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AI Security Vendors in 2026: Who Owns Protect AI, Lakera, Robust Intelligence and the Rest, and What They Do

A dated map of the AI security vendor market as of November 2026: which start-ups were bought by Palo Alto Networks, Check Point, Cisco, SentinelOne, F5 and Cato Networks, which remain independent, what each product does, and how to evaluate an AI security platform.

MADE BY
Several (see the table)
TYPE
Commercial platform
ALSO KNOWN AS
Protect AI (now Prisma AIRS) · Lakera (now Check Point AI Guardrails) · Robust Intelligence (now Cisco AI Defense) · CalypsoAI (now F5 AI Guardrails) · Prompt Security (SentinelOne) · Aim Security (Cato Networks)
FACTS CHECKED
13 November 2026 against the official documentation

Between 2024 and 2026, most of the first wave of AI security start-ups were bought by established security companies. If you interview at one of those acquirers, or are asked to evaluate "an AI firewall", you need to know who now owns what. This page is a dated map. It is not a ranking, and vendors' claims about their own detection rates are left out.

Who owns what (November 2026)

CompanyStatusProduct today
Protect AIAcquired by Palo Alto Networks, completed 22 July 2025Prisma AIRS: model scanning, posture, red teaming, runtime protection, agent security
LakeraAcquired by Check Point in 2025Lakera Guard; Lakera's documentation now calls the API "Check Point AI Guardrails"
Robust IntelligenceAcquired by Cisco, completed 24 September 2024Cisco AI Defense (announced January 2025)
Prompt SecurityAcquired by SentinelOne, completed 5 September 2025Prompt AI within the Singularity platform
CalypsoAIAcquired by F5 in 2025F5 AI Guardrails and F5 AI Red Team
Aim SecurityAcquisition by Cato Networks announced September 2025Cato AI Security in the Cato SASE platform (generally available March 2026)
Pillar SecurityVanta agreed to acquire it on 9 November 2026; not yet closedAgent testing and runtime protection
HiddenLayerIndependent; $100 million Series B in September 2026Discovery, model scanning, attack simulation, runtime security
Noma SecurityIndependent; $100 million Series B in July 2025AI inventory, posture, agent runtime security, red teaming
MindgardIndependent; $30 million round in August 2026Continuous AI red teaming, runtime protection
Lasso SecurityIndependent; raised $30 million in September 2026Discovery, posture, red teaming, inline enforcement

How these products work

TOOL · THE FIVE JOBS AI SECURITY PLATFORMS SELL
Most platforms bundle several
  1. Discovery and inventory

    models, apps, agents, MCP servers

    • Includes shadow AI use by employees
  2. Posture management

    AI-SPM

    • Misconfigured AI services, risky permissions
  3. Supply chain scanning

    model files, dependencies

    • Malicious or backdoored models
  4. Red teaming

    automated attack simulation

    • Before release and continuously
  5. Runtime protection

    guardrails, AI firewalls

    • Prompts, responses, tool calls

Deployment shapes differ, and the shape decides what a product can see:

  • API or SDK calls from your application code, like Lakera Guard's /v2/guard endpoint. These see exactly what the application sends, and miss anything it forgets to send.
  • Network or gateway interception: Cisco AI Defense describes runtime guardrails embedded in the network "without the need for agents or libraries", and Prisma AIRS offers network as well as API intercept. These see traffic without code changes, but need TLS visibility and understand application context less well.
  • Browser and endpoint controls for employees' use of public AI tools, as in Prompt Security and Cato AI Security.
  • Scanners and red-team services that run before deployment rather than inline.

How to use it: an evaluation plan

Day one: write down what you need to see and stop

List your AI assets (applications, agents, MCP servers, employees' tools) and the decisions you want enforced. A platform that only screens chat prompts does nothing for an agent's tool calls, and a network intercept does nothing for traffic it cannot decrypt.

Week one: test with your own scenarios

Run every candidate against the same test set, built from your own use cases:

  • known attacks
  • legitimate requests that look suspicious
  • indirect injection planted in documents and tool outputs
  • multilingual and encoded inputs

Measure misses, false positives and added latency. Read the documentation for what each product says it does not cover. Ask where your data is processed and stored, especially for products that see full prompts and responses.

Every day: integrate and keep evidence

Send detections to your SIEM, define who responds to an AI incident, and re-run the evaluation when models, prompts or the product change. After an acquisition, watch the roadmap: products are often renamed, merged into suites or repriced.

Where they stop

  • Classifiers are not guarantees. Runtime protection reduces risk; architecture (least-privilege tools, approvals, no secrets in context) limits the damage when it misses.
  • Visibility depends on placement. An API-based guard misses calls the app does not route through it; a network guard misses encrypted or local traffic.
  • Vendor numbers are claims. Detection rates in marketing come from the vendor's own test sets.
  • The market moves quickly. Check ownership and product names on the date you read this.

How it comes up in interviews

  • "Our CISO wants to buy an AI firewall. How would you evaluate it?" Use your own test set, documented gaps, placement, data handling, latency and incident integration.
  • "What changed in the AI security market in 2025?" Consolidation into platform vendors, and what that means for buyers.
  • "Build or buy guardrails?" Open-source and cloud guardrails against vendor platforms, by coverage, effort and evidence.

Sources

Checked on 13 November 2026: Palo Alto Networks press release on completing the Protect AI acquisition (22 July 2025) and Prisma AIRS documentation; Check Point press release on acquiring Lakera and Lakera documentation; Cisco blog on acquiring Robust Intelligence and the Cisco AI Defense announcement (January 2025); SentinelOne SEC filings on the Prompt Security acquisition; F5 blog on AI Guardrails and F5's FY2025 annual report; Help Net Security and Cato Networks announcements on Aim Security and Cato AI Security; Vanta announcement on acquiring Pillar Security (9 November 2026); HiddenLayer Series B announcement (2 September 2026); SecurityWeek reports on Noma Security and Mindgard funding; SiliconANGLE report on Lasso Security (2 September 2026).

PRACTICE THIS

Interview questions and lessons on the problems this tool is used for:

Compare with

FAQ

Which AI security start-ups were acquired?▲

Among the best known: Palo Alto Networks completed its acquisition of Protect AI in July 2025, Check Point acquired Lakera in 2025, Cisco completed Robust Intelligence in September 2024, SentinelOne completed Prompt Security in September 2025, F5 acquired CalypsoAI in 2025, and Cato Networks announced it was buying Aim Security in September 2025. Vanta agreed to buy Pillar Security in November 2026.

Which AI security vendors are still independent?▼
What do AI security platforms usually include?▼

An independent explainer for interview preparation. AISecurityInterviews is not affiliated with or endorsed by Several (see the table), and product names are trademarks of their owners. Products change quickly; check the vendor's documentation before you rely on a detail. All security tools