Alternatives to MAI-Cyber-1-Flash
Compare MAI-Cyber-1-Flash alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to MAI-Cyber-1-Flash in 2026. Compare features, ratings, user reviews, pricing, and more from MAI-Cyber-1-Flash competitors and alternatives in order to make an informed decision for your business.
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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.
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Criminal IP
AI SPERA
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. -
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Vulcan Cyber
Vulcan Cyber
At Vulcan Cyber we’re changing the way businesses reduce cyber risk through vulnerability remediation orchestration. We help IT security teams go beyond remedial vulnerability management to help them drive vulnerability remediation outcomes. The Vulcan platform consolidates vulnerability and asset data, with threat intelligence and customizable risk parameters to deliver risk-based vulnerability prioritization insights. But we don't stop there. Vulcan remediation intelligence takes the vulnerabilities that matter to your business and attaches the remedies and fixes needed to mitigate the threat. Then Vulcan orchestrates and measures the rest of the remediation process with integrations and inputs into application security, DevSecOps, patch management, configuration management, and cloud security tools, teams and functions. From scan to fix, Vulcan Cyber delivers the unique ability to orchestrate the entire vulnerability remediation process to GET FIX DONE at scale.Starting Price: $999 / month -
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Claude Fable 5
Anthropic
Claude Fable 5 is an advanced AI model from Anthropic designed to assist with software engineering, research, knowledge work, vision tasks, and complex reasoning. Built on the Mythos-class architecture, it delivers significantly improved performance across coding, analysis, and long-context workflows. The model can handle extended autonomous tasks while maintaining focus and consistency over large amounts of information. Claude Fable 5 integrates advanced reasoning, multimodal understanding, and memory capabilities to support professional and enterprise use cases. Anthropic has implemented specialized safeguards that automatically route certain high-risk cybersecurity, biology, chemistry, and model distillation requests to a different model. Claude Fable 5 helps organizations and professionals accelerate complex work while maintaining strong safety and governance controls.Starting Price: $10 per 1 million (input) -
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Claude Mythos 5
Anthropic
Claude Mythos 5 is Anthropic’s most advanced restricted-access AI model, designed for trusted cyberdefenders, infrastructure providers, and select research organizations. It uses the same underlying model as Claude Fable 5 but provides lifted safeguards in approved areas for specialized high-trust use cases. The model delivers exceptional capabilities in cybersecurity, software engineering, scientific research, long-context reasoning, vision, and autonomous task execution. Anthropic initially deployed Claude Mythos 5 through Project Glasswing in collaboration with the U.S. government to help protect critical software and infrastructure. The model also shows strong potential in life sciences, including protein design, molecular biology hypothesis generation, and genomics research. Claude Mythos 5 is built for organizations that need frontier AI capabilities under controlled, trusted-access conditions.Starting Price: $10 per 1 million (input) -
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GPT-5.6 Sol
OpenAI
GPT-5.6 Sol is a next-generation OpenAI model designed for advanced reasoning, coding, agentic workflows, biology analysis, cybersecurity support, and complex knowledge work. It is part of the GPT-5.6 model family alongside Terra and Luna, with Sol positioned as the flagship model for the most demanding tasks. The model introduces a new max reasoning effort for deeper thinking and an ultra mode that uses subagents to accelerate complex work beyond a single-agent approach. GPT-5.6 Sol shows strong performance in command-line coding workflows, long-horizon security tasks, genomics analysis, vulnerability research, debugging, patch development, and defensive testing. OpenAI pairs the model’s stronger capabilities with layered safeguards, real-time misuse classifiers, account-level review, automated red-teaming, and enterprise controls for sensitive workflows. GPT-5.6 Sol helps developers, enterprises, researchers, and security teams complete sophisticated technical work.Starting Price: $5 per 1M tokens (input) -
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Gemini 3.6 Flash
Google
Gemini 3.6 Flash is Google’s newest Flash model built for efficient, reliable, production-scale AI agents. The model improves on Gemini 3.5 Flash with stronger coding, knowledge work, multimodal performance, computer use, and agentic workflow execution. Gemini 3.6 Flash is designed to use fewer output tokens, take fewer reasoning steps, reduce unnecessary tool calls, and lower the cost of complex AI tasks. It supports document parsing, chart analysis, data analysis, report drafting, code migrations, visual understanding, and multi-agent orchestration. The model is available through the Gemini API, Google AI Studio, Android Studio, Google Antigravity, Gemini Enterprise Agent Platform, Gemini Enterprise app, and the Gemini app. Built for developers and enterprises, Gemini 3.6 Flash helps teams build faster, lower-cost, and more capable AI agents across coding, analysis, productivity, and multimodal workloads.Starting Price: $1.50 per 1M tokens (input) -
