Best Agentic Cybersecurity Platforms for GitHub
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Compare the Top Agentic Cybersecurity Platforms that integrate with GitHub as of July 2026
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This a list of Agentic Cybersecurity platforms that integrate with GitHub. Use the filters on the left to add additional filters for products that have integrations with GitHub. View the products that work with GitHub in the table below.
What are Agentic Cybersecurity Platforms for GitHub?
Agentic cybersecurity platforms leverage autonomous and semi-autonomous AI agents to continuously monitor, analyze, and defend digital environments against cyber threats. They can independently investigate alerts, correlate signals across systems, and take action to contain or remediate attacks in real time. These platforms adapt to evolving threats by learning from historical incidents, behavioral patterns, and environmental context. By automating complex security workflows, they significantly reduce response times and ease the burden on security teams. Overall, agentic cybersecurity platforms provide proactive, intelligent defense that improves resilience across enterprise infrastructure. Compare and read user reviews of the best Agentic Cybersecurity platforms for GitHub currently available using the table below. This list is updated regularly.
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1
Daylight
Daylight Security
Daylight merges lightning-fast agentic AI with elite human expertise to deliver a next-gen managed detection and response service that goes beyond alerts, aiming to “take command” of your cyber-frontier. It promises full coverage of your environment with no blind spots, context-aware protection that continuously learns from your systems and past cases (including Slack chats), near-zero false positives, the industry’s lowest mean time to detection and mean time to response, and deep integration with your IT and security stack so it supports unlimited platforms, unlimited integrations, and delivers actionable, noise-free insights via AI dashboards. With Daylight, you get true end-to-end threat detection and response (no escalation games), 24/7 expert support, custom response workflows, environment-wide visibility, and measurable improvements in analyst utilization and response speed, all built to shift your security operations from reactive to commanding. -
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Backslash Security
Backslash
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. -
3
zauth
zauth
zauth is security for the agentic internet, built to find vulnerabilities before they are exploited, score code before it is trusted, and verify endpoints before agents pay. The agentic internet is being built faster than anyone can secure it, and zauth focuses on the gap created by broken endpoints, vulnerable apps, and unaudited repositories. Its trust ecosystem includes Vector, an autonomous vulnerability pentester where every pentest runs in a fully isolated container with its own Chromium browser, bash access, disposable email, and crypto wallet. Point Vector at any URL, and it handles recon, exploit testing, and reporting on its own. RepoScan scans any GitHub repository to detect copied code, verify code provenance, and assess project authenticity, giving users a trust score before they deploy, invest, or integrate. Provider Hub and Database help teams deploy and monitor x402 endpoints with real-time uptime tracking, latency metrics, and instant failure alerts.Starting Price: Free -
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Exaforce
Exaforce
Exaforce is a SOC platform that enhances the productivity and efficacy of security operations center teams by 10x through the integration of AI bots and advanced data exploration. It utilizes a semantic data model to ingest and deeply analyze large-scale logs, configurations, code, and threat feeds, facilitating better reasoning by humans and large language models. By combining this semantic model with behavioral and knowledge models, Exaforce autonomously triages alerts with the skill and consistency of an expert analyst, reducing the time from alert to decision to minutes. Exabots automate tedious workflows such as confirming actions with users and managers, investigating historical tickets, and correlating against change management systems like Jira and ServiceNow, thereby freeing up analyst time and reducing fatigue. Exaforce offers advanced detection and response solutions for critical cloud services. -
5
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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AWS Security Agent
Amazon
AWS Security Agent is a new frontier AI-powered agent that proactively secures your applications throughout the development lifecycle, from design and architecture planning, through code changes, to deployment and penetration testing. It lets security teams define organizational security requirements (for example, approved auth libraries, encryption standards, logging practices, data-access policies) once in the AWS Console; then the agent automatically validates design documents, architectural plans, and code against those standards. Before a single line of code is written, AWS Security Agent can perform a design review, analyzing architectural documents uploaded into the web application (or ingested from storage), and flag potential security risks or non-compliance with custom or Amazon-managed standards, providing remediation guidance. -
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Manifold Security
Manifold Security
Manifold Security is an AI Detection and Response platform built to secure autonomous AI agents operating on enterprise endpoints, addressing a critical gap in traditional cybersecurity approaches that focus primarily on user activity or model inputs and outputs. It provides runtime visibility into what AI agents actually do, capturing their behavior as they interact with systems, execute commands, access files, and call APIs across development environments and production infrastructure. Observing agent activity directly on endpoints without requiring additional infrastructure such as proxies or gateways, it enables organizations to monitor real actions rather than just prompts or responses. It maps relationships between agents, tools, and connected services, offering a clear view of which agents are active, what permissions they use, and how they interact with internal and external resources. -
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Surf AI
Surf AI
Surf AI is a security operations platform designed to eliminate exposure and automate remediation by connecting context across all enterprise systems and turning fragmented risks into actionable workflows. