Best AI Security Software in Canada - Page 6
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Compare the Top AI Security Software in Canada as of June 2026 - Page 6
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1
Simaril
Simaril
Silmaril is a self-healing prompt injection defense designed to protect AI systems from increasingly complex, multi-step attacks that traditional guardrails fail to stop. It operates by wrapping inference calls and evaluating whether an execution sequence is leading toward a harmful outcome, rather than simply filtering inputs. It uses a multihead classifier that analyzes user intent, application context, and execution states together, enabling it to detect indirect injection, multi-turn attack chains, context poisoning, and tool abuse before damage occurs. Silmaril continuously strengthens its defenses through autonomous threat hunting agents that probe systems, discover vulnerabilities, and generate synthetic training data from real attack scenarios. These insights are used to retrain the model automatically, deploying updated protections in under an hour and propagating anonymized defenses across all deployments. -
2
ZeusLock
ZeusLock
AI tools like ChatGPT, Copilot, Claude, and DeepSeek are widely used at work - often without IT oversight. Up to 78% of employees admit using ChatGPT professionally, risking exposure of financial data, API keys, passwords, source code, and personal records. Legacy DLP and proxies weren't built for this threat. ZeusLock is the purpose-built DLP for the AI era. It automatically detects and blocks sensitive data before it reaches any AI service. Deployment takes 2 minutes via a browser extension and workstation agent, covering web apps, IDEs, terminals, and AI agents via MCP. When a risk is detected, ZeusLock either alerts the user or blocks the submission - based on your policy - and logs every incident for a full audit trail. It also guards against Prompt Injection, Jailbreak attacks, and unauthorized shadow AI tools like DeepSeek. Detection runs locally, with an ML API hosted in Europe for full data sovereignty. Zero latency, zero productivity impact. -
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Proofpoint AI Security
Proofpoint
Proofpoint AI Security is a unified platform designed to help enterprises govern, monitor, and protect the use of AI systems, large language models, and autonomous agents across the organization. It provides visibility into both sanctioned and unsanctioned AI usage, enabling security teams to discover shadow AI tools, observe prompts and responses, and understand how AI interacts with sensitive data in real time. It applies intent-based detection and behavioral analysis to identify anomalies, prompt injection attempts, and risky interactions, while enforcing policies directly during runtime to prevent data leakage and misuse. It reconstructs full AI transactions, from user input to agent actions and outcomes, giving organizations complete traceability and audit readiness. With controls that extend across endpoints, browsers, and AI agent connections, it enables granular access governance and ensures that AI systems only access and share appropriate information. -
4
Straiker
Straiker
Straiker is an AI-native security platform built specifically to protect enterprise AI applications and autonomous agents, focusing on the emerging risks of “agentic AI” systems that interact with tools, APIs, and sensitive data. It provides full visibility and control across the entire AI stack by analyzing behavioral signals from models, prompts, tools, identities, and infrastructure, enabling real-time detection and prevention of AI-specific threats such as prompt injection, privilege escalation, data exfiltration, and malicious tool usage. It combines continuous discovery, adversarial testing, and runtime protection through core components like Discover AI, Ascend AI, and Defend AI, which together identify all active agents, simulate attacks to uncover vulnerabilities, and enforce real-time safeguards during execution. Its multi-layered architecture captures deep contextual signals across user interactions, networks, and agent workflows. -
5
Matters.AI
Matters.AI
Matters.AI is the first AI Security Engineer for Data, built for the AI and data layer to autonomously see, understand, and resolve data misuse before the SOC opens a ticket. It protects what truly matters wherever data lives or travels, functioning like an AI security engineer that understands context, monitors behavior, and protects sensitive data autonomously across cloud, SaaS, endpoints, microservices, and AI pipelines. Matters is built on semantic intelligence, nearest neighbor search, data lineage modeling, and predictive behavior analysis, so it does not just detect threats; it understands context, anticipates risk, and takes action proactively. Instead of relying on static rules, regexes, dashboards, and noisy alerts, Matters reads between the lines, traces risk in motion, and never sleeps. It identifies sensitive data not just by how it looks, but by what it represents, tracking data across cloud, SaaS, endpoints, and beyond using fingerprinting and eBPF. -
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OpenAI Daybreak
OpenAI
