Palo Alto Prisma AIRS
Platform
The most comprehensive AI security platform after acquiring Protect AI (completed July 2025). Q2 FY2026: Prisma AIRS surpassed 100 customers with a nine-figure pipeline materialising. Bookings doubled from Q1 to Q2. Covers AI-SPM, MLSecOps, runtime guardrails, and model supply chain security.
Best forExisting Palo Alto / Prisma Cloud customers; enterprises wanting consolidated AI security.
Divisional · PANW · 30%+ op margin · $6.33B NGS ARRRead profile →
Microsoft AI Security
Platform
Microsoft's layered AI security stack: Purview AI Hub (data governance), Defender for AI (threat detection), Agent 365 (agent governance in E7), and Azure AI Content Safety (runtime filtering). Strongest in M365/Azure environments.
Best forM365 E5/E7 enterprises; Azure-native AI deployments; Copilot governance programmes.
Divisional · NASDAQ: MSFT · E7 GA May 2026Read profile →
Cisco AI Defense
Platform
Cisco's AI security platform incorporating the Robust Intelligence acquisition ($400M, 2024). Covers AI application security, model validation, and runtime protection. FedRAMP pathway available. Strong enterprise sales motion through existing Cisco relationships.
Best forCisco-heavy enterprises; regulated industries needing FedRAMP AI security; US Federal.
Divisional · NASDAQ: CSCOProfile coming →
Lakera
Runtime guardrails
Best-in-class prompt injection detection and LLM guardrails. Co-author of OWASP Top 10 for LLMs 2025. Two-product approach: Lakera Red (pre-deployment automated red teaming) and Lakera Guard (real-time runtime protection). Does not cover model scanning or supply chain security.
Best forEnterprises deploying LLM applications needing real-time prompt injection defence and pre-deployment testing.
Private · Series B · ~$30MProfile coming →
CNAPP-integrated AI-SPM from Wiz (Google-acquired $32B Q1 2026). Discovers AI models, training data exposure, and shadow AI within cloud infrastructure. Strongest when combined with Wiz CNAPP for correlated cloud + AI risk context. Weaker outside GCP/AWS/Azure infrastructure scope.
Best forExisting Wiz CNAPP customers; cloud-native enterprises needing AI risk in infrastructure context.
Divisional · Google · $32B acquisitionRead profile →
AI data security from Cyera's DSPM platform. Discovers AI training data exposure, shadow AI deployments, and GenAI data risk. Data-centric approach — strongest for understanding what sensitive data your AI models are seeing. See Cyera's Cyberstarts conflict disclosure.
Best forEnterprises with sensitive data exposure concerns in AI; existing Cyera DSPM customers extending to AI security.
Private · Series F · $9bn valuation · Cyberstarts ⚠Read profile →
Atlas AI platform launched Mar 2026 · AllTrue.ai integrated · RSAC 2026 keynote
The most differentiated AI security entrant in early 2026. Varonis launched Atlas AI in March 2026 (integrating AllTrue.ai, acquired Feb 2026 for ~$150M). CEO Yaki Faitelson keynoted RSAC 2026 — "Robots vs. Robots." Platform covers AI agent discovery, shadow AI visibility, behavioural guardrails, and lifecycle governance, all tied to Varonis's data access graph. Combined with Varonis's data-centric platform — identity, permissions, classification, behavioural analytics — this creates a uniquely complete picture: not just what AI agents are, but what data they can touch.
Best forEnterprises wanting AI security grounded in data access and identity — not just prompt-level guardrails. Existing Varonis customers. Organisations deploying Copilot or autonomous agents with access to sensitive data.
Why this matters
Most AI security tools focus on prompt-level protection. Varonis + AllTrue covers what most vendors miss: once an AI agent is compromised or misbehaves, what enterprise data can it actually reach? The combination of AllTrue's agent observability with Varonis's data graph answers that question in production environments that other platforms cannot.
Public · NASDAQ: VRNS · Atlas AI launched Mar 2026 · RSAC keynote · ⚠ Public-source dataProfile coming →
Securiti AI Governance
AI governance
Broadest AI governance and compliance framework in the category. EU AI Act compliance workflows, AI model data exposure, AI system risk classification. Now part of Veeam — Agent Commander launched Feb 2026 integrates backup resilience with AI governance.
Best forEU AI Act compliance; multi-jurisdiction regulated enterprises; CISOs and Chief Privacy Officers sharing a platform.
Acquired · Veeam · $1.725B Dec 2025Read profile →
Specialist in ML model security — adversarial attack detection, model theft prevention, and data poisoning defence at runtime. Deepest MLOps integration. Purpose-built for teams running proprietary ML models. Limited LLM guardrails and no open-source community programme.
Best forEnterprises with proprietary ML models in production needing real-time adversarial attack defence.
Private · ~$56M raisedProfile coming →
Prompt Security
Runtime guardrails
2025 Gartner Cool Vendor in AI Security. Acquired by SentinelOne in 2025. Runtime protection for LLM applications with embedding-level prompt injection detection and RAG pipeline security. Integration into the SentinelOne Singularity platform underway.
Best forSentinelOne customers; enterprises securing GenAI applications at runtime with embedding-level injection detection.
Acquired · SentinelOne · 2025Profile coming →
AI-SPM platform acquired by Cato Networks in 2025. Provides visibility and risk management for shadow AI, sanctioned SaaS AI applications, and enterprise AI deployments. Strong for discovering and managing unsanctioned AI use across the organisation.
Best forEnterprises with shadow AI exposure; organisations needing AI app inventory and risk scoring before formal governance.
Acquired · Cato Networks · 2025Profile coming →
Pure-play AI-SPM covering AI asset discovery, risk assessment, and compliance automation across the full AI development lifecycle. Native integrations with MLflow, Weights & Biases, Hugging Face, and major cloud AI services. Fastest-growing pure-play in the AI-SPM segment.
Best forML engineering teams building AI applications; enterprises needing full AI development lifecycle security.
Private · Series A · ~$32MProfile coming →
Focused on AI governance, policy enforcement, and compliance. FedRAMP pathway and air-gapped deployments available. Founded 2018 — oldest company in the AI security category. ~$68M including US government contracts. Does not offer adversarial testing, red teaming, or model scanning.
Best forUS government and regulated industries; enterprises needing AI policy enforcement, auditability, and FedRAMP compliance.
Private · ~$68M inc. govt contractsProfile coming →
AI-specific penetration testing platform (DAST-AI) from Lancaster University spinout. Gartner-recognised emerging innovation in AI Security Testing. Reduces AI red teaming from months to minutes. Purpose-built for finding AI-specific vulnerabilities that traditional AppSec tools miss.
Best forSecurity teams needing automated AI-specific vulnerability testing; organisations with AI red teaming mandates.
Private · University spinout · UKProfile coming →
The most focused adversarial robustness specialist in the category. Pure red teaming and adversarial ML testing — no guardrails, no supply chain security, no AI firewall. Small team (~$5M seed), narrow but deep expertise. Research-oriented; not an enterprise platform.
Best forResearch-oriented security teams; organisations needing adversarial ML robustness validation for specific high-risk models.
Private · ~$5M seedProfile coming →
Early-stage AI data governance and EU AI Act compliance platform. Automated AI system inventory, risk scoring, and regulatory mapping. Small team, limited enterprise scale. Interesting for compliance teams building EU AI Act programmes who cannot yet justify enterprise-tier platforms.
Best forCompliance-first teams needing EU AI Act automation; early-stage AI governance programmes not yet ready for enterprise platforms.
Private · Seed stageProfile coming →