AI Security & Governance

Akto is the first MCP and AI Agent Security solution that does: 1. MCP and AI Agent visibility and monitoring 2. Agentic AI Red teaming 3. For Employees and homegrown apps 4. Guardrails for MCP and AI Agents 5. Runtime Protection 6. Agentic AI Proxy and Gateway 7. Endpoint Shield and Browser plugin

Acuvity RYNO: Unified, Enterprise GenAI Security Platform Executive Summary RYNO transforms GenAI from a security liability into a competitive advantage. It ensures clarity (total visibility), control (real-time adaptive policies), and confidence (context-aware defense)—letting your organization accelerate AI adoption securely and confidently. The Challenge As AI tools proliferate across enterprises, security leaders face critical blind spots: shadow AI usage, prompt-injection vulnerabilities, data leakage, and regulatory compliance uncertainty. The Solution RYNO is Acuvity’s purpose-built GenAI security and governance engine, offering full-spectrum visibility, adaptive risk detection, contextual intelligence, and dynamic policy enforcement—all in real time. Four Strategic Advantages Full‑Spectrum Visibility Track every GenAI touchpoint—from employee browser use to distributed agent behavior in one unified platform—uncover your true risk and find your blind spots easily. Adaptive Risk Engine Real-time risk scoring powered by behavioral analytics, provider intelligence, and data classification; stops threats like prompt injection or unauthorized data exfiltration. Contextual Intelligence (Context IQ) Prioritizes alerts with deep contextual understanding of user intent, sensitivity, and tool/type—reduce false positives and streamline response. Dynamic Policy Engine Enforces policies in motion, applying guardrails tailored to role, context, and data risk—without hampering AI innovation. Core Capabilities Shadow AI Discovery Detect unsanctioned AI tools and unregulated access points across your organization. DLP++ for GenAI Advanced, context-aware data loss prevention tailored to AI prompts and responses. Threat Protection Real-time defense against prompt attacks, model manipulation, and agent exploitation. AI Firewall & Runtime Security Protect AI pipelines and services with runtime monitoring and behavioral enforcement. MCP Security Secure the Model Context Protocol infrastructure using zero‑trust principles and audit trails. Why It Matters for You Enterprise Risk Leaders: Gain complete observability across your AI footprint—from app use to autonomous agents—and act on verified risk before it escalates. Security Ops Teams: Shift from reactive detection to proactive, real-time defense with behavioral analytics and automated risk mitigation. Governance & Compliance: Manage dynamic policy controls and maintain audit-ready logs to satisfy GDPR, HIPAA, SOC 2, and emerging AI regulations. DevOps & AI Architects: Embed security directly into your AI SDLC—protecting models, pipelines, and agent behaviors without hindering agility.

As every employee adopts AI in their work, organizations need control and visibility. Harmonic delivers AI Governance and Control (AIGC), the intelligent control layer that secures and enables the AI-First workforce. By understanding user intent and data context in real time, Harmonic gives security leaders all they need to help their companies innovate at pace.

ThirdLaw gives Security and IT teams direct control over AI behavior across LLMs, agents, and AI applications. Define what AI is allowed to do, evaluate behavior as it happens, and intervene in real time across prompts, responses, tool calls, and agent actions. As AI moves into production, security teams are accountable for behavior they don't control. Traditional controls don't apply to systems that reason and act dynamically. ThirdLaw fills that gap: policy written once, enforced live, across every AI interaction, without requiring app-by-app code changes. ThirdLaw evaluates behavior in context and applies interventions, block, redact, reroute, rate-limit, or escalate, at the moment a violation occurs. Every decision is logged with full session context, so teams can investigate incidents, demonstrate compliance, and produce audit-ready evidence. Key capabilities: runtime policy enforcement across LLMs, agents, and AI apps; agent and tool-call controls; sensitive data protection in prompts, outputs, and retrieval; AI investigation and incident response; governance with versioned, auditable policy. Built by engineers and operators from Splunk, Cloudera, MongoDB, HashiCorp, Postman, VMware, Waymo, OpenAI, Palantir, AWS, and Google with a track record of scaling enterprise infrastructure.

Ovalix empowers organizations to confidently embrace AI technology by mitigating associated risks such as data leakage, malicious prompts, shadow AI, and regulatory non-compliance across AI applications ranging from basic LLMs to sophisticated AI Agents. By ensuring robust security, maintaining regulatory integrity, and preventing data breaches, Ovalix enables organizations to unlock the transformative power of AI with peace of mind.

The moment Copilot, ChatGPT Enterprise, or Claude Enterprise turns on, two things break. Decades of SharePoint permissions set to "Everyone" become searchable through a single prompt, so PHI or payroll shows up in an answer. And employees outside engineering start building agents that can read, send, and delete far beyond what anyone intended. Opsin is an API-based governance layer for sanctioned enterprise AI that identifies what sensitive, overshared data AI can reach and which agents are riskiest within 24 hours and helps to decentralize and automate remediation to eliminate exposure. We enable cybersecurity teams to answer questions like: - What sensitive data can our AI touch right now? And what controls do we have in place to detect and prevent sensitive data leakage through AI? - How are we maintaining visibility into AI agents built and monitoring their behavior? - Are we enabling the business with AI or blocking it?