OpenAI Daybreak is frontier AI for cyber defenders and OpenAI’s vision for changing the way software is built and defended. Daybreak means seeing risk earlier, acting sooner, and helping make software resilient by design, starting from the premise that the next era of cyber defense should be built into software from the beginning. It is not only about finding and patching vulnerabilities, but about helping systems become resilient to them by design. Daybreak brings AI into modern cyber defense by helping defenders reason across codebases, identify subtle vulnerabilities, validate fixes, analyze unfamiliar systems, and move from discovery to remediation faster. Because those same capabilities can be misused, Daybreak pairs expanded defensive capability with trust, verification, proportional safeguards, and accountability. It combines the intelligence of OpenAI models, the extensibility of Codex as an agentic harness, and security partners across the security flywheel. -
7
Ocean
Ocean
Ocean is an agentic email security platform that prevents AI-powered targeted attacks, automates triage, and gives employees real-time guidance. Traditional defenses scan the surface for anomalies and patterns that AI is now trained to avoid, while Ocean goes deeper by investigating every email before it reaches the inbox, not after the damage is done. Its central intelligence engine, Ray, coordinates a swarm of purpose-built agents that understand intent, enrich context, and follow the evidence across infrastructure, files, abuse mailboxes, links, identity, financial signals, quarantine, and contacts. Ocean builds a living memory of how an organization operates and communicates, adapts from day one, and constantly learns. Every verdict comes with the full reasoning behind it, every signal checked, and every step taken, backed by evidence instead of a score or black box. -
8
Google AI Threat Defense
Google
Google AI Threat Defense is an AI-powered cybersecurity platform designed to help organizations proactively predict, prioritize, and remediate threats at machine speed. Combining the reasoning capabilities of Gemini, contextual risk analysis from Wiz, automated code remediation through Gemini and CodeMender, and frontline threat intelligence from Mandiant, the platform enables security teams to continuously identify exposures, validate risks, accelerate remediation, and monitor environments for emerging threats. Built around a four-step framework of Prepare, Scan, Remediate, and Monitor, Google AI Threat Defense helps organizations strengthen security across multicloud, AI, SaaS, code, and hybrid environments while reducing response times and improving operational resilience against modern AI-driven attacks. -
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Gray Swan
Gray Swan
Gray Swan is an enterprise AI security and evaluation platform that helps organizations deploy AI with confidence by protecting LLM applications, agents, and model deployments from emerging threats, policy violations, and harmful content. It integrates with any LLM provider to add security without disrupting existing workflows, combining automated adversarial testing, continuous red teaming, runtime monitoring, and adaptive protections. Gray Swan tests beyond known attacks by using threat intelligence from 15,000+ adversarial researchers and more than three million attack attempts generated through its Arena, helping teams discover vulnerabilities before they appear in public databases. Its core products include Shade, an advanced AI vulnerability assessment platform that continuously probes LLMs like a security researcher working 24/7, and Cygnal, a runtime monitoring and protection layer for AI interactions. -
10
GuardionAI
GuardionAI
GuardionAI is an Agent and MCP Security Gateway that provides unified security for AI agents and Model Context Protocol tools operating on enterprise data. It sits in the execution path to discover, redact sensitive data, enforce protection, and give teams visibility into actions that traditional SIEM, DLP, and identity layers cannot see. Every agent action is inspected, enforced, and logged at the protocol level across AI agents, LLM apps, RAG systems, chatbots, coding agents, MCP servers, internal tools, databases, operating systems, and cloud environments. GuardionAI protects against critical AI threats such as prompt injection, system override, web attacks, MCP tool poisoning, malicious code execution, NSFW content, PII and credential exposure, confidential data leakage, off-topic drift, and unauthorized access, mapped to OWASP LLM Top 10 and agentic AI threat frameworks. Its gateway provides four layers of protection. -
11
General Analysis
General Analysis
General Analysis is an AI security platform that helps security teams adversarially test, monitor, and protect AI agents and systems in production. It is built to help organizations understand AI risk, prevent incidents, and secure real AI deployments across employee copilots, coding agents, customer support agents, healthcare assistants, legal assistants, financial copilots, creative pipelines, and other agentic workflows. It maps AI applications and agents across prompts, retrieval, tools, MCP servers, browser actions, permissions, repositories, cloud accounts, SaaS workflows, and business processes, then generates context-aware attacks that expose system-level risks. Its automated red teaming uses attacker models that adapt to target responses and produce multi-step exploit chains, helping teams uncover vulnerabilities that static prompt sets or endpoint-only tests may miss. -
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Exabeam
Exabeam
