
WitnessAI secured $58 million in a strategic funding round led by Sound Ventures, with participation from Fin Capital, Qualcomm Ventures, Samsung Ventures, Forgepoint Capital Partners, and Artisanal Ventures. The investment aims to fuel global expansion, product enhancements for AI agent security, and tailored solutions for managed service providers, amid rising enterprise adoption of autonomous AI systems.
WitnessAI, based in Mountain View, California, develops a unified AI security and governance platform that acts as a “confidence layer” for enterprise AI. Founded in 2023, it focuses on observability, protection, and control across AI interactions involving employees, models, applications, and agents. The platform provides network level visibility to monitor prompts and responses, blocks threats like prompt injections and jailbreaks, and enforces policies for compliance with regulations such as PCI DSS. It serves major enterprises in financial services, utilities, automakers, airlines, retailers, and telcos, with notable traction including over 500% annual recurring revenue (ARR) growth and a 5x increase in employee headcount to 73 in the past year.
The $58 million strategic round positions WitnessAI for accelerated international growth and innovation in agentic AI security. Unlike traditional venture stages, this funding emphasizes partnerships with corporate investors like Qualcomm and Samsung, highlighting hybrid AI trends spanning cloud and edge computing. Prior rounds include a $27.5 million Series A co-led by GV (Google Ventures) and Ballistic Ventures, with an implied post money valuation around $100 million at that time. The new capital will support enhanced policy enforcement, modular APIs for integration with managed service providers, and localized interfaces for global markets.
This funding underscores the growing emphasis on securing AI agents, which inherit user permissions and pose risks like unintended data access or manipulation. It enables WitnessAI to address shadow AI, compliance gaps, and multi generational AI workflows, potentially differentiating it from competitors like Palo Alto Networks or Zscaler. While investor enthusiasm is high, with nearly $250 million invested in agentic cybersecurity last year, enterprise adoption of such systems remains nascent, as evidenced by surveys showing only about 25% of organizations scaling AI agents meaningfully.
WitnessAI’s latest $58 million strategic funding round, announced on January 13, 2026, marks a pivotal moment for the young AI security company as it navigates the rapidly evolving landscape of enterprise AI adoption. Led by Sound Ventures, an early backer of prominent AI players like OpenAI and Anthropic, the investment not only provides substantial capital but also signals strong validation from investors attuned to the intersection of AI innovation and security needs. With participation from Fin Capital, Qualcomm Ventures, Samsung Ventures, Forgepoint Capital Partners, and Artisanal Ventures, the round brings together expertise in financial services, edge computing, and cybersecurity, aligning with WitnessAI’s focus on hybrid AI environments. This follows the company’s $27.5 million Series A in May 2024, co-led by GV and Ballistic Ventures, and an incubator/accelerator program with AWS and CrowdStrike in February 2025, pushing total funding to around $85.5 million since its 2023 founding. The funding coincides with the launch of WitnessAI Agentic Security, extending the platform’s capabilities to autonomous AI agents, a timely move as enterprises grapple with the security implications of these increasingly prevalent tools.
Founded in Mountain View, California, WitnessAI emerged from stealth in 2024 with a mission to enable safe AI deployment without compromising innovation or control. Co-founded by Rick Caccia (CEO, with prior leadership at Palo Alto Networks, Google Cloud Security, Red Canary, Chronicle, and Exabeam) and Barmak Meftah (a key executive and investor from Ballistic Ventures), the company has quickly scaled to 73 employees. Its platform serves as a unified “confidence layer” for enterprise AI, offering three core pillars: Observe (real time visibility into AI activities, including cataloging applications, agents, and servers); Protect (AI Firewall to block attacks like jailbreaks, prompt injections, and data leakage); and Control (policy enforcement for compliance, routing prompts based on risk, and audit trails). This network-based approach provides infrastructure level oversight without requiring device installations, addressing shadow AI, unauthorized agent behaviors, and regulatory requirements like PCI DSS 4.0.1. WitnessAI’s growth trajectory is impressive, with over 500% ARR increase in the past 12 months and production deployments at top enterprises across financial services, utilities, automakers, airlines, retailers, and telcos, protecting hundreds of thousands of employees and applications. A notable example is InComm Payments, which leveraged the platform to scale AI while maintaining strict compliance.
The $58 million round is strategically positioned to capitalize on the agentic AI boom, where autonomous systems perform tasks with inherited user permissions, introducing risks such as data manipulation, unintended actions (e.g., file deletions), or hijacking. Funds will accelerate global go to market efforts, including localized interfaces and distribution partnerships with managed service providers (MSSPs) and managed detection and response (MDR) vendors. Product expansions include enhanced policy enforcement, modular APIs for integration, shadow AI detection tools, and bi-directional observability to track LLM-issued commands and ensure alignment with user intentions. CEO Rick Caccia emphasized the platform’s unique ability to secure multi generational AI workflows across corporate and cloud LLMs and agents, avoiding the complexity of stitching together disparate tools like proxies, firewalls, and DLP solutions. The funding size was deliberately calibrated for sustainable growth over the next few years, balancing expansion ambitions with minimal dilution.