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Gemini 3.5 Pro
Google
Gemini 3.5 Pro is Google’s anticipated next-generation Pro model in the Gemini 3.5 series, designed for advanced reasoning, coding, multimodal understanding, and agentic workflows. It is expected to build on Google’s Gemini 3 family with stronger performance for complex tasks that require planning, context handling, tool use, and deep problem solving. The model is aimed at users who need more power than faster Flash models for demanding development, research, automation, and enterprise AI use cases. Gemini 3.5 Pro is expected to support sophisticated workflows across text, code, files, multimodal inputs, and connected tools. Developers and organizations will likely use it through Google’s AI platforms for building assistants, agents, coding tools, analysis systems, and productivity applications. As an upcoming Pro-tier model, Gemini 3.5 Pro is positioned for high-value workloads where accuracy, reasoning quality, and advanced task execution matter more than maximum speed. -
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GPT-5.5-Cyber
OpenAI
GPT-5.5-Cyber is an advanced cybersecurity-focused AI model designed for verified defenders working on authorized security research, vulnerability discovery, and remediation. The model pairs stronger cyber capabilities with more permissive behavior for specialized workflows that require deep analysis across complex software environments. It can help identify security-relevant components, trace vulnerable code paths, validate likely issues in controlled settings, develop and test patches, and prepare evidence for human review. GPT-5.5-Cyber is built to support the full remediation loop rather than simply generating more findings. The model shows stronger benchmark performance than GPT-5.5 on CyberGym, ExploitGym, and SEC-bench Pro, reflecting improvements in vulnerability reproduction, exploit reasoning, and long-horizon security tasks. GPT-5.5-Cyber is intended for advanced, authorized cybersecurity work with verification, monitoring, scoped controls, and review. -
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Fugu Cyber
Sakana AI
Fugu Cyber is a specialized multi-agent orchestration model purpose-built for modern cyber defense. It behaves like a single model through one API endpoint, but dynamically coordinates specialized agents to solve complex, multi-step security tasks without depending on one model provider. It focuses on two core defense workflows, analyzing complex codebases to verify real-world vulnerabilities and translating raw cyber threat intelligence into working detection rules. On CyberGym, which evaluates vulnerability analysis and verification, Fugu Cyber achieved an 86.9% success rate; on CTI-REALM, which measures detection-rule generation from threat reports, it reached 72.1%, placing it alongside leading cyber-focused frontier models. Fugu Cyber is intended to work as the reasoning engine inside broader security systems rather than as a standalone solution.Starting Price: $6 per 1M tokens (input) -
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Gemini 3.5 Flash Cyber
Google
Gemini 3.5 Flash Cyber is a specialized cyber-focused model built on Gemini 3.5 Flash and fine-tuned to find, validate, and fix cybersecurity vulnerabilities efficiently at scale. It is designed for defensive security workflows where organizations need to identify critical weaknesses faster and generate reliable patches before those issues can be exploited. Flash’s combination of performance and efficiency makes it a strong foundation for scanning code, reasoning about security flaws, validating whether findings are real, and proposing targeted remediations across large software environments. Within CodeMender, multiple Gemini 3.5 Flash Cyber agents work together and combine their findings into a single report, helping the system investigate vulnerabilities from different angles and improve the quality of the final result. This coordinated agent setup delivers competitive frontier performance on CyberGym, a benchmark for evaluating cybersecurity capabilities. -
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Gemini 3.5 Flash
Google
Gemini 3.5 Flash is Google’s latest frontier AI model designed to combine advanced intelligence, high-speed performance, and agentic workflow execution for developers, enterprises, and everyday users. Built as part of the Gemini 3.5 family, the model excels at coding, long-horizon reasoning, multimodal understanding, and complex multi-step automation tasks while delivering significantly faster output speeds than many competing frontier models. Gemini 3.5 Flash powers AI agents capable of planning, executing, and managing workflows such as application development, codebase maintenance, data analysis, and financial document preparation through the Antigravity harness. The model also supports rich multimodal experiences by generating interactive graphics, dynamic web interfaces, animations, and advanced visual content. Gemini 3.5 Flash is integrated across Google products including the Gemini app, Google Search AI Mode, Google Antigravity, Google AI Studio, Android Studio, and more.Starting Price: $1.50 per 1M tokens (input) -
