Best AI Security Vendors 2026: Platforms and Companies Ranked
For CISOs, security architects and AI platform teams choosing an AI security vendor in 2026. The market splits into six jobs: runtime and prompt protection, AI agent security, AI security posture management (AI-SPM), model scanning and supply chain security, red teaming, and stopping data leakage. Most vendors now sell several of these, and many have changed owners: Protect AI is part of Palo Alto Networks (Prisma AIRS), Prompt Security is part of SentinelOne, Lakera is part of Check Point, CalypsoAI is part of F5 (F5 AI Guardrails) and Robust Intelligence is part of Cisco (Cisco AI Defense). This page ranks platforms by how many of those jobs they document on their own sites. For deeper lists see Best AI Agent Security Tools 2026, Best AI Security Posture Management (AI-SPM) Tools 2026 and Best AI Red Team Tools 2026.
Last checked October 30, 2026
Editorial independence: aicompliancevendors.com does not accept vendor payment for inclusion or ranking. Every pick below is editor-selected against the criteria stated on this page, and every factual claim is traceable to a cited public source.
Top picks: Prisma AIRS — Palo Alto Networks customers who want every AI security job from one vendor; Cisco AI Defense — Cisco customers securing AI apps, agents and MCP servers across AWS, Google and Azure AI services; Noma Security — Security teams that want agent discovery, posture and runtime control from one AI-native vendor. Plus 6 more vendors reviewed below. Last updated October 30, 2026; every entry cites public sources.
How we decided which vendors qualify for inclusion.
Documents at least three of the six jobs on its own product pages: runtime and prompt protection, agent security, AI-SPM, model scanning or supply chain security, red teaming, and data leakage controls.
Protects AI the customer builds or deploys (applications, models or agents), not only employee use of public chatbots.
Enforces policy at runtime (blocking, redacting or masking), documented on the vendor's site.
Acquired products are ranked under the name they are sold as today, checked October 30, 2026.
Profiled in our vendor directory. Vendors we have not profiled yet are named in the notes below, with sources.
We read each vendor's own product pages, data sheets and filings on October 30, 2026 and counted which of the six jobs each documents. Ranking weighs that breadth first, then the depth of agent and MCP coverage, deployment choice and price transparency. None of the nine ranked platforms lists prices on its own site. Latency and accuracy figures are vendor claims we have not tested. No vendor paid for placement.
Prisma AIRS is Palo Alto Networks' AI security platform, and Protect AI's technology is part of it: Palo Alto completed that acquisition on July 22, 2025. The product page lists seven parts: AI Gateway, AI Supply Chain Security (formerly AI Model Security, which scans third-party models for tampering, malicious scripts and deserialization attacks), AI Red Teaming, AI Runtime Security, AI Posture Management, Agent Identity Security and Agentic Endpoint Security. Runtime Security blocks prompt injection, malicious URLs and poisoned content for apps and agents, and the FAQ names Network Intercept and API Intercept deployment modes. No prices are shown; evaluation starts with a demo or trial request.
Strengths
Covers all six jobs: runtime, agents, posture, model scanning, red teaming and data exposure.
Model scanning built with Protect AI, acquired July 2025.
Agent Identity Security verifies agents against impersonation and stolen-token reuse.
Limitations
No prices on the product page.
AI Posture Management links to a Cortex Cloud page, so check which license covers it.
Cisco AI Defense is built on Robust Intelligence, which Cisco says it acquired in October 2024. Its data sheet, updated October 26, 2026, lists four parts. AI Inventory discovers models, agents and MCP servers in Amazon Bedrock, Google Vertex and Azure AI Foundry. AI Supply Chain Risk Management scans model files, repositories and MCP servers and scores each asset. AI Red Teaming runs 200+ attack techniques. AI Runtime Protection guards prompts and responses against prompt injection and sensitive data leaks, enforces allowlists and blocklists for MCP tools, and flags agent threats such as memory poisoning, tool misuse and privilege escalation. The data sheet lists no prices.
Strengths
MCP servers are discovered, scanned and governed at runtime.
Runtime detections for memory poisoning, tool misuse and privilege escalation.
Discovery across Amazon Bedrock, Google Vertex and Azure AI Foundry.
