InsurStaq Alternatives

Kitecyber: Gen AI & Data Security, Built on the Endpoint Kitecyber protects your data and secures Gen AI use with a single lightweight agent that runs directly on the endpoint. Because it lives on the device, Kitecyber sees the complete picture—device posture, operating system activity, process activity, data classification, user activity, and network activity—together, in real-time context. That's something network- and cloud-only tools can't match: they watch traffic after it leaves the device, while Kitecyber understands the action at the moment it happens. One agent replaces a stack. Kitecyber unifies data loss prevention, secure web gateway, zero trust private access, SaaS protection, device management, and Gen AI security, no appliances, no separate consoles, and deployment in about a day. Data security that keeps up with your data. Kitecyber classifies sensitive information with LLM-powered, context-aware intelligence across 80+ categories (PII, PHI, PCI, source code, IP) at over 90% accuracy — not brittle keyword matching. It tracks data lineage through transformations like screenshots, encoding, and file conversion that defeat traditional scanners, and enforces policy inline before data ever leaves the device. Gen AI security for the age of AI agents. Kitecyber tracks sensitive data pasted or uploaded into tools like ChatGPT, Claude, and Gemini and blocks it before it leaves the endpoint. It discovers shadow AI apps reaching your devices and extends visibility to the AI agents now acting on your users' behalf — a blind spot for identity- and network-based tools. Trusted and proven. Kitecyber secures fast-growing fintech, AI companies, BFSI, Manufacturing, healthcare and SMB organizations in highly regulated environments, and partners with GRC leaders like Vanta and Scrut Automation to simplify security and compliance together. Customers report up to 50% lower total cost of ownership, ~20 hours a week saved, and enterprise-grade protection without enterprise complexity. Kitecyber is SOC 2 Type II compliant, with pre-built templates for GDPR, HIPAA, PCI DSS, ISO 27001, and more. The company operates and has customers across USA, Europe, Middle east and APAC. Get enterprise-grade Gen AI and data security in days, from one agent. Learn more at kitecyber.com.

Adaptive Security is the security layer for the AI era, protecting organizations and their employees from modern cyberattacks. AI has changed how every company works, and how every company gets attacked. Employees use AI tools IT doesn't know about. Attackers craft deepfakes, vishing calls, and spear phishing emails that get past filters. Adaptive addresses all of it in one unified platform: managing AI tool usage before it becomes a liability, training employees on the threats they'll actually face, simulating AI-powered attacks, and protecting the inbox and browser so threats never reach their intended targets. Because it's one platform, Adaptive develops a complete risk picture and uses it automatically, applying targeted training, attack simulations, and policy controls to lower risk over time. More than 1,000 organizations run Adaptive to manage their human security program, having raised $150M+ from NVIDIA, Andreessen Horowitz, Bain Capital Ventures, and Citi Ventures.

Criminal IP is a cyber threat intelligence solution that provides decision-ready threat intelligence, and attack surface management solutions to security teams worldwide. By continuously scanning the global internet, Criminal IP aggregates and contextualizes threat signals across IPs, domains, URLs, and attack infrastructure, covering malicious indicators, known vulnerabilities, exposed assets, and attacker behavior. Criminal IP's mission is to give organizations real visibility into their cyber landscape and accelerate threat detection and response by delivering the intelligence needed to outsmart attackers.

cside is a browser-layer security platform that gives you visibility for every visitor, human or agentic. Security, fraud prevention, privacy and compliance, all from a single script. Unlike traditional WAFs and server-side security tools, cside operates directly in the browser environment, monitoring every third-party script loaded on your pages in real time. This means threats that bypass your backend defences are caught at the point of execution. What cside does: Script Monitoring and Control: cside inventories, monitors, and enforces policy on every third-party JavaScript tag running on your site. 100% session coverage, no sampling. Every script. Every page load. Detect supply chain attacks, shadow scripts, and unauthorised tag injections before they reach your customers. PCI DSS 4.0.1 Compliance: cside is the fastest path to meeting PCI DSS 4.0.1 requirements 6.4.3 and 11.6.1. Automated script authorisation, tamper detection, and continuous monitoring satisfy QSA requirements without manual effort. Validated by VikingCloud. Device Intelligence: Persistent, privacy-safe device intelligence using 102+ signals and 40+ hashed attributes. 99.7% fingerprint accuracy enables fraud prevention, bot detection, and session continuity across logins, checkouts, and account actions. AI Agent and Bot Detection: Identify and classify AI crawlers, headless browsers, and automated agents interacting with your site. Protect pricing data, inventory, and content from scraping and abuse. Chargeback Evidence: Capture cryptographically verifiable session evidence at checkout to dispute fraudulent chargebacks. Reduce dispute losses without adding friction to genuine customers. Who uses cside: E-commerce retailers, payment service providers, digital agencies, travel and hospitality platforms, iGaming and betting operators, financial services firms, and SaaS companies managing PCI compliance, fraud risk, and client-side attack surface across high-traffic web environments. Deployment: One-line script tag. No proxy. No latency impact. Up and running in under 5 minutes. SOC 2 Type II certified. PCI SAQ-D validated.