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GPT-6
OpenAI
GPT-6 is an upcoming OpenAI model expected to represent the next major generation of the GPT model family. While OpenAI has not yet published an official GPT-6 launch page, model card, API ID, pricing, benchmark report, or availability timeline, GPT-6 is likely to build on the direction of the current GPT-5.6 family. As an upcoming model, GPT-6 would be expected to advance reasoning, coding, multimodal understanding, agentic workflows, computer use, and professional knowledge work. It may also extend OpenAI’s work on safer deployment, stronger evaluation, and more capable enterprise and developer tools. Teams should treat GPT-6 as a future model rather than a currently available product until OpenAI releases official documentation. Built for developers, enterprises, researchers, and AI power users, GPT-6 is expected to support the next wave of advanced AI applications once publicly released. -
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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. -
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Codename MDASH
Microsoft
Codename MDASH is an agentic code scanner in Microsoft Defender that uses a multi-model AI system to detect, validate, and remediate vulnerabilities with greater depth than traditional static analysis. It extends Defender CLI with a multistage pipeline in which specialized agents collaborate across four stages. Prepare ranks files by risk using call-graph analysis and code-complexity metrics, prioritizing functions most likely to contain vulnerabilities. Scan sends ranked code to more than 100 expert agents, including injection, memory-safety, and auth-bypass auditors, with each agent focused on a specific vulnerability class. Validate combines taint analysis, type resolution through Language Server Protocol servers, and multi-model agentic debate to refine confidence and reduce false positives. Dedup consolidates overlapping results into a final set of unique actionable findings. -
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GPT‑5.4‑Cyber
OpenAI
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.Starting Price: Free -
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Claude Mythos
Anthropic
Claude Mythos Preview is a highly advanced AI model developed with strong capabilities in cybersecurity, particularly in identifying and exploiting software vulnerabilities. It demonstrates the ability to autonomously discover zero-day vulnerabilities across major operating systems, browsers, and critical software systems. The model can also generate complex exploit chains, including privilege escalation and remote code execution attacks. Its capabilities extend beyond vulnerability detection to reverse engineering and exploit development in both open-source and closed-source environments. Mythos Preview operates through agentic workflows, enabling it to analyze codebases, test hypotheses, and validate exploits independently. These abilities represent a significant leap compared to previous models, which struggled with exploit generation. Overall, Claude Mythos Preview highlights a new era where AI can both strengthen and challenge global cybersecurity practices. -
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Gemini 3.5 Flash-Lite
Google
Gemini 3.5 Flash-Lite is Google’s fastest model in the Gemini 3.5 series, designed for low-latency tasks and high-throughput developer workflows such as agentic search, document processing, coding, and large-scale data analysis. It delivers 350 output tokens per second and significantly improves on previous Flash-Lite generations in both quality and agentic performance. Developers can configure its thinking level to match the workload: minimal or low thinking supports fast execution for high-volume tasks, while higher thinking levels enable more complex, multi-step subagent workflows. Built-in computer-use capabilities allow the model to interact reliably with digital environments across supported surfaces. Gemini 3.5 Flash-Lite also advances coding, long-context understanding, and real-world task execution, outperforming Gemini 3.1 Flash-Lite across key evaluations and even surpassing Gemini 3 Flash on several agentic and software-engineering benchmarks.Starting Price: $0.30 per 1M input tokens -
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Andesite
Andesite
Andesite is focused on improving the capabilities and efficiencies of cyber defense teams. Its advanced AI-driven technology is built to simplify cyber threat decision-making by accelerating the process of turning decentralized data sets into actionable insights. This empowers cyber defenders and analysts to more quickly surface threats and vulnerabilities, prioritize and allocate resources, and respond and remediate in a way that improves security posture and reduces cost. Andesite was built by an analyst-obsessed technology team, with the company mission predicated on supercharging analysts while reducing their burden of work. -
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Antares