Limitations
No public prices.
The data sheet does not describe misconfiguration or posture checks.
Noma sells AI-SPM, Agent Access Control, AI-DR (detection and response) and AI red teaming. AI-SPM finds every agent, MCP server, toolset, skill and model across endpoints, SaaS and cloud, flags misconfigurations such as excessive agency, unsandboxed agents, secrets in agent instructions and unauthenticated access, and maps findings to the NIST AI RMF, the EU AI Act, ISO 42001, the OWASP LLM Top 10 and MITRE ATLAS. Agent Access Control keeps a live registry of AI assets and enforces tool-level and action-level policies. AI-DR detects prompt injection (including indirect injection through tool responses), tool poisoning and scope violations, and can block an action, mask data, route it to a human or trigger a killswitch. No public prices.
Strengths
Discovery covers agents, MCP servers, skills and models across endpoint, SaaS and cloud.
Tool-level and action-level policies, with human approval and a killswitch.
Findings mapped to the NIST AI RMF, EU AI Act, ISO 42001, OWASP and MITRE ATLAS.
Limitations
No public prices; demo request only.
Endpoint coverage works through your existing EDR or MDM tools.
Lasso's platform covers discovery and an AI bill of materials (AI-BOM), AI-SPM, AI red teaming, runtime guardrails, detection and response, and employee AI usage control. Its AI-SPM flags misconfigurations, risky tool access, weak guardrails and exposed dependencies, and draws each agent as a graph of models, tools, APIs, databases and MCP servers to show how an attacker could move through it. Discovery connects agentless and read-only to CI pipelines and to Amazon Bedrock, Azure AI Foundry, Microsoft Copilot Studio, Google Vertex AI and Salesforce Agentforce. Guardrails run inline at the proxy, API or AI gateway layer, with blocking in under 50 ms by Lasso's account, and detect indirect prompt injection across MCP tool calls. Lasso won 'Most comprehensive Agentic AI Security Platform' at The Hacker News Cybersecurity Stars Awards 2026. No public prices.
Strengths
AI-SPM draws attack-path graphs for each agent.
Agentless discovery across CI pipelines and five named agent builders.
Inline guardrails at the proxy, API or gateway layer (under 50 ms, per Lasso).
Limitations
No public prices.
The latency figure is a vendor claim we have not tested.
Pillar's platform has five parts: Discovery (agents, models, MCP servers and tools, including shadow AI), Posture Management (risk scoring by permissions, data access and business exposure), Red Teaming (RedGraph maps how tools, prompts and data combine into exploitable paths), Adaptive Runtime (taint analysis traces PII and secrets and blocks unauthorized egress) and Governance (approved model lists and MCP allowlists). It deploys in the customer's VPC, self-hosted or hybrid. Its Agentic Endpoint product finds coding agents, MCP servers, skills and plugins on developer machines, scores MCP servers against a catalog of 23,000+, and checks actions in the pre-tool hook of Claude Code, Codex CLI and Cursor. Pillar lists SOC 2 Type II and ISO 27001, and says Gartner named it a 2026 Cool Vendor in AI Software Security. No public prices.
Strengths
Deploys in your VPC, self-hosted or hybrid.
Covers coding agents, with pre-tool checks for Claude Code, Codex CLI and Cursor.
Runtime taint analysis for PII and secrets.
Limitations
No public prices.
Pre-action enforcement on endpoints covers three coding agents (October 2026).
HiddenLayer's AI Security Platform has four modules: AI Discovery (finds AI assets to eliminate shadow AI), AI Supply Chain Security (validates model integrity before deployment), AI Attack Simulation (continuous simulated attacks) and AI Runtime Security. On March 23, 2026 it added agentic runtime capabilities that reconstruct agent sessions, support threat hunting across sessions and tools, and detect and block prompt injection, malicious tool calls, data exfiltration and cascading attacks. HiddenLayer says they work with agent gateways and execution frameworks without application rewrites. No public prices.
Strengths
Model scanning plus agent runtime protection in one platform.
Agent session reconstruction and threat hunting (March 2026).
Integrations with CI/CD, MLOps, data pipelines and SIEM/SOAR.
Limitations
No public prices.
Its homepage does not describe posture or misconfiguration checks.