SOCRadar provides a unified, cloud-hosted platform designed to enrich your cyber threat intelligence by contextualizing it with data from your attack surface, digital footprint, dark web exposure, and supply chain. We help security teams see what attackers see by combining External Attack Surface Management, Cyber Threat Intelligence, and Digital Risk Protection into a single, easy-to-use solution. This enables your organization to discover hidden vulnerabilities, detect data leaks, and shut down threats like phishing and brand impersonation before they can harm your business. By combining these critical security functions, SOCRadar replaces the need for separate, disconnected tools. Our holistic approach offers a streamlined, modular experience, providing a complete, real-time view of your threat landscape to help you stay ahead of attackers.

ZeroPath (YC S24) is an AI-native application security platform that delivers comprehensive code protection beyond traditional SAST. Founded by security engineers from Tesla and Google, ZeroPath combines large language models with advanced program analysis to find and automatically fix vulnerabilities. ZeroPath provides complete security coverage: 1. AI-powered SAST for business logic flaws & broken authentication 2. SCA with reachability analysis 3. Secrets detection and validation 4. Infrastructure as Code 5. Automated patch generation. any more... ZeroPath delivers 2x more real vulnerabilities with 75% fewer false positives. Our research team has been successful in finding vulns like critical account takeover in better-auth (CVE-2025-61928, 300k+ weekly downloads), identifying 170+ verified bugs in curl, and discovering 0-days in production systems at Netflix, Hulu, and Salesforce. Trusted by 750+ companies and performing 200k+ code scans monthly.

TradeStaq is an AI-native crypto trading platform. Describe a strategy in plain English and FORGE, its AI engine, writes the strategy code — or write your own in JavaScript. Backtest on real historical data, optimize automatically, and deploy trading bots across 15+ exchanges and DEXs (Binance, Bybit, OKX, Bitget, Hyperliquid, and more) in one click. Unlike 3Commas or Cryptohopper, TradeStaq gives full code-level strategy control plus AI generation and optimization — with a genuine free tier. Features: grid, DCA and signal bots; TradingView webhook execution; backtesting and paper trading; a verified-P&L leaderboard with copy trading; a strategy marketplace; and native Model Context Protocol (MCP) tools to trade from Claude, Cursor, and any AI agent. Transparent subscription pricing (free; paid from $25/month), no per-trade fees, no cut of your profits.

MindStaq is an AI-native work management platform that helps organizations manage all work, not just projects — across roles from a single source of truth. Most teams don't have a productivity problem; they have a tool-sprawl problem. Conversations live in one app, tasks in another, documents in a third, and AI in a fourth fragmenting context across disconnected silos. MindStaq collapses that sprawl into one workspace where your work and your AI operate on the same data. Key capabilities: * Model-agnostic AI built into the foundation — route tasks to GPT, Gemini, Claude, and others without vendor lock-in * Quick Chat, Quick Note, and a unified My Library for instant capture and retrieval * Private Staqs for personal work and shared Projects for team efforts * Context-aware AI scoped to each project — no re-explaining, no copy-paste * Built-in token tracking for cost visibility and governance One workspace. Many models. Your work and your AI, finally together.

Pushpay is a leading technology company that delivers digital solutions to help churches achieve their missions. Our leading ChurchStaq, ParishStaq, and Resi Media suites simplify engagement, giving, administration, and video streaming—enabling our more than 14,500 customers to increase generosity, drive participation, and build stronger relationships with their communities.

