AI Security & Governance

Learn how teams are keeping AI systems secure, compliant, and aligned with business risk. This section highlights strategies for protecting model outputs, enforcing guardrails, and meeting evolving governance standards.

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The most endorsed AI security and governance solutions on Sagetap, backed by real-world validation from enterprise teams.
1.
Backslash Security
Backslash offers the Unified Vibe Coding Security Platform , the definitive solution for managing the security risks introduced by the rapid adoption of AI-augmented development, also known as "vibe coding". We provide B2B organizations with the preemptive security controls necessary to secure their entire Generative AI development ecosystem, ensuring both speed of innovation and continuous security. The Problem: The rise of AI coding IDEs and agents has created a new governance and security blind spot for engineering teams. Backslash research has shown that popular LLMs, when used with simple or "naive" prompts, frequently generate code that is insecure or vulnerable. Relying on developers to craft effective security prompts is unrealistic, leading to vulnerable code 40%–90% of the time. Furthermore, the introduction of unvetted MCP (Model Context Protocol) servers presents unacceptable infrastructure and data security risk. The Backslash Value Proposition: Vibe Securing. Backslash addresses this challenge by shifting the mindset from merely detecting vulnerabilities after code is written to preventing their creation before code is generated. We call this "vibe securing". The platform provides the built-in guardrails and context-aware system needed to achieve true "security by design" for AI-generated code. Key Platform Capabilities: Visibility and Governance: Gain full visibility into where developers are using AI coding agents, which LLMs are active, and which MCP servers and prompt rules are in use across the developer infrastructure. The Vibe Coding Dashboard provides an immediate assessment of their security posture. Secure AI Prompt Rules: Preemptively create secure code using prompt rules that automatically enhance developer input to adhere to security best practices. These rules are transparent to developers, resulting in secure code that is free of vulnerabilities and exposures from the start. Ecosystem Hardening: AI Agent and IDE Hardening enforces uniform configuration across Agentic IDEs (like Cursor and Windsurf) to fence off agentic AI, reduce the attack surface, and prevent unexpected behaviors. MCP Server Security allows you to analyze and vet MCP servers to prevent excessive permissions and insecure configurations that could be exploited by malicious actors. Contextual Risk Mitigation: The proprietary Backslash App Graph Model provides a core code security engine that models the application. It ensures findings are contextual from the outset, eliminating noise and false positives by only flagging vulnerabilities that have a real, demonstrable risk attached. This empowers developers with actionable, real-time security guidance directly in their workspace. Backslash boosts AI adoption across software engineering teams by providing governance and preemptive security controls for security and AI governance teams
1.
Acuvity - RYNO - GenAI Security Platform
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.

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