Zenity is built for AI agents and documents four of the six jobs: agent security, AI-SPM, runtime protection and data exfiltration controls. Its AISPM checks agent configuration and permissions before go-live across SaaS platforms such as Copilot Studio, ChatGPT Enterprise and Salesforce Agentforce, cloud platforms such as Amazon Bedrock, Google Vertex AI and Microsoft Foundry, and coding agents on developer machines. Runtime Boundaries allows or blocks each agent action, or shuts the agent down, and an MCP gateway allows, modifies or blocks tool calls. AIDR detects direct and indirect prompt injection, data exfiltration, tool misuse and memory poisoning, using LLM-based detection of intent across multi-step behavior. Its platform includes no red teaming or model scanning. Zenity raised a $125 million Series C led by Norwest in August 2026. No prices on its site; its AWS Marketplace listing for AWS Security Hub Extended is usage-based, with a 30-day free trial.
Strengths
Posture, identity, MCP and runtime controls for SaaS, homegrown and coding agents.
Detects multi-step attacks, such as exfiltration chains, by intent.
Usage-based AWS Marketplace prices with a 30-day free trial.
SentinelOne completed its acquisition of Prompt Security on September 5, 2025, and still sells it under the Prompt Security name as part of its Singularity Platform. The product page covers three areas. AI usage control inventories the AI tools employees use, including shadow AI, and redacts data and enforces policy across 15,000+ AI services, including coding assistants such as GitHub Copilot, Cursor and Claude Code. AI Application Security adds pre-deployment testing and a real-time AI firewall, and turns red-team findings into production guardrails. Agentic AI Security enforces least privilege, keeps a searchable audit log of agent actions and discovers shadow MCP servers. No prices are listed for Prompt Security.
Strengths
One product for employee AI use, homegrown apps and agents.
Discovers shadow MCP servers and unsanctioned agent deployments.
Runs on the same platform as SentinelOne endpoint, cloud and identity security.
Limitations
No published prices.
No AI-SPM or model scanning described on its product page.
F5 built AI Guardrails and AI Red Team from CalypsoAI, whose acquisition it completed in 2025 for $180 million in purchase consideration. AI Guardrails blocks prompt injection, jailbreaks and data exfiltration, covers PII, PCI and PHI, and enforces guardrails on agent actions and tool use, auditing and blocking unauthorized tool calls. It runs on premises, fully air-gapped, in a private cloud or in AWS, Azure and Google Cloud, and F5 says it applies consistent policy to every public and private model. AI Red Team uses swarms of autonomous agents to simulate attacks. F5 lists no prices; the product page offers a free trial.
Strengths
On-premises and fully air-gapped deployment.
Guardrails on agent actions and tool calls.
Free trial offered on the product page.
Limitations
No published prices.
No discovery, posture or MCP coverage described on the product page.
Criteria-based recommendations for the most common shortlist scenarios.
Start with the job you need done. For AI agents and MCP servers, see Best AI Agent Security Tools 2026. For an inventory of AI assets and misconfiguration checks, see Best AI Security Posture Management (AI-SPM) Tools 2026. For testing before launch, see Best AI Red Team Tools 2026, and for how runtime guardrails work, read AI guardrails. If you already buy from Palo Alto Networks, Cisco, SentinelOne or F5, their AI products (Prisma AIRS, Cisco AI Defense, Prompt Security and F5 AI Guardrails) fit consoles and contracts you have. Check Point completed its purchase of Lakera in November 2025; Lakera is ranked in our red-team list.
For data leaking into employee AI tools, look at specialists we profile but rank elsewhere or not at all, because they focus on AI use rather than AI you build. WitnessAI lists AWS Marketplace prices of $180 per user for 12 months (1,000-user minimum) and $24 per agent (2,500-agent minimum). Harmonic Security sets allow, warn, redact and block controls by user group, AI tool and data type, and adds an MCP Gateway for agent traffic. Nightfall AI includes AI agent security (hooks for Cursor, Claude Code and VS Code, plus MCP discovery) in its Premier edition, priced per user per year. Knostic publishes prices for coding-agent security: Kirin is free for 1 to 5 users and $15 per user a month for teams. See also Shadow AI.