Sentrint scans the repository behind your AI-built app to surface exploitable security risks and guide you to a fix. It analyzes secrets, database access rules, dependencies, and risky code paths, then uses an AI layer to cut false positives and draft a platform-specific fix prompt for tools like Claude, Gemini, Cursor, and more. Reports grade your risk, explain each finding in plain English, and verify improvements across rescans, with strict privacy and ephemeral scanning enforced.

depthfirst is an AI-native application security platform designed to help organizations detect, prioritize, and fix software vulnerabilities by deeply understanding their code, infrastructure, and business logic as a unified system. depthfirst, built around its core “General Security Intelligence,” analyzes entire repositories and environments to map how systems actually function, enabling it to uncover complex, real-world vulnerabilities that traditional scanners often miss. It evaluates full attack paths, permissions, and data flows to determine whether an issue is truly exploitable, significantly reducing false positives and allowing teams to focus only on meaningful risks. depthfirst operates across multiple layers of the stack, including source code, dependencies, secrets, containers, and running applications, providing continuous security coverage from development through production.

DryRun Security brings AI Native SAST and Agentic Code Security to your code, so application security and dev teams can stop triaging noise and start fixing real risk. Our Contextual Security Analysis (CSA) engine reasons about code intent, exploitability, and impact to deliver high-signal findings that pattern-matching scanners miss. Use the Code Review Agent for PR comments and checks within moments of a push. Enforce guardrails with Natural Language Code Policies, written in plain English and executed by the Custom Policy Agent on every PR. Run DeepScan Agent for an on-demand full-repo assessment in about an hour, and use Code Insights Agent to see trends and risk across repos.

JobStaq will help automate and simplify the administrative functions of a gas engineer and business owners. This will create a more professional customer impression, result in more higher margin jobs and mean gas engineers can spend increased time working at for customers rather than managing paperwork. Our software is available online for office use, and as an app on the App Store and Google Play store to allow engineers to access data offline while on site. Our software is designed to support both sole traders who both manage their own schedule and perform field work, in addition to larger companies, where office staff are responsible for scheduling work and keeping in contact with customers. We offer a free 30 day trial to allow you to evaluate whether JobStaq is right for your business without any risk, and offer several subscription plans so you can pick the features which are needed for your business.

There are more security companies than ever, building more solutions than ever, while more attacks get through than ever. It’s clear that setting new mousetraps isn’t the answer. Reach gives you a better way to protect your business. Get instant clarity on attacks against your workforce, risk hotspots, and untapped security features. Reach understands who the attackers are, what the targets mean for you, and how each attack works, in detail. Reach analyzes millions of data points to understand how you’re being attacked and determine the best possible response, tailored to the risks you’re facing and the tools you have available. Tune configurations, remediate gaps, and ensure security controls are optimized, automatically or with one click. Reach delivers configurations as code, end-to-end automation, and detailed deployment guides that can be parsed into change control tickets.

GPT-5.4-Cyber is a specialized, cyber-permissive variant of GPT-5.4 designed specifically to support defensive cybersecurity workflows, enabling security professionals to analyze, detect, and remediate vulnerabilities more effectively. It is fine-tuned to lower the refusal boundary for legitimate security tasks, allowing deeper engagement with activities such as vulnerability research, exploit analysis, and secure code evaluation that are typically restricted in general-purpose models. A key capability includes binary reverse engineering, which allows the model to analyze compiled software without access to source code to identify malware potential, weaknesses, and overall system robustness. Integrated within OpenAI’s Trusted Access for Cyber (TAC) program, the model is distributed through a tiered access system that requires identity verification and progressive trust levels, ensuring that only vetted defenders, researchers, and organizations can access its most advanced features.

Cosmian’s Data Protection Suite delivers a comprehensive, next-generation cryptography platform to secure sensitive data and applications in use, at rest, and in motion across cloud and edge environments. It includes Cosmian Covercrypt, a high-performance hybrid classical and post-quantum encryption library with traceable, fine-grained access control; Cosmian KMS, an open-source, centralized key management system that enables massive client-side encryption on the fly; and Cosmian VM, a plug-and-play, verifiable confidential virtual machine that continuously cryptographically verifies its own integrity without disrupting existing workflows. An AI Runner (“Cosmian AI”) operates within the confidential VM to enable secure model training, querying, and fine-tuning, no coding required. All components integrate via simple APIs and deploy rapidly through AWS, Azure, or Google Cloud marketplaces, empowering organizations to build zero-trust architectures.

