How KoraSafe compares to WitnessAI.
WitnessAI brings behavioral intent-based policy enforcement to AI agents, MCP servers, tool connections, and data sharing. KoraSafe™ governs the same runtime surface through Guardian Agents, then ties every enforcement decision back to obligations, controls, owners, and audit evidence for regulated teams.
WitnessAI's published positioning
Public materials position WitnessAI as an AI security platform for enterprises deploying agents. Its core claim is behavioral intent-based policy enforcement that can monitor and block multi-turn attacks, prompt injection, MCP server connections, tool use, and data sharing before risky actions reach an AI agent. WitnessAI has announced $85M total funding, including a $58M round in January 2026, and reported 500%+ ARR growth over the prior year. Sources: WitnessAI press release and SecurityWeek coverage, January 2026.
Dimensions that matter for governed agents
Each row pairs a buyer question with what each platform's published materials claim. Cells reflect public information and KoraSafe™ product positioning based on the most recent public review; corrections welcome at Contact-us@korasafe.ai.
| Dimension | KoraSafe™ | WitnessAI |
|---|---|---|
| Runtime enforcement model | Guardian Agents enforce policy at runtime across agent actions, data movement, tool calls, and escalations. Verdicts carry control mappings, policy versions, evidence links, and owner workflows so enforcement becomes a governed record. | Behavioral intent-based policy enforcement is the published center of the product. WitnessAI emphasizes detecting and blocking unsafe intent across multi-turn agent activity before it reaches production agents. |
| Agent and tool coverage | KoraSafe™ covers registered and shadow AI through code commits and repo scans today (VS Code extension shipping); identity events, browser activity, and procurement records are on the roadmap. MCP connections, tool calls, and model gateway activity route through Guardian Agents into a shared governance queue. | WitnessAI publishes coverage for active AI agents, MCP server connections, tool connections, and data sharing activity. Public materials emphasize runtime protection for enterprise agent deployments. |
| Regulatory grounding | Controls map to live obligations and framework clauses, including EU AI Act Article 14 human oversight, ISO 42001 A.9 access control, and SR 11-7 model risk management. Each runtime decision can point back to the obligation it supports. | WitnessAI's public positioning centers on security enforcement. Regulatory mappings to EU AI Act Article 14, ISO 42001 A.9, SR 11-7, and sector-specific obligations are not described as first-class product objects in the reviewed public materials. |
| Audit evidence | Every enforcement outcome can enter the evidence chain with the policy version, input context, assigned owner, remediation state, and auditor-ready packet. The audit trail is built for replay and regulator review. | WitnessAI describes monitoring and enforcement for agent activity. Public materials do not describe cryptographic evidence packets, obligation-linked audit trails, or regulator-facing closure workflows. |
| Model risk operations | KoraSafe™ connects runtime enforcement to model inventory, risk scoring, control testing, exception handling, and quarterly evidence snapshots. SR 11-7 programs can treat agent behavior as part of the model risk record. | WitnessAI addresses a critical runtime security layer. Published materials do not position the product as a model risk operating system for inventory, methodology replay, committee review, and quarterly attestation. |
| Prompt injection and multi-turn attacks | Guardian Agents cover prompt injection, content safety, PII (PII Sentinel), drift, fairness, hallucination, anomaly detection (Anomaly Killer), authority limiting (Authority Limiter), human approval (Human Approval Gate), and shadow-agent discovery (Shadow Agent Sentinel). Security findings can trigger policy stops, human review, ticket creation, and evidence capture in the same workflow. | Prompt injection and multi-turn attacks are core WitnessAI claims. The product is strong on behavioral detection and blocking for attacks that unfold across agent conversations and tool use. |
| Program ownership | Built for GRC, security, model risk, and AI platform teams that need one control plane for runtime guardrails, regulatory evidence, sector packs, and governance reporting. | Best fit for security teams prioritizing agent runtime protection, MCP visibility, and behavioral blocking. Governance teams may still need adjacent systems for regulatory mapping and audit closure. |
| Independence | KoraSafe™ ships no agents. The governance layer stays independent of the agent builder, model provider, and application vendor while retaining first-party controls, evidence, and policy logic. | WitnessAI is also independent of the underlying agent runtimes it protects. Both platforms avoid the conflict of governing agents they also sell. |
Where WitnessAI and KoraSafe™ are roughly equivalent
Both platforms treat runtime agent activity as the place where governance must become real. Both monitor agent behavior, both care about MCP and tool connections, and both sit independently from the agent runtimes being governed. If a buyer only needs behavioral blocking for agent security, WitnessAI deserves a serious look. If the buyer also needs regulatory traceability, audit closure, and model risk evidence, KoraSafe™ covers more of the operating model.
Score runtime security and governance together
Ask each vendor to show the same evidence in product: the blocked action, the policy that stopped it, the mapped obligation, the owner workflow, and the audit artifact. Strong demos should survive that chain without hand-waving.