Exabeam helps security teams outsmart the odds by adding intelligence to their existing security tools – including SIEMs, XDRs, cloud data lakes, and hundreds of other business and security products. Out-of-the-box use case coverage repeatedly delivers successful outcomes. Behavioral analytics allows security teams to detect compromised and malicious users that were previously difficult, or impossible, to find. New-Scale Fusion combines New-Scale SIEM and New-Scale Analytics to form the cloud-native New-Scale Security Operations Platform. Fusion applies AI and automation to security operations workflows to deliver the industry’s premier platform for threat detection, investigation and response (TDIR). -
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Deep Instinct
Deep Instinct
Deep Instinct is the first and only company to apply end-to-end deep learning to cybersecurity. Unlike detection and response-based solutions, which wait for the attack before reacting, Deep Instinct’s solution works preemptively. By taking a preventative approach, files and vectors are automatically analyzed prior to execution, keeping customers protected in zero time. This is critical in a threat landscape, where real time is too late. With the aim of eradicating cyber threats from the enterprise, Deep Instinct protects against the most evasive known and unknown cyberattacks with unmatched accuracy, achieving highest detection rates and minimal false positives in tests regularly performed by third parties. Providing protection across endpoints, networks, servers, and mobile devices, the lightweight solution can be applied to most OSs and protects against both file-based and fileless attacks. -
14
CUJO AI
CUJO AI
CUJO AI is the global leader in the development and application of artificial intelligence to improve the security, control and privacy of connected devices in homes and businesses. CUJO AI brings to fixed network, mobile and public Wi-Fi operators around the world a complete portfolio of products to provide end users with a seamlessly integrated suite of Digital Life Protection services while improving their own network monitoring, intelligence and protection capabilities. Leveraging artificial intelligence and advanced data access technologies, unprecedented visibility and actionable insight are provided for end-user networks by inventorying connected devices, analyzing applications and services in use, and detecting security and privacy threats. Artificial intelligence and real-time network data combine, working together to create smarter and safer environments for people and all their connected devices. -
15
Protect AI
Palo Alto Networks
Protect AI performs security scans on your ML lifecycle and helps you deliver secure and compliant ML models and AI applications. Enterprises must understand the unique threat surface of their AI & ML systems across the lifecycle and quickly remediate to eliminate risks. Our products provide threat visibility, security testing, and remediation. Jupyter Notebooks are a powerful tool for data scientists to explore data, create models, evaluate experiments, and share results with their peers. The notebooks contain live code, visualizations, data, and text. They introduce security risks and current cybersecurity solutions do not work to evaluate them. NB Defense is free to use, it quickly scans a single notebook or a repository of notebooks for common security issues, identifies problems, and guides your remediation. -
16
Vannevar Decrypt
Vannevar Labs
VANNEVAR LABS combines top software engineering talent with decades of mission experience to get state of the art technology to the people that keep us safe. Decrypt decentralizes global collection to pull public data from difficult- to-access, high-leverage sources. Our ensemble approach to translation uses best-in-class organic and third-party natural language processing models to ensure that all sources are translated accurately and immediately. Flexible user queries quickly surface mission-relevant data to share, exploit, and distribute. Decrypt manages all attribution for users. Data is collected once by our layered obfuscation methods so endpoints are never touched by users. Decrypt was built on open architecture that enables rapid integration with other government and commercial applications. -
17
Causely
Causely
Bridging observability with automated orchestration for self-managed, resilient applications at scale. Every second, huge volumes of data are generated by observability and monitoring tools, capturing metrics, logs, and traces about all aspects of complex, dynamic applications. Yet it’s still up to humans to troubleshoot and make sense of all this data. They are locked in a never-ending cycle of responding to alerts, identifying root causes, and determining the best action for remediation. The process hasn’t changed fundamentally in decades, and it’s still labor-intensive, reactive, and costly. Causely removes the need for human troubleshooting by capturing causality in software, closing the gap between observability and action. For the first time, the entire lifecycle of detection, root cause analysis, and remediation of defects in applications is fully automated. With Causely, defects are identified and resolved in real-time, so applications can scale with high performance. -
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Cyclops
Cyclops Security