EarlyCore is a security platform built for AI agents. It automates pre-production attack testing, real-time monitoring, and compliance reporting across the full agent lifecycle. Scans agents against thousands of attack scenarios covering prompt injection, jailbreaking, data exfiltration, tool misuse, and supply chain threats. In production, tracks every agent action, establishes behavioral baselines, and flags anomalies in real time. Alerts push to Slack, email, or webhooks. Compliance docs generate automatically, mapped to ISO 42001, NIST AI RMF, EU AI Act, SOC 2, and GDPR. Always audit-ready. Deploys in 15 minutes with zero code changes. Integrates with AWS Bedrock, Gemini Enterprise Agent Platform, LangChain, and more. Multi-tenant support for agencies and MSSPs. Built for security teams, agencies, and MSSPs securing AI agents at scale.

ZeroLeaks is an AI prompt security platform that helps organizations identify and fix exposed system prompts, internal tools, and logic vulnerabilities that could allow prompt injection, prompt extraction, or other forms of leakage that expose internal instructions or intellectual property to unauthorized actors. It provides an interactive dashboard where users can scan system prompts manually or automate scanning via CI/CD integration to catch leaks and injection vectors before code is deployed, and it uses an AI-powered red-team-style analysis engine to assess prompt surfaces for logic flaws, extraction risks, and potential misuse with evidence, scoring, and remediation recommendations. ZeroLeaks targets enterprise-grade security for large-language-model-based products by offering vulnerability assessments that highlight prompt exposure depth, prioritized risks, proof, and access paths for issues found, and suggested fixes such as prompt restructuring, tool gating, etc.

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.

Darktrace / SECURE AI is an AI security solution that brings every AI interaction across an organization into a single view, helping teams understand intent, assess risk, protect sensitive data, and support policy alignment. It monitors prompts, sessions, and responses in real time across enterprise GenAI tools such as Microsoft Copilot and ChatGPT Enterprise, low-code environments including Microsoft Copilot Studio, high-code platforms such as Amazon Bedrock and SageMaker, SaaS applications, and SASE. Behavioral analytics distinguish normal, business-aligned activity from significant or risky deviations, detecting conversational prompt attacks, malicious chaining, and unsafe actions without relying only on historical attack patterns. Darktrace learns directly from the environment it protects, allowing it to identify novel and AI-related threats on first encounter.

Reclaim Security is an AI-driven cybersecurity platform designed to automatically identify and fix security exposures across an organization’s existing security tools and infrastructure. Instead of simply detecting vulnerabilities or generating alerts, it focuses on automated remediation, helping security teams resolve misconfigurations, enforce security policies, and reduce risk without requiring extensive manual intervention. It scans the organization’s security stack, including cloud environments, identity platforms, endpoint protection tools, and other defenses, to identify gaps, weak configurations, or ineffective controls that could be exploited by attackers. Once risks are detected, it analyzes them in the context of real-world attack techniques and prioritizes the issues that pose the greatest threat. It then proposes remediation actions and can automatically deploy those changes once approved, ensuring security configurations remain optimized.

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.

Your AI algorithms represent a unique competitive advantage for your company and come at a considerable expense. A successful adversarial attack against them could cost you that advantage and you would never know it happened. HiddenLayer is the first productized solution for the next security frontier – your AI. HiddenLayer offers a drop-in software approach that provides a lightweight, real-time awareness of your model’s health and attack surface — without ever needing insight into it or the training set used to create it. Most adversarial AI security firms need to engage panels of expensive experts to take your algorithm apart and harden it from the inside, adding complexity and cost. HiddenLayer was founded by ML professionals and security specialists with first-hand experience of how insidious adversarial ML attacks can be to detect and defend against.

middleBrick is a zero-friction security scanner for APIs and AI models designed for high-performance engineering teams. Unlike traditional scanners that require complex agents or credentials, middleBrick delivers a comprehensive security audit in under 60 seconds by simply analyzing an endpoint URL. Coverage includes 14 critical security categories: Full OWASP API Top 10 (BOLA/IDOR, BFLA, Mass Assignment, SSRF). AI/LLM Security: 18 adversarial probes testing for prompt injection, jailbreaks, and leakage. Web3 & DeFi: Specialized scanning for JSON-RPC nodes (Ethereum, Solana, Cosmos) and price oracle integrity. Integrated for modern workflows with a GitHub Action, CLI, and an MCP server for Claude and Cursor. middleBrick provides prioritized findings with production-ready remediation steps to help you ship secure code today. It is the "smoke alarm" for your API infrastructure, always on, only alerting you when there is a fire.

