Prediction Guard vs WitnessAI

Prediction Guard sells a self-hosted "sovereign AI control plane" for regulated organizations. It sits between applications and the models, agents and MCP tools they call, and applies access, safety and policy controls to each request inside the customer's own infrastructure. The company was founded in 2023 in Lafayette, Indiana; CEO Daniel Whitenack is a co-founder. It raised a $3.7 million seed round led by Sovereign Capital in May 2025, and Noblis Ventures made a strategic investment of undisclosed size in July 2025. At the time of the seed round it had eight employees and said it had 18 customers in health care, defense, transportation and manufacturing. The platform registers each agent with an identity and role and limits it to the models and tools that role needs. Runtime controls include PII masking, prompt injection detection, toxicity filtering, input sanitization, MCP tool scoping and human-in-the-loop approval; requests that fail a policy are blocked and logged. It produces an exportable AI bill of materials (CycloneDX) of models, guardrails and MCP servers, runs model security scans and streams security events to SIEM tools such as Splunk, Datadog and Grafana. Applications call it through OpenAI- and Anthropic-compatible APIs. It deploys into a customer VPC on AWS, Azure or Google Cloud, on Kubernetes on premises, or air-gapped. Prediction Guard says its control overhead is under 200 ms per request. **AI compliance coverage** Prediction Guard says its policies align with the NIST AI RMF, NIST AI 600-1, the OWASP Top 10 for LLM and agentic applications, OMB M-26-04 and AIUC-1, with one-click baselines and an exportable "proof of alignment" for the NIST AI RMF. A company blog post (August 2026) adds the EU AI Act and ISO/IEC 42001. The same post labels its OWASP mapping "self-published" and not independently verified, and notes that the audit log records enforcement events rather than full replayable traces. We found no published control-by-control mapping. The homepage shows badges for a SOC 2 Type 2 report by Sensiba and HIPAA compliance; there is no public trust center. **Who it's for** Regulated enterprises and public sector bodies that want AI guardrails and agent controls to run inside their own network, including disconnected environments. It is sold to government through Carahsoft. Its homepage quotes executives at Noblis (also an investor), SimWerx and iBase-t.

WitnessAI is an AI security and governance platform for enterprise AI use by employees and by AI agents. It was founded in 2023 and incubated by Ballistic Ventures. CEO Rick Caccia, previously SVP of marketing at Palo Alto Networks, is the only co-founder the company names. It is based in Mountain View, California, and has raised about $85.5 million in two announced rounds: $27.5 million co-led by GV and Ballistic Ventures (May 2024) and $58 million in strategic funding led by Sound Ventures (January 2026), with Fin Capital, Qualcomm Ventures, Samsung Ventures and Forgepoint Capital Partners taking part. The platform has three modules. Observe finds the AI apps, agents and MCP servers in use, drawing on a catalog of thousands of AI applications, and classifies conversations by intent. Control sets policies by department, role, intent or workforce type, routes prompts to approved or cheaper models, limits agents to approved MCP servers and tools, redacts sensitive data in real time and keeps audit trails. Protect (Witness Protect, which WitnessAI calls "the enterprise AI firewall") screens prompts and responses for prompt injection, jailbreaks and harmful output and tokenizes PII, credentials and secrets. Witness Attack runs automated red teaming against models before deployment. WitnessAI says it sees AI activity across the network without browser extensions or endpoint clients, including native apps such as Windows 11 Copilot and Office 365, and it integrates with F5 BIG-IP SSL Orchestrator for encrypted AI traffic. Each customer gets a single-tenant instance with customer-controlled encryption. In January 2026 it launched WitnessAI Agentic Security, which covers coding agents such as Claude Code, Cursor and Codex and records the user, agent, tool and rule for every blocked tool call. In July 2026 it added AI FinOps features: spend estimates for unsanctioned AI apps and agents, metering of sanctioned token use, an ROI dashboard and cost-based model routing. **AI compliance coverage** The compliance page offers logging of every AI app and interaction, policy enforcement and masking of regulated data, but names no AI framework. WitnessAI's AWS Marketplace listing says its audit trails support compliance reporting for the EU AI Act, ISO/IEC 42001, the NIST AI RMF and PCI DSS 4.0.1. We found no control mappings for any of them. WitnessAI announced a SOC 2 Type II attestation in October 2025; it has no public trust center. **Who it's for** Large enterprises that want to see and govern how employees and agents use public and internal AI tools, and to add runtime protection to their own AI apps. WitnessAI says its customers include financial services firms, utilities, airlines, automakers, retailers and telecoms. InComm Payments is the only customer it names on its site.