The best GenAI security solutions for 2027 are Palo Alto Networks Prisma AIRS for broad AI runtime and model security, Cisco AI Defense for enterprises on Cisco, Lakera for prompt injection protection and HiddenLayer for model and agent security. Prompt Security, Lasso, Noma Security, Pillar Security and F5 AI security (CalypsoAI) cover employee AI use, agent security and AI security posture.
Generative AI introduces new risks: prompt injection, data leakage, unsafe outputs, poisoned models, risky agents and unsanctioned employee use of AI tools. A new category of security tools has emerged to address them.
Many leading startups in this space have been acquired by large security vendors, so this list notes current ownership where relevant.
How We Chose
We compared coverage of AI apps, agents and employee use, runtime protection against prompt injection and data leakage, model scanning, red teaming, AI security posture management, integrations and deployment options.
GenAI Security Solutions At A Glance
Solution
Best For
Standout Strength
Prisma AIRS
Enterprises on Palo Alto Networks
Runtime protection, model scanning and red teaming
Cisco AI Defense
Cisco customers
Visibility, validation and runtime guardrails
Lakera
Teams shipping LLM apps
Low-latency guardrails
HiddenLayer
Organizations deploying their own models
Model scanning and runtime detection
Prompt Security
Securing employee AI usage
Browser and app-level controls
Lasso Security
Mid-size and large enterprises
Discovery and policy enforcement for GenAI
Noma Security
Enterprises building agents
Agent inventory and runtime protection
Pillar Security
AI product teams
Discovery, red teaming and guardrails
F5 AI Security (CalypsoAI)
Enterprises using F5
Policy enforcement at inference time
Best GenAI Security Solutions For 2027
1. Prisma AIRS — AI Runtime And Model Security From Palo Alto Networks
Prisma AIRS combines runtime protection for AI apps and agents with model scanning, posture management and red teaming, building on Palo Alto Networks’ acquisition of Protect AI.
It suits enterprises consolidating security vendors.
2. Cisco AI Defense — AI Security Across Network And Applications
Cisco AI Defense, built partly on Robust Intelligence, discovers AI usage, validates models and enforces runtime guardrails.
It suits enterprises with Cisco security infrastructure.
3. Lakera — Real-Time Protection Against Prompt Injection
Lakera Guard detects prompt injection, jailbreaks and data leakage in real time, and Lakera Red tests AI apps for weaknesses. Lakera is now part of Check Point.
It is widely used by teams building AI products.
4. HiddenLayer — Security For Models And AI Agents
HiddenLayer protects AI models and agents with model scanning, supply chain security, runtime detection and automated red teaming.
It suits companies that train or host models.
5. Prompt Security — Protecting Employee And App Use Of GenAI
Prompt Security, now part of SentinelOne, protects employee use of AI tools, homegrown AI apps and AI coding assistants from data leaks and attacks.
It suits companies managing AI adoption across the workforce.
6. Lasso Security — Securing LLM Interactions End To End
Lasso discovers GenAI use across the organization and enforces policies on data, prompts and outputs, with coverage for agents and MCP.
It suits teams seeking broad GenAI visibility.
7. Noma Security — Security For AI Agents And The AI Lifecycle
Noma Security inventories AI models, agents and data pipelines and protects them across development and runtime.
It suits organizations scaling agentic AI.
8. Pillar Security — AI Security From Development To Runtime
Pillar Security discovers AI assets, tests them with red teaming and applies runtime guardrails tailored to each application.
It suits teams wanting security throughout the AI lifecycle.