The Command Platform provides attack surface visibility designed to accelerate operations and create a more comprehensive security picture you can trust. Focus on real risks with more complete visibility of your attack surface. The Command Platform allows you to pinpoint security gaps and anticipate imminent threats. Detect and respond to real security incidents across your entire network. With relevant context, recommendations and automation, expertly respond every time. Backed by a more comprehensive attack surface view, the Command Platform unifies endpoint-to-cloud exposure management and detection and response, enabling your team to confidently anticipate threats and detect and respond to cyber attacks. A continuous 360° attack surface view teams can trust to detect and prioritize security issues from endpoint to cloud. Attack surface visibility with proactive exposure mitigation and remediation prioritization across your hybrid environment.

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.

Train your team to defend against the latest cyber attacks with our complete cybersecurity platform. Run hyper-realistic, scarily personalized attack simulations in just a few clicks. Phishing attacks are responsible for more than 80% of reported security incidents an about 90% of data breaches. Replicate techniques used by today's attackers to help your people spot and stop AI-generated threats, With tests and training materials tailored to each team member we help you increase cyber security efficiency.

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.

XBOW is an AI-powered offensive security platform that autonomously discovers, verifies, and exploits vulnerabilities in web applications without human intervention. By executing high-level commands against benchmark descriptions and reviewing outputs it solves a wide array of challenges, from CBC padding oracle and IDOR attacks to remote code execution, blind SQL injection, SSTI bypasses, and cryptographic exploits, achieving success rates up to 75 percent on standard web security benchmarks. Given only general instructions, XBOW orchestrates reconnaissance, exploit development, debugging, and server-side analysis, drawing on public exploits and source code to craft custom proofs-of-concept, validate attack vectors, and generate detailed exploit traces with full audit trails. Its ability to adapt to novel and modified benchmarks demonstrates robust scalability and continuous learning, dramatically accelerating penetration-testing workflows.

Constellation Gate AI is a drop-in defense layer for AI agents, built to sit between the agent and the model while screening every request for attacks and leaks. Gate acts as an inline gateway for coding agents and model APIs, protecting workflows without requiring major code changes. Users can point existing tools such as Claude Code, Cursor, OpenClaw, Codex, or OpenCode at Gate and inherit prompt-injection defense, secret scanning, PII redaction, token optimization, and a verifiable audit trail. The platform is designed around three real risks: prompt injection, credential and PII leakage, and hijacked tool calls. Instead of relying on the model to defend itself, Gate blocks attacks before they reach the model, redacts secrets before responses return, and stops attacker-controlled tool outputs before an agent acts on them. Gate accepts the same calls an agent already makes, forwards them to the model, scans every call and response in both directions.

DeepKeep is an AI security platform that helps organizations securely build, deploy, and use AI applications, agents, models, and employee AI tools. It addresses risks traditional security controls were not designed for, including prompt injection, sensitive data leakage, hallucinations, unsafe outputs, agent misuse, malicious models, and shadow AI. DeepKeep secures the full AI lifecycle through automated and Vibe AI Red Teaming, real-time AI Firewall and guardrails, AI Usage Control, AI Agent Scanner, and Model Scanning. It enables security teams to identify vulnerabilities before deployment, map agent attack surfaces, inspect models, control employee AI usage, and protect AI interactions in production. DeepKeep is model-agnostic, multimodal, and natively multilingual. It supports SaaS, private cloud, on-premises, and air-gapped deployments, helping enterprises secure AI while meeting privacy, sovereignty, and regulatory requirements.

The software development lifecycle has fundamentally changed. Developers across engineering organizations are using AI coding tools — GitHub Copilot, Cursor, Windsurf, Claude Code, Gemini CLI — at scale. The security controls built for traditional development were not designed for this environment. Backslash Security addresses this gap directly. The platform gives security teams visibility into AI coding tool usage, the code being generated, MCP server connections made by AI agents, and the risk introduced before it reaches production. Core capabilities: AI coding tool inventory and policy enforcement MCP server visibility and access control Vibe coding security — risk detection in AI-generated code Continuous monitoring without disrupting engineering workflows Purpose-built for AI-native development — not a legacy scanner repositioned for a new market. For security leaders governing an environment they didn't design, Backslash provides the visibility and control you need.