Prioritizing risk is one of the biggest challenges in cyber security, our innovative solution creates a business context for your security operations, allowing you to validate the effectiveness of your security controls in the context of your unique business requirements. Cyclops integrates with your existing security tools using the CSMA approach to gather metadata on threats, vulnerabilities, cloud instances, SaaS apps, and more. It then enriches this data with context and insights by looking at the same entities in different products that are integrated. By providing this contextualized approach to risk validation, our cybersecurity mesh product helps you make intelligent decisions and focus on what really matters. -
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AI EdgeLabs
AI EdgeLabs
AI EdgeLabs is an AI-powered Edge embedded cybersecurity solution for distributed Edge/IoT environments. It is a software-defined tool that identifies and responds to all types of threats in real-time ensuring seamless business operations. What sets AI EdgeLabs apart: - The first cybersecurity solution to employ on-device AI in uncovering hidden network threats and zero-day attacks that might disrupt critical operations. - The first cybersecurity solution designed to be deployed directly on edge devices, recognized as the most vulnerable components of any edge infrastructure. - It is a lightweight solution that can be deployed on nearly any edge device, consuming as little as 4% CPU, having no side effects on the performance of neighboring applications. - It is a containerized solution that can be easily deployed on thousands of edge devices remotely within hours. -It identifies and responds to threats even in scenarios with no connectivity and limited bandwidth. -
20
CyberCAST
Zyston
CyberCAST is our comprehensive cybersecurity software that enhances our managed security services. Our platform illuminates critical insights into an organization’s threat susceptibility and informs a dynamic cybersecurity strategy that matures over time. Starting with a combination of technical penetration testing and a detailed security audit, this results in a quantitative security risk score that provides a foundation for developing a comprehensive cybersecurity strategy. Our security professionals examine all findings to tailor our approach to the organization’s specific needs. The penetration test component evaluates findings based on business risk and categorizes vulnerabilities based on systemic and process-related issues. Best of all, you don’t have to be a technical genius to understand it. CyberCAST delivers all security findings in plain business language that’s easy to understand and communicate to executive leadership and your board. -
21
TrojAI
TrojAI
TrojAI is an AI security platform that helps organizations deploy and manage AI agents and applications with greater confidence and protection. The platform focuses on identifying vulnerabilities, preventing prompt injection attacks, safeguarding sensitive data, and securing AI behavior across enterprise environments. TrojAI provides both build-time and runtime security solutions that help organizations assess AI models and protect applications from emerging threats. Its technology continuously monitors AI interactions to detect unsafe actions, unauthorized access attempts, and malicious manipulations. The platform supports compliance with leading security frameworks and standards while integrating across different models, cloud providers, and enterprise infrastructures. Designed for enterprise-scale deployments, TrojAI enables organizations to innovate with AI while maintaining strong governance and security controls. -
22
Neysa Aegis
Neysa
From thwarting model poisoning to preserving data integrity, Aegis ensures that your AI models are shielded by default, empowering you to deploy your AI/ML projects in the cloud or on-premise, confident that your security posture is protecting you against an evolving threat landscape. Unsecured AI/ML tools broaden attack surfaces, amplifying enterprise vulnerability to security breaches without vigilant oversight by security teams. Suboptimal AI/ML security posture risks data breaches, downtime, profit losses, reputational damage, and credential theft. Vulnerable AI/ML frameworks jeopardize data science initiatives, risking breaches, intellectual property theft, supply chain attacks, and data manipulation. Aegis uses an ensemble of specialized tools and AI models to analyse data from your AI/ML landscape, as well as external data sources. -
23
Cortex XSIAM
Palo Alto Networks
Cortex XSIAM (Extended Security Intelligence and Automation Management) by Palo Alto Networks is an advanced security operations platform designed to revolutionize threat detection, response, and management. It combines AI-driven analytics, automation, and comprehensive visibility to enhance the efficiency and effectiveness of Security Operations Centers (SOCs). By integrating data from multiple sources, including endpoint, network, and cloud telemetry, Cortex XSIAM provides real-time insights and automated workflows to detect and mitigate threats faster. Its machine learning capabilities reduce noise by correlating and prioritizing alerts, enabling security teams to focus on critical incidents. With its scalable architecture and proactive threat hunting features, Cortex XSIAM empowers organizations to stay ahead of evolving cyber threats while streamlining operational processes. -
24
Conifers CognitiveSOC
Conifers
