
Which industries are adopting WitnessAI’s platform most actively?
Financial services, utilities, automotive, aviation, retail, and telecommunications are among the leading adopters.
When will the new agentic security features be available?
WitnessAI plans to make its agentic AI security capabilities available in January 2026.
