Artificial intelligence (AI) isn’t just another IT initiative it’s reshaping the entire enterprise. From summarising internal knowledge and drafting customer responses to controlling real‑world workflows through autonomous agents, modern AI systems sit between people, proprietary data and critical actions. That new layer introduces novel security risks, and the market has responded with a new breed of AI security tools.
FutureTools helps professionals keep up with AI innovation. To understand how to protect emerging AI‑driven workflows, this guide explores what makes an AI security tool, reviews 10 leading offerings for 2026 and offers a framework for selecting the right solution for your organization. For the latest news and tutorials on AI tools, check out our AI News section.
Koi takes a different approach to AI security by tackling risk at the software‑control layer. Instead of focusing solely on models, Koi governs what gets installed on endpoints: browser extensions, IDE plug‑ins, packages from public registries and AI‑adjacent helper apps. The platform offers continuous visibility into non‑executable artifacts such as extensions, containers and AI models, classifies them using an AI‑driven risk engine and enforces allow/block decisions via policy. Enterprises can see what employees request to install, apply policy‑based approvals and maintain evidence of who approved what. This reduces shadow AI adoption and supply‑chain exposure.
Noma Security provides discovery, governance and protection for AI systems and agent workflows. Once AI adoption spreads across multiple teams, security leaders need a unified way to map applications to data sources, understand workflow behavior and apply consistent governance. Noma delivers continuous discovery, contextual insights, AI‑specific threat protection and compliance management. The platform integrates with existing workflows and offers real‑time adaptive defenses, making it attractive for enterprises that need scalable oversight across diverse AI projects.
Aim Security focuses on securing generative‑AI adoption at the “use layer” where employees interact with third‑party AI tools and where SaaS applications embed AI features. Its public GenAI protection module helps organizations discover shadow AI tools, reveal risks and apply real‑time data‑protection policies. Aim’s private GenAI module secures internal AI applications by eliminating misconfigurations, detecting threats and securing connections to internal LLMs. The 360‑degree approach includes auditing data shared with AI, uncovering sensitive prompts and alerting on malicious prompt attempts.
Mindgard specializes in AI security testing and red teaming. The platform maps your AI attack surface, measures risk and actively defends AI systems through continuous, attacker‑aligned testing. This includes automated AI red teaming to assess how retrieval‑augmented generation (RAG) pipelines and agent workflows react to adversarial inputs. Mindgard also offers runtime controls that enforce policies and detect attacks when AI is deployed. For organisations deploying complex RAG and agentic systems, Mindgard turns security testing into a repeatable process.
Protect AI positions itself as the broadest AI security platform, covering the entire model life‑cycle. Its products Guardian, Recon and Layer secure AI applications across model selection, testing, deployment and runtime. The platform delivers end‑to‑end coverage: from model sourcing to red teaming and testing, through deployment monitoring. Protect AI emphasises scalable architecture and flexible deployment options, and the company supports continuous improvement with threat research partnerships. Enterprises with complex model supply chains and evolving AI pipelines may find its holistic approach valuable.
With Radiant Security, the focus shifts to operational response. Radiant offers an agentic AI platform for security‑operations centers (SOCs) that modernizes detection and response. It scales detection by letting AI triage 100 % of alerts, automates investigations and filters out noise so analysts can focus on strategic incidents. The system provides transparent reasoning and traceability for every AI‑driven decision, and includes executable response plans—analysts can respond to incidents manually with one click or let the system automate future responses. For organisations inundated with AI‑related alerts, Radiant helps analysts keep up without losing control.
Lakera (now part of Check Point) is an AI‑native security platform known for runtime guardrails. It Guard provides inference‑time protection against prompt injection, jailbreaks and sensitive‑data exposure. The platform adapts in real time to emerging threats and helps fast‑moving teams launch AI apps securely without slowing development. Lakera also offers Lakera Red for risk‑based red teaming and Lakera Gandalf for AI security training. Built‑in central policy control, multimodal and model‑agnostic support and scalable architecture cater to enterprises deploying diverse models.
CalypsoAI delivers a unified platform for inference‑time protection. Its modules include Red‑Team for proactive, agentic red‑team testing; Defend for real‑time adaptive security; and Observe for centralized oversight and traceability. CalypsoAI covers the entire AI life‑cycle—from use‑case selection and model evaluation to SDLC integration and production deployment—offering controls, iterative testing, observability and auto‑remediation. The platform is model‑ and vendor‑agnostic and integrates with SIEM/SOAR, making it appealing for large organisations seeking centralized AI security management.
Cranium delivers a unified AI security and governance platform designed for enterprise ecosystems. It emphasizes end‑to‑end cybersecurity governance and risk management, ensuring that AI guardrails strengthen as systems evolve. Cranium’s six core capabilities include Discover (visibility into AI models), Inventory (a system‑of‑record for models, data and infrastructure), Test (stress‑test models against real‑world threats), Remediate (apply fixes and controls), Verify (evaluate compliance posture) and Community (enable shared governance with peers and regulators). For organisations facing decentralized AI adoption and regulatory scrutiny, Cranium helps maintain continuous oversight and evidence.
Reco is best known for tackling SaaS sprawl and identity‑driven risk. As AI capabilities proliferate inside SaaS platforms and integrations, Reco monitors when new AI apps connect to systems like Salesforce and flags suspicious data flows. The platform identifies types of SaaS sprawl configuration, identity and data and offers dynamic discovery of apps, SaaS‑to‑SaaS connections, shadow AI tools and users. Reco’s posture management (SSPM++), identity and access governance and identity‑threat detection respond automatically to data theft, account compromise and configuration drift. For enterprises where AI risk emerges inside existing SaaS environments, Reco provides visibility and control.
AI creates security issues that don’t behave like traditional software risk. The main drivers are:
Avoid buying a single “AI security platform” without understanding your needs. Instead:
AI adoption will only accelerate, and enterprises need dedicated security capabilities to match. The top tools in this guide represent different layers of an AI security tools stack from software governance (Koi) and AI discovery (Noma, Cranium) to inference‑time guardrails (Lakera, CalypsoAI), red teaming (Mindgard, Protect AI), operational response (Radiant Security) and SaaS/identity control (Reco). Selecting the right mix depends on your organization’s AI footprint, risk tolerance and integration needs. By mapping your environment and choosing tools that support practical, repeatable control loops, you can harness AI’s benefits while keeping your data and workflows safe.
For more insights on AI tools and how to leverage them responsibly, continue exploring FutureTools.
Alex reviews AI tools hands-on, testing features, pricing, and real-world use cases to help creators, founders, and teams choose the right tools with confidence.