Conifers.ai's CognitiveSOC platform integrates with existing security operations center teams, tools, and portals to solve complex problems at scale with maximum accuracy and environmental awareness, acting as a force multiplier for your SOC. The platform uses adaptive learning, a deep understanding of institutional knowledge, and a telemetry pipeline to help SOC teams solve hard problems at scale. It seamlessly integrates with the ticketing systems and portals your SOC team already uses, so there's no need to alter workflows. The platform continuously ingests your institutional knowledge and shadows your analysts to fine-tune use cases. Using multi-tier coverage, complex incidents are analyzed, triaged, investigated, and resolved at scale, providing verdicts and contextual analysis based on your organization's policies and procedures, while keeping humans in the loop. -
25
Verax
Verax AI
Verax offers a comprehensive platform to gain full visibility and control over large language models (LLMs) in production, addressing critical risks like hallucinations, data leakage, and biased outputs. Their Control Center provides real-time detection and automatic remediation to ensure AI models behave responsibly and safely. Verax Explore delivers deep insights into LLM behavior, enabling organizations to analyze user interactions and optimize model quality continuously. Verax Protect, coming soon, focuses on preventing data leakage and maintaining regulatory compliance by controlling access to sensitive information. The platform targets enterprise IT, data science, and innovation leaders who need reliable LLM monitoring to reduce risks and improve deployment success. Verax also educates users through its blog and actively supports AI trust and safety. -
26
Arambh Labs
Arambh Labs
Arambh Labs is an agentic AI platform built to transform security operations from reactive firefighting into intelligent, proactive defense. The system deploys specialized AI agents — such as Byte, Rook, Echo, and Talon — each with distinct roles in alert response, strategic planning, threat hunting, and intelligence gathering. By correlating signals across identity, data, endpoints, networks, and cloud environments, the platform delivers full visibility into an organization’s security posture. Its intelligent prioritization ensures that teams focus only on the risks that truly matter, eliminating alert fatigue. Agentic remediation capabilities allow threats to be contained and vulnerabilities fixed at machine speed, drastically reducing mean time to response (MTTR). Backed by ex-Googlers and Fortinet engineers with patented expertise, Arambh Labs is enterprise-ready, scalable, and trusted by leading global security teams. -
27
CrowdStrike Charlotte AI
CrowdStrike
CrowdStrike Charlotte AI is an advanced, AI-driven cybersecurity solution designed to enhance threat detection and response by leveraging machine learning and behavioral analysis. It continuously monitors network activity, endpoints, and cloud environments to identify patterns and anomalies that could indicate malicious behavior or potential cyber threats. By using advanced algorithms, Charlotte AI can predict and detect sophisticated attacks in real-time, reducing response times and improving overall threat prevention. Its ability to analyze vast amounts of data and provide actionable insights allows security teams to proactively address vulnerabilities and prevent incidents before they occur. Charlotte AI is part of CrowdStrike's broader suite of cybersecurity tools, helping organizations stay ahead of emerging threats with cutting-edge, automated defense capabilities. -
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Copla
Copla
Copla is a compliance automation platform designed to help organizations manage complex regulatory requirements more efficiently. The platform supports frameworks such as DORA, NIS2, ISO 27001, SOC2, and other security and governance standards. Copla automates tasks like evidence collection, control monitoring, and policy generation to reduce the manual workload involved in compliance management. By continuously monitoring systems and collecting documentation automatically, the platform ensures businesses remain audit-ready at all times. Copla also cross-maps controls across multiple frameworks, allowing companies to complete compliance work once and apply it to several standards. In addition to automation, the platform provides guidance from experienced CISOs who help organizations build effective compliance strategies. Through a combination of expert support and intelligent automation, Copla enables companies to meet regulatory requirements with less effort and greater confidence. -
29
ServerSage
ServerSage.ai
ServerSage is an AI platform that performs the complete pentesting workflow—planning reconnaissance, probing systems, executing attacks, and documenting findings—just like a human red team. Built for security professionals who need to scale their testing capabilities, it handles the heavy lifting: repetitive reconnaissance, vulnerability validation, exploit execution, and comprehensive reporting. Your team makes strategic decisions while ServerSage delivers technical execution and documentation. -
30
Scamminder
Scamminder
Scamminder is a pioneering platform designed to enhance internet safety by assessing the legitimacy of websites. Utilizing advanced algorithms, it analyzes URLs to detect potential red flags and scores them based on their risk level. By providing a detailed report and scam score, Scamminder empowers users to make informed decisions online. Our mission is to combat cybercrime and increase transparency in the digital realm.