Pillar Security
End-to-end security for AI applications
Overview
Pillar provides full-lifecycle security for AI-native applications — discovery, posture, runtime protection, incident response. Particularly known for its application-developer-first developer experience. Series A funded by Sequoia.
Use cases
What you can produce with Pillar Security
- Automatically discover and inventory every AI asset across your codebase and cloud — models, prompts, agents, and the tools and data they can reach — into a living catalogue.
- Run adversarial tests tailored to your specific application's fingerprint, probing for prompt injection, data exfiltration and agent misuse before attackers do.
- Enforce adaptive runtime guardrails that restrict an AI agent's actions to a pre-approved scope, with sensitive operations gated behind human approval.
- Investigate an AI security incident using full traces of prompts, responses and agent actions instead of reconstructing events from scattered application logs.
- Map your AI security posture against frameworks like the OWASP LLM Top 10 and emerging AI regulations, and export the evidence for audits.
- Deploy through cloud marketplaces such as Microsoft Azure and integrate findings into the security stack your SOC already uses.
ASEAN Perspective
Pillar Security in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Pillar Security is an Israeli AI-security startup offering end-to-end protection for LLM applications and agents: AI asset discovery and fingerprinting, tailored adversarial red-teaming, and adaptive runtime guardrails that monitor inputs and outputs against prompt injection, data leakage and emerging attack patterns. Gartner named it a Representative Vendor in its 2026 Market Guide for Guardian Agents, and its application-centric, model-agnostic approach is well regarded for production AI security.
It suits enterprises and AI teams shipping customer-facing or agentic systems that need governance and runtime defence in one platform. Caveats: it is a younger, seed-stage company (so longevity and roadmap carry more risk than incumbents), pricing is enterprise-only with no transparent tiers, and there is no self-serve entry point. ASEAN buyers can engage as a global vendor, but expect sales-led onboarding and no regional data-residency guarantees by default.
What people say
Pillar Security is a young but visibly ascendant player in AI application security. Founded in Tel Aviv in October 2023 by Dor Sarig and Ziv Karliner, it emerged from stealth in April 2025 with a $9 million seed round led by Shield Capital — that seed remains its only publicly recorded round, so buyers should weigh startup risk accordingly. The clearest external validation came in 2026, when Gartner named Pillar a Cool Vendor in AI software security, calling out its RedGraph approach to offensive agentic testing, its dynamic runtime guardrails and its SAIL framework for secure AI lifecycle management.
The platform's pitch is breadth: discovery and inventory of AI assets (models, prompts, agents and the tools they can call), posture management, tailored adversarial testing based on a fingerprint of your specific application, adaptive runtime guardrails, and incident response with full interaction telemetry. Practitioners who evaluate it tend to highlight the developer-first experience and the guardrails design, which restricts agent actions to an approved scope and can require human sign-off for sensitive operations — a sensible answer to the fear that autonomous agents become an organisation's most dangerous insider. The company says it is trusted by Fortune 500 brands and healthcare, commerce and tech customers.
The honest caveat is that independent user-review volume is still thin. There is a Gartner Peer Insights listing and aggregator scores, but nothing like the hundreds of G2 reviews that anchor sentiment for mature security tools, so most public signal comes from analysts, funding coverage and the vendor itself. Pricing is custom and sales-led.
Pillar fits enterprises that are building AI-native applications and agent fleets in earnest and want one platform spanning the lifecycle from development to runtime, rather than stitching together a scanner, a firewall and an observability tool. Small teams running a single chatbot will find it more platform than they need.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Pillar Security's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Pillar Security unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
For the latest details, please refer to Pillar Security directly →
Spotted something out of date? Suggest an update →
Pillar Security in the news
Cybersecurity
AWS Confirms First Production Prompt-Injection Compromise in Bedrock Agents — Enterprise C...
Cybersecurity
EchoLeak: Zero-Click Prompt Injection in Microsoft 365 Copilot Quietly Exfiltrates Enterpr...
Cybersecurity
Hackers Reach Anthropic's Restricted Mythos Model Through a Vendor Environment as FSB Call...
More in Security & Safety