Cisco
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. -
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Gemini 3 Flash
Google
Gemini 3 Flash is Google’s latest AI model built to deliver frontier intelligence with exceptional speed and efficiency. It combines Pro-level reasoning with Flash-level latency, making advanced AI more accessible and affordable. The model excels in complex reasoning, multimodal understanding, and agentic workflows while using fewer tokens for everyday tasks. Gemini 3 Flash is designed to scale across consumer apps, developer tools, and enterprise platforms. It supports rapid coding, data analysis, video understanding, and interactive application development. By balancing performance, cost, and speed, Gemini 3 Flash redefines what fast AI can achieve. -
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MAI-Code-1-Flash
Microsoft AI
MAI-Code-1-Flash is a Microsoft coding model built for fast, efficient assistance in everyday developer workflows. Built end-to-end by Microsoft using clean and appropriately licensed data, the model is rolling out to GitHub Copilot individual users in Visual Studio Code through the model picker and the default Auto picker. It is designed around the goal of delivering high-quality coding help with better efficiency, helping engineering teams write better code faster through a lightweight, agentic model integrated into GitHub Copilot and VS Code. MAI-Code-1-Flash was trained directly with GitHub Copilot production harnesses, allowing it to interact with surrounding tools and systems in real developer environments rather than being optimized only for static benchmarks. It supports agentic coding, strong instruction-following across single-turn and multi-turn scenarios, repository question answering, refactoring, telemetry-grounded tasks, and adaptive thinking. -
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GLM-4.5V-Flash
Zhipu AI
GLM-4.5V-Flash is an open source vision-language model, designed to bring strong multimodal capabilities into a lightweight, deployable package. It supports image, video, document, and GUI inputs, enabling tasks such as scene understanding, chart and document parsing, screen reading, and multi-image analysis. Compared to larger models in the series, GLM-4.5V-Flash offers a compact footprint while retaining core VLM capabilities like visual reasoning, video understanding, GUI task handling, and complex document parsing. It can serve in “GUI agent” workflows, meaning it can interpret screenshots or desktop captures, recognize icons or UI elements, and assist with automated desktop or web-based tasks. Although it forgoes some of the largest-model performance gains, GLM-4.5V-Flash remains versatile for real-world multimodal tasks where efficiency, lower resource usage, and broad modality support are prioritized.Starting Price: Free -
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Reka Flash 3
Reka
Reka Flash 3 is a 21-billion-parameter multimodal AI model developed by Reka AI, designed to excel in general chat, coding, instruction following, and function calling. It processes and reasons with text, images, video, and audio inputs, offering a compact, general-purpose solution for various applications. Trained from scratch on diverse datasets, including publicly accessible and synthetic data, Reka Flash 3 underwent instruction tuning on curated, high-quality data to optimize performance. The final training stage involved reinforcement learning using REINFORCE Leave One-Out (RLOO) with both model-based and rule-based rewards, enhancing its reasoning capabilities. With a context length of 32,000 tokens, Reka Flash 3 performs competitively with proprietary models like OpenAI's o1-mini, making it suitable for low-latency or on-device deployments. The model's full precision requires 39GB (fp16), but it can be compressed to as small as 11GB using 4-bit quantization. -
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Gemini 4
Google
Gemini 4 is Google’s next-generation Gemini model family currently in development after the release of Gemini 3.6 Flash and Gemini 3.5 Flash-Lite. Google has confirmed that pre-training for Gemini 4 has begun, positioning it as the company’s most ambitious model training effort yet. The model is expected to advance Google’s frontier AI work across reasoning, coding, multimodal understanding, agentic workflows, and enterprise AI use cases. Because Gemini 4 has not been publicly released yet, official pricing, model cards, benchmarks, API details, and availability have not been published. Gemini 4 follows Google’s broader Gemini strategy of building models for developers, enterprises, consumer apps, and AI-powered products across Google’s ecosystem. Built for the next stage of AI agents and intelligent applications, Gemini 4 is likely to become a major foundation for future Google AI products once it becomes available. -
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SAGE
HolistiCyber