What we did not include
Transparency about exclusions.
We rank only vendors with a full profile in our directory. These are not profiled yet: Wiz, which Google finished buying on March 11, 2026 and still sells under the Wiz name across clouds, offers AI-SPM that discovers AI models, agents and services without agents and maps attack paths to them. Microsoft Defender for Cloud includes AI security posture management in its Defender CSPM plan. CrowdStrike sells AI Detection and Response (AIDR), announced on September 16, 2025 with its agreement to buy Pangea. Of the vendors we do profile, Lakera (Check Point), Promptfoo (OpenAI) and Giskard focus on testing and are ranked in Best AI Red Team Tools 2026. WitnessAI, Harmonic Security, Nightfall AI and Knostic are named above as usage, data and coding-agent specialists. DeepKeep documents four of the six jobs but gives less detail on each than the nine above; it is ranked in Best AI Security Posture Management (AI-SPM) Tools 2026. Cranium documents discovery, AI bills of materials and red teaming, but its platform page does not describe runtime blocking. Prediction Guard is a self-hosted control plane covered in the agent security list's notes. The old profiles for Protect AI, Robust Intelligence and CalypsoAI stay in the directory, but we rank the products they are sold as today.
Frequently asked
What do AI security vendors do?+
They protect the AI systems a company builds or uses. The work falls into six jobs: runtime protection that blocks prompt injection, jailbreaks and data leaks in prompts and responses; agent security that controls what AI agents and MCP servers may do; AI security posture management (AI-SPM) that inventories AI assets and finds misconfigurations; model scanning that checks third-party models for tampering or malicious code; red teaming that attacks AI before launch; and data leakage controls for employee AI use. Platforms such as Prisma AIRS, Cisco AI Defense and Noma cover most of these; specialists cover one or two.
Which AI security companies were acquired in 2025 and 2026?+
Palo Alto Networks completed its purchase of Protect AI on July 22, 2025 and folded it into Prisma AIRS. SentinelOne completed its purchase of Prompt Security on September 5, 2025 and sells it as part of its Singularity Platform. F5 completed its $180 million purchase of CalypsoAI in 2025; the technology is now sold as F5 AI Guardrails and F5 AI Red Team. Check Point announced it had completed its purchase of Lakera on November 11, 2025. Google completed its purchase of Wiz on March 11, 2026 and kept the Wiz brand. CrowdStrike agreed to buy Pangea on September 16, 2025. Earlier, Cisco acquired Robust Intelligence in 2024; it is the core of Cisco AI Defense.
What is the difference between AI security and AI governance?+
AI security tools are technical controls: they block attacks and leaks, scan models and find misconfigured AI assets. AI governance platforms manage the program around AI: inventories, risk assessments, policies and compliance evidence for laws and standards such as the EU AI Act and ISO 42001. The two overlap. Noma, for example, maps its posture findings to the NIST AI RMF, the EU AI Act and ISO 42001. Most organizations need both; see Best AI Governance Platforms 2026 for the governance side.
Do AI security vendors publish prices?+
Rarely. None of the nine platforms ranked here lists prices on its own site (checked October 30, 2026). Zenity's AWS Marketplace listing for AWS Security Hub Extended is usage-based: $130 per resource a month for observability and $16 per million tokens a month for runtime protection. WitnessAI lists prices on AWS Marketplace: $180 per user for 12 months with a 1,000-user minimum, $24 per agent with a 2,500-agent minimum, and $300,000 for 12 months of its WitnessProtect Model Protection Guardrail. Knostic publishes Kirin plans: free for 1 to 5 users, $15 per user a month for teams, and quoted Enterprise pricing. Nightfall AI prices per user per year. Expect the rest to quote after a demo.
Should I buy AI security from my existing security vendor?+
It depends on how much of the job you need now. Prisma AIRS (Palo Alto Networks), Cisco AI Defense, Prompt Security (SentinelOne) and F5 AI Guardrails plug into consoles you may already run, and Wiz and Microsoft Defender for Cloud add AI-SPM to cloud posture tools. AI-native vendors such as Noma, Lasso and Pillar document deeper coverage of agents, MCP servers and coding agents. Many teams start with what their current vendor includes, then add a specialist where agent coverage falls short.