Investor perspectives highlight the round’s alignment with broader market trends. Ashton Kutcher of Sound Ventures noted that “tech doubt” is the primary barrier to enterprise AI adoption, praising WitnessAI’s proven track record in building confidence for global leaders. Tushar Gupta from Qualcomm Ventures stressed the hybrid future of AI, where security must span cloud and edge, and WitnessAI’s architecture positions it as essential infrastructure for the agentic era. Samsung Ventures echoed this, focusing on mobile AI’s rise and the need for scalable controls across devices and servers. Logan Allin of Fin Capital positioned WitnessAI as a leader in secure AI for financial institutions, while Keiji Matsunaga of SMBC highlighted its role in responsible AI for high stakes sectors. Nicole Perlroth, a participating investor, warned of unprecedented data loss risks without proper agent safeguards. Board member Gen. Paul Nakasone, former NSA and Cyber Command head, underscored agents as prime targets for adversaries seeking sensitive data.
The product launch of WitnessAI Agentic Security extends protections to AI agents by monitoring their activities, connections, and data flows, while blocking malicious prompts based on behavioral intent. This includes securing agent MCP server interactions and providing explainability by linking human and agentic identities. Features like automated red-teaming for vulnerabilities and real time data redaction enhance compliance and threat mitigation. In a market where agentic cybersecurity attracted nearly $250 million across two dozen deals last year (per PitchBook), WitnessAI differentiates through its intent based ML engines and single tenant architecture for data sovereignty. However, adoption hurdles remain: A McKinsey study indicates only about one in four organizations have meaningfully scaled AI agents, suggesting the technology is still emerging.

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Competitively, WitnessAI challenges incumbents like Palo Alto Networks, Zscaler, and Google by offering a pure play, unified solution that avoids fragmented tooling. It targets gaps in B2C chatbots, employee AI compliance, and agent deployments, positioning itself as a central control point for diverse AI interactions. The broader AI security market is poised for growth, driven by regulatory pressures and high profile incidents, but success will depend on navigating early stage uncertainties and proving ROI in complex enterprise environments.
Looking ahead, WitnessAI’s trajectory appears promising, with the funding enabling international partnerships and innovations like edge optimized security. As Barmak Meftah noted in his LinkedIn announcement, this round arrives amid the agentic era’s acceleration, empowering the company to bridge real security gaps for scaled AI deployments. Community reactions, including congratulations from partners like Ballistic Ventures and excitement from industry peers, reflect optimism for WitnessAI’s role in shaping secure AI futures. Yet, as with any startup in a nascent field, execution on global expansion and continuous adaptation to evolving threats will be key to long term leadership.
| Funding Round | Date | Amount Raised | Lead Investors | Key Participants | Valuation (Post Money, if Known) | Primary Use of Funds |
| Seed VC | 2023 | ~$4.5M (implied from totals) | Ballistic Ventures (incubation) | N/A | Not disclosed | Initial platform development |
| Series A | May 2024 | $27.5M | GV, Ballistic Ventures | N/A | ~$100M | Product launch and initial scaling |
| Incubator/Accelerator | February 2025 | Non dilutive | AWS & CrowdStrike Cybersecurity Accelerator | N/A | N/A | Acceleration and partnerships |
| Strategic Round | January 2026 | $58M | Sound Ventures | Fin Capital, Qualcomm Ventures, Samsung Ventures, Forgepoint Capital Partners, Artisanal Ventures | Not disclosed | Global expansion, agentic security enhancements, MSP integrations |
| Key Investors | Expertise/Focus | Rationale for Investment |
| Sound Ventures | Early AI investments (e.g., OpenAI, Anthropic) | Addressing “tech doubt” as a barrier to AI adoption |
| Qualcomm Ventures | Edge computing and AI hardware | Hybrid AI security spanning cloud and devices |
| Samsung Ventures | Mobile and device AI | Scalable controls for on-device AI models |
| Fin Capital | Financial services tech | Secure AI for banks, insurers, and asset managers |
| Forgepoint Capital Partners | Cybersecurity | Runtime defenses for AI threats |
| Artisanal Ventures | Emerging tech | Agentic AI governance innovations |
| Platform Pillars | Core Features | Benefits for Enterprises |
| Observe | Real time visualization of prompts/responses, agent discovery, interaction classification | Uncovers shadow AI and provides audit ready visibility |
| Protect | AI Firewall, jailbreak blocking, prompt injection defense, agent action governance | Prevents data leakage and attacks across multi turn interactions |
| Control | Policy routing by risk/cost, department-specific rules, data redaction | Ensures compliance (e.g., PCI DSS) and data sovereignty in single tenant setups |
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