SAGE, an AI-driven, cyber defense platform, supports the CISOs mission to build and operate an effective and efficient cyber defense plan. It keeps the defense plan relevant and dynamic, automatically ingesting all reports and assessments by various vendors, and its AI connects and analyzes the variables in the defense plan. SAGE is purpose-built for CISOs. It considers the needs of the organization: business impact analysis, risk tolerance, cyber posture, attack surface, etc., then considers attack vectors and analyzes everything with HolistiCyber’s unique methods in seeing the attack surface the way an attacker would. SAGE includes a context map of everything that matters – risks, vulnerabilities, assets, cyber threats, and how they impact the business. The platform provides simple presentation options for management, translating cyber risks into business risks, and includes “what-if” analysis to optimize budget usage for cyber security. -
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HCL BigFix
HCL Software
HCL BigFix is an enterprise-grade Unified Endpoint Management (UEM) and automation platform. Built to deliver Secure Resilient Operations in the AI-driven threat era, HCL BigFix enables IT and security teams to manage, secure, and remediate endpoints and infrastructure across on-premises, hybrid, and multi-cloud environments at enterprise scale. As frontier AI models such as Mythos accelerate vulnerability discovery and compress exploitation timelines, BigFix helps organizations reduce exposure through near real-time remediation, continuous compliance, and intelligent automation. Enterprises choose HCL BigFix for: - A single-agent, unified platform for endpoint and infrastructure management - Centralized visibility and control across 155M+ endpoints and 90+ operating system variants - Automated patching, continuous compliance, and real-time vulnerability remediation with >98% first-pass patch success. -
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Emerge Cyber Security
Emerge
Emerge delivers a fully automated cybersecurity solution that protect your business from cyber attacks. Automatically discover cyber security weaknesses across your networks and applications using safe exploitation techniques with zero disruption. Continuously validate your security posture and accurately prioritise remediation efforts, ensuring critical threats are managed. Identify and secure your most vulnerable critical assets, eliminate emergency patching, control access to data and prevent credential abuse. We’re here to help businesses adopt new and highly effective ways of tackling cyber security challenges with our fully automated solutions that fulfil all your cyber needs. Identify where you are most vulnerable, prioritise remediation and assess how your security has improved, or not, over time. Track remediation progress, spot vulnerability trends and instantly see which areas of your environment are most at risk. -
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Gemini 3.1 Flash-Lite
Google
Gemini 3.1 Flash-Lite is Google’s fastest and most cost-efficient model in the Gemini 3 series, designed for high-volume developer workloads. It delivers strong performance at scale while maintaining affordability, with pricing set at $0.25 per million input tokens and $1.50 per million output tokens. The model significantly improves speed, offering a 2.5x faster time to first answer token and a 45% increase in output speed compared to Gemini 2.5 Flash. Despite its lower cost tier, it achieves high benchmark results, including an Elo score of 1432 and strong performance across reasoning and multimodal evaluations. Gemini 3.1 Flash-Lite supports adaptive “thinking levels,” allowing developers to control how much reasoning power is used for different tasks. It is suitable for large-scale applications such as translation, content moderation, user interface generation, and simulation building. -
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Protexxa
Protexxa
Activate your greatest cybersecurity asset. 90% of cyber hacks are caused by human error. Transform your digital protection today. Do you know how vulnerable your company is to cyber attacks? Cyber attacks are rapidly increasing. Since the onset of the COVID-19 pandemic cyber crime has quadrupled. Take control and reduce cyber vulnerabilities with our AI-powered assessment and remediation solution. Strengthen cyber capabilities with strategic consulting, control testing and interactive tabletop exercises. Accelerate cyber confidence across your organization. Executives are targeted 12x more than employees. -
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Ling 3.0 Flash
Ant Group
Ling 3.0 Flash is a next-generation efficient language model designed for long-horizon agent workflows, combining fast response, low activation, and stable tool use. It uses a Mixture-of-Experts architecture with 124 billion total parameters and 5.1 billion activated parameters per token, providing capability while keeping inference efficient. The model supports a native 256K context window that can be extended up to 1 million tokens, with reliable retrieval across information placed at the beginning, middle, or end of long contexts. Compared with the previous Flash model, Ling 3.0 Flash improves stability on extended tasks, tool-calling accuracy, instruction following, compatibility with agent harnesses, and coding performance. Its optimized spatial understanding can construct physical scene grids and reason about relative positions, while hybrid reasoning improves success rates across tasks of varying difficulty. -
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Balbix
Balbix
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. -