Antares is a family of open-weight security small language models purpose-built to localize known vulnerabilities inside large codebases. Antares-350M and Antares-1B are compact enough to run locally or on premises, helping teams keep proprietary source code inside their environment while reducing inference cost and runtime. Starting from a vulnerability description, advisory, or CWE category, the model follows an iterative investigation process similar to a human analyst, it searches for relevant code patterns, reads candidate files, incorporates new evidence, changes direction when a path is unproductive, and narrows the search to the files most likely to contain the weakness. Antares returns a ranked list of potentially vulnerable source files together with the terminal exploration trace that produced the result, making findings easier to review and prioritize.

Blink is an ROI force multiplier for security teams and business leaders looking to quickly and easily secure a wide variety of use cases. Get full visibility and coverage of alerts across your organization and security stack. Utilize automated flows to reduce noise and false positives in alerts. Scan for attacks and proactively identify insider threats and vulnerabilities. Create automated workflows that add relevant context, streamline communications, and reduce MTTR. Take action on alerts and improve your cloud security posture with no-code automation and generative AI. Shift-left access requests, streamline approvals flows, and unblock developers while keeping your applications secure. Continuously monitor your application for SOC2, ISO, GDPR, or other compliance checks and enforce controls.

Protect your people against evolving threats with our AI-native security platform that stays a step ahead of bad actors. Keep your team alert with our on-demand red teaming platform, simulating social engineering attacks on mobile. ​ Choose from ever-evolving scenarios that mimic real-world threats. Identify risks among indviduals and groups based on detailed engagement reports. Stay informed on global attack trends. Deploy our mobile defense for comprehensive protection across SMS, WhatsApp, and voice calls. ​ Our system uses advanced AI to discern attackers' intentions, blocking attacks even when their tactics change.

Empower your defenders to detect hidden patterns, harden defenses, and respond to incidents faster with generative AI—now in preview. During an attack, complexity can cost you. Synthesize data from multiple sources into clear, actionable insights and respond to incidents in minutes instead of hours or days. Triage signals at machine speed, surface threats early, and get predictive guidance to help you thwart an attacker’s next move. The demand for skilled defenders vastly exceeds the supply. Help your team make the most impact and build their skills with step-by-step instructions for mitigating risks. Ask Microsoft Security Copilot questions in natural language and receive actionable responses. Identify an ongoing attack, assess its scale, and get instructions to begin remediation based on proven tactics from real-world security incidents. Microsoft Security Copilot integrates insights and data from security tools and delivers guidance that’s tailored to your org.

Balbix automatically analyzes the enterprise attack surface using specialized AI to provide a 100x more accurate view of breach risk. The platform continuously identifies and prioritizes vulnerabilities and other risk items, dispatching them for automatic and supervised mitigation. Balbix helps you reduce cyber risk by 95%, while making your security team 10x more efficient. Most data breaches happen because of known security issues which are missed and not fixed. Security teams try to discover and mitigate vulnerabilities but can’t keep up! To accurately quantify breach risk, Balbix continuously analyzes up to several hundred billion time-varying signals from your network. Balbix dispatches prioritized tickets with relevant context to risk owners for automatic and supervised mitigation. Leaderboards and incentives can be set up for a gamified approach to cyber risk reduction.

Hunters, the first autonomous AI-powered next-gen SIEM & threat hunting solution, scales expert threat hunting techniques and finds cyberattacks that bypass existing security solutions. Hunters autonomously cross-correlates events, logs, and static data from every organizational data source and security control telemetry, revealing hidden cyber threats in the modern enterprise, at last. Leverage your existing data to find threats that bypass security controls, on all: cloud, network, endpoints. Hunters synthesizes terabytes of raw organizational data, cohesively analyzing and detecting attacks. Hunt threats at scale. Hunters extracts TTP-based threat signals and cross-correlates them using an AI correlation graph. Hunters’ threat research team continuously streams attack intelligence, enabling Hunters to constantly turn your data into attack knowledge. Respond to findings, not alerts. Hunters provides high fidelity attack detection stories, significantly reducing SOC response times.