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Asterisk
Asterisk
Asterisk is an AI-driven platform that automates the detection, verification, and patching of security vulnerabilities within codebases, effectively emulating the approach of a human security engineer. It excels in identifying complex business logic errors through context-aware scanning and provides comprehensive reports with near-zero false positives. Key features include automated patch generation, continuous real-time monitoring, and extensive support for major programming languages and frameworks. Asterisk's process involves indexing the codebase to create accurate call stack and code graph mappings, enabling precise vulnerability detection. The platform has demonstrated its efficacy by autonomously discovering vulnerabilities in systems. Founded by a team of seasoned security researchers and competitive CTF players, Asterisk is committed to leveraging AI to streamline code security audits and enhance vulnerability discovery. -
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Heeler
Heeler
Heeler is an application security platform that helps development and security teams automate the detection, prioritization, and remediation of open source and application risks by unifying contextual data from code, runtime, deployment, dependencies, and business logic into a single actionable model. It combines static and runtime analysis, software composition analysis, threat modeling, and secrets scanning with a context engine that maps how code runs in production, enabling real-time threat prioritization based on exploitability and business impact rather than raw vulnerability counts. Heeler automatically generates validated remediation guidance and can even produce merge-ready pull requests to upgrade libraries or fix issues, reducing manual research and accelerating fixes. It provides end-to-end visibility across the software development lifecycle, tracking vulnerabilities from identification through resolution and monitoring fixes across deployments.Starting Price: $250 per developer -
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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. -
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InsightCyber
InsightCyber
We find the insights hidden in your data that you didn’t know were there. Our unique AI suite maps your company’s digital behaviors, by continuously learning from our application and network data. We construct models, with hundreds of individual dimensions, in real time using our patent-pending AI. You get an AI that understands how your business works, delivering context and relevance far beyond what current AIs can. We’re currently releasing InsightCyber GenAI to a limited number of organizations and partners. The InsightCyber platform is highly successful at finding and analyzing tiny anomalies that indicate cyber risk in environments of any size. Our AI is tuned to work with data sets from the smallest environments to the largest of enterprises. In real-time, our platform distinguishes threats that originate from remote sources as well as threats arising from malware that has already infiltrated an environment. -
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Autobahn Security
Autobahn Security GmbH
Start your cyber fitness and cyber health journey today. Autobahn Security combines six key cyber risk management requirements into a comprehensive vulnerability management program. Autobahn Security is trusted worldwide by companies of all sizes, industries, and locations. Autobahn Security is a vulnerability remediation solution that was developed by Security Research Labs' internationally recognized ethical hackers and security specialists. Autobahn Security is a more efficient way to assess vulnerabilities than traditional methods. It detects forgotten assets, automates the process, and protects your business from potential threats. Autobahn Security closes these gaps by fully automated asset discovery, vulnerability scanning, and comprehensive benchmarking based upon deep scans of more than four thousand companies.Starting Price: $99 one-time payment -
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ThreatMon
ThreatMon
ThreatMon is an AI-powered cybersecurity platform that combines comprehensive threat intelligence with cutting-edge technology to proactively identify, analyze, and mitigate cyber risks. It provides real-time insights across a wide range of threat landscapes, including attack surface intelligence, fraud detection, and dark web monitoring. The platform offers deep visibility into external IT assets, helping organizations uncover vulnerabilities and defend against emerging threats such as ransomware and APTs. With tailored security strategies and continuous updates, ThreatMon enables businesses to stay ahead of evolving cyber risks, enhancing their overall cybersecurity posture and resilience. -
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Tenable Enclave Security
Tenable
Identify, understand, and close cyber weaknesses across your modern infrastructure. Built for highly secure environments. Tenable Enclave Security, a unified cyber risk solution, delivers innovative cybersecurity capabilities to highly secure environments while addressing strict data residency and security requirements. Discover and assess IT assets and containers. Bring cyber risk to light and expose where you’re vulnerable. Analyze cyber risk across asset types and pathways. Identify the true exposures threatening your organization. Understand vulnerability severity and asset criticality. Prioritize remediation of high-impact weaknesses. Expose and close critical vulnerabilities in highly secure environments. Ensure compliance with the most stringent cloud security and data residency requirements. Tenable Enclave security can operate in classified and air-gapped environments. -
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Codex Security
OpenAI
Codex Security is an AI-powered application security agent developed by OpenAI to help teams detect and fix vulnerabilities in software systems. The tool analyzes code repositories to understand the structure, architecture, and potential risk areas within a project. Using this context, it identifies complex security issues that traditional scanning tools might overlook. Codex Security prioritizes vulnerabilities based on their real-world impact, helping security teams focus on the most critical threats. The system also validates findings through sandboxed testing environments to reduce false positives and improve accuracy. Once vulnerabilities are confirmed, it proposes patches and remediation steps that align with the system’s existing behavior. By combining AI reasoning with automated validation, Codex Security helps development teams ship more secure code faster. -
41
Devstral
Mistral AI
Devstral is an open source, agentic large language model (LLM) developed by Mistral AI in collaboration with All Hands AI, specifically designed for software engineering tasks. It excels at navigating complex codebases, editing multiple files, and resolving real-world issues, outperforming all open source models on the SWE-Bench Verified benchmark with a score of 46.8%. Devstral is fine-tuned from Mistral-Small-3.1 and features a long context window of up to 128,000 tokens. It is optimized for local deployment on high-end hardware, such as a Mac with 32GB RAM or an Nvidia RTX 4090 GPU, and is compatible with inference frameworks like vLLM, Transformers, and Ollama. Released under the Apache 2.0 license, Devstral is available for free and can be accessed via Hugging Face, Ollama, Kaggle, Unsloth, and LM Studio.Starting Price: $0.1 per million input tokens -
42
AgileBlue
AgileBlue
AgileBlue is an AI-native Security Operations platform that continuously detects, investigates, and automatically responds to cyber threats across an organization’s entire digital infrastructure, endpoint, cloud, and network—by combining decision-making AI with 24/7 expert support to reduce noise, accelerate investigations, and stop attacks before they disrupt operations. Its unified platform includes multiple critical modules such as intelligent SIEM for correlated, contextual threat visibility, automated vulnerability scanning to uncover risks before they’re exploited, cloud security for multi-cloud visibility and proactive misconfiguration detection, and real-time threat prioritization powered by Sapphire AI that learns and adapts from every signal to reduce false positives and alert fatigue. AgileBlue’s lightweight Cerulean agent delivers real-time endpoint visibility without performance drag. -
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SWE-1.7
Cognition
SWE-1.7 is Cognition’s frontier software engineering model designed to deliver high intelligence at a lower rollout cost. The model is optimized for long-horizon agentic coding tasks, including debugging, feature implementation, codebase exploration, migrations, terminal workflows, and multilingual software engineering. SWE-1.7 was trained from a Kimi K2.7 base using large-scale reinforcement learning improvements across infrastructure, data quality, training stability, self-compaction, and long-running task execution. It is built to explore codebases thoroughly, probe edge cases, identify hidden requirements, and produce more complete end-to-end solutions. The model is available in Devin across web, desktop, and CLI through Cerebras at very high serving speeds. SWE-1.7 is positioned for developers and engineering teams that need cost-efficient frontier-level coding intelligence for complex real-world software work.Starting Price: $20/month -
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Continuously identify and fix vulnerabilities in AI data, models, and application usage with IBM Guardium AI Security. Get automated and continuous monitoring for AI deployments. Detect security vulnerabilities and misconfiguration. Manage security interactions between users, models, data, and applications. This is part of the IBM Guardium Data Security Center, which empowers security and AI teams to collaborate across the organization through integrated workflows, a common view of data assets, and centralized compliance policies. Guardium AI Security reveals the AI model associated with each deployment. It uncovers each AI deployment’s data, model, and application usage. You’ll also see all the applications accessing the model. You can view the vulnerabilities in your model, its underlying data, and the applications accessing it. Each vulnerability is assigned a criticality score so you can prioritize your next steps. You can quickly export the list of vulnerabilities for reporting.