SimSpace provides a realistic cyber range and AI proving ground for validating, operationalizing, and building AI agents alongside human operators inside a digital replica of a production environment. Security teams can continuously stress-test agentic and human defenses against realistic user behavior, attack emulation, and LLM-driven threats before they reach production. It reproduces actual infrastructure, tools, data schemas, workflows, and playbooks so organizations can evaluate how agents behave under real operating conditions rather than relying on representative test environments. SimSpace assesses not only outcomes but also the complete trajectory of an agent’s behavior, including tool calls, escalation gates, and error recovery, helping identify agents that reach the right result for the wrong reasons. Validation can run continuously through headless, API-driven workflows designed for CI/CD environments as models and playbooks evolve.

We help you enable AI transformation by protecting it from cyber threats, privacy issues, and safety incidents. We help you understand how cybercriminals could exploit AI applications based on information about your AI models, data, and environment. We help you test your AI application resilience with scenario-based attack simulation by a motivated threat actor with advanced capabilities. We help you audit your AI application integrity with a comprehensive analysis based on robustness-focused stress testing methodology. We’ve developed a new attack on AI-driven facial recognition systems, due to this attack, an AI system will recognize you as a different person.

Enkrypt AI is an agentic AI security and compliance platform designed to protect AI applications, models, agents, and their interactions throughout deployment. The platform combines continuous red teaming, real-time guardrails, monitoring, and policy enforcement to help organizations identify and mitigate AI security, safety, compliance, and brand risks. Enkrypt AI dynamically tests AI systems with use-case-specific attacks to uncover issues such as prompt injection, jailbreaking, data leakage, hallucinations, bias, harmful content, model drift, and unsafe agent actions. Real-time guardrails analyze AI interactions and block threats as they occur while adapting to changing prompts and emerging risks. Its compliance capabilities translate internal policies and external regulations into automated controls while producing evidence that organizations can use for audits and governance.

ARTEMIS by Repello AI hunts for vulnerabilities in your AI applications by simulating attacks that malicious actors would use. ARTEMIS tests, identifies, and helps remediate security risks before they can be exploited in production environments. This is powered by world's largest AI-specific threat intelligence repositories. Key Features: 1. Simulates real-world attacks against your AI systems 2. Maps vulnerabilities across your AI infrastructure 3. Provides actionable mitigation recommendations 4. Adapts to evolving threats as your AI applications grow Built by security engineers to protect AI from attackers. Secure your AI early in development and throughout deployment.

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.

Raven is a runtime application security platform designed to protect cloud-native applications by operating directly inside the application during execution, rather than relying on external defenses. It provides real-time visibility into how code actually runs, allowing it to understand execution flows, libraries, and function-level behavior in order to detect and stop malicious activity before it occurs. Unlike traditional tools such as WAF or EDR that monitor from the outside, Raven embeds itself within the application, enabling it to prevent exploits, supply chain attacks, and zero-day threats even when no known vulnerability or CVE exists. It continuously monitors runtime behavior, identifies abnormal patterns or misuse of legitimate logic, and responds immediately to block harmful execution. It also helps teams prioritize security efforts by filtering out the majority of irrelevant vulnerabilities and focusing only on those that are truly exploitable.

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.

Scanner.dev is a cloud-native security data lake and lightweight security information and event management (SIEM) platform that indexes logs directly in your own Amazon S3 buckets, letting you retain unlimited logs and run full-text searches across petabytes of data in seconds without additional ETL or schema requirements. It builds lightweight indexes that make any log format instantly searchable and supports hyper-fast search and investigation, continuous threat detection with customizable detection rules managed as code via GitHub, and integrated alerting with APIs for automation and integration into existing security workflows. Scanner’s streaming detection engine continuously evaluates rule queries in near real time and can backtest detection logic against historical data, while its API and Model Context Protocol (MCP) enable programmatic access and AI-assisted analysis of security data.

With SydeLabs you can preempt vulnerabilities and get real-time protection against attacks and abuse while staying compliant. The lack of a defined approach to identify and address vulnerabilities within AI systems impacts the secure deployment of models. The absence of real-time protection measures leaves AI deployments susceptible to the dynamic landscape of emerging threats. An evolving regulatory landscape around AI usage leaves room for non-compliance and poses a risk to business continuity. Block every attack, prevent abuse, and stay compliant. At SydeLabs we have a comprehensive solution suite for all your needs around AI security and risk management. Obtain a comprehensive understanding of vulnerabilities in your AI systems through ongoing automated red teaming and ad-hoc assessments. Utilize real-time threat scores to proactively prevent attacks and abuses spanning multiple categories, establishing a robust defense against your AI systems.

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.

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.

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.