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Hackuity
Hackuity
Hackuity gives you a complete view of your cyber exposure depth and tools to interpret it, so you can detect, predict and protect yourself from cyber vulnerabilities. Hackuity strengthens your vulnerability management cycle by automating 70% of the tasks associated with the vulnerability world. Thanks to the numerous connectors available and our data processing automation engine, your organization saves a considerable amount of time and avoids errors related to manual processing. A single-pane window with all the information you need on your cyber vulnerability practice. -
46
DeepSeek-V4
DeepSeek
DeepSeek-V4 is a next-generation open-source language model designed for high-performance reasoning, coding, and long-context intelligence. It introduces a powerful architecture with up to one million token context length, enabling seamless handling of large datasets and complex multi-step workflows. The model comes in two variants: DeepSeek-V4-Pro for maximum performance and DeepSeek-V4-Flash for efficiency and speed. DeepSeek-V4-Pro features 1.6 trillion total parameters with 49 billion activated, delivering near state-of-the-art performance comparable to leading closed-source models. It excels in agentic coding, mathematical reasoning, and world knowledge tasks. The model integrates advanced attention mechanisms, including token-wise compression and sparse attention, significantly reducing compute and memory costs. It is also optimized for AI agents, supporting tool use and multi-step workflows.Starting Price: Free -
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SERA
Ai2
Open Coding Agents are a family of fully open, high-performance AI coding models and an associated training method released by the Allen Institute for AI that make building, customizing, and training coding agents on any repository remarkably accessible, affordable, and transparent; the platform includes models, code, training recipes, and tools that can be launched with minimal setup so users can tailor agents to their own codebases and engineering conventions for tasks like code generation, code review, debugging, maintenance, and code explanation. These agents break from the traditional closed, expensive systems by offering an open pipeline from models to training data and enabling fine-tuning on internal code to teach agents about organization-specific APIs, patterns, and workflows; the first release, SERA (Soft-verified Efficient Repository Agents), achieves state-of-the-art performance on coding benchmarks at a fraction of the typical compute cost.Starting Price: Free -
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CyberRiskAI
CyberRiskAI
Conduct cybersecurity risk audit with CyberRiskAI. We offer a fast, accurate, and affordable service for businesses that want to identify and mitigate their cybersecurity risks. Our AI-powered assessments provide businesses with valuable insights into potential vulnerabilities, enabling you to prioritize their security efforts and protect your company’s sensitive data. Comprehensive cybersecurity audit & risk assessment. All-in-one risk assessment tool and template. Uses the NIST cybersecurity audit framework. Quick and easy to set up and run, we offer a hands-off service. Automate your quarterly cybersecurity risk audit. Data gathered is confidential and stored securely. By the end of the audit, you’ll have all the information you need to mitigate your organization’s cybersecurity risks. With the valuable insights gained in potential vulnerabilities, you can prioritize your team’s security efforts to protect and mitigate cybersecurity risks.Starting Price: $49 -
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Mondoo
Mondoo
Mondoo is a unified security and compliance platform designed to drastically reduce business-critical vulnerabilities by combining full-stack asset visibility, risk prioritization, and agentic remediation. It builds a complete inventory of every asset, cloud, on-premises, SaaS, endpoints, network devices, and developer pipelines, and continuously assesses configurations, exposures, and interdependencies. It then applies business context (such as asset criticality, exploitability, and policy deviation) to score and highlight the most urgent risks. Users can choose guided remediation (pre-tested code snippets and playbooks) or autonomous remediation via orchestration pipelines, with tracking, ticket creation, and verification built in. Mondoo supports ingestion of third-party findings, integrates with DevSecOps toolchains (CI/CD, IaC, container registries), and includes 300 + compliance frameworks and benchmark templates. -
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AQtive Guard
SandboxAQ
AQtive Guard is a cybersecurity platform that helps organizations secure and manage cryptographic assets and non-human identities (NHIs) such as AI agents, keys, certificates, algorithms, and machine identities across their entire IT environment. It delivers continuous discovery and real-time visibility into NHIs and cryptography, integrating with existing security tools, cloud providers, and repositories to provide a unified view of security posture. Using advanced AI and large quantitative models, the platform analyzes vulnerabilities, prioritizes risks, and offers actionable insights with automated remediation workflows to fix issues and enforce policies such as credential rotation or certificate renewal. AQtive Guard supports compliance with evolving standards, including new NIST cryptographic protocols, and enables lifecycle management of cryptographic assets to reduce risk from current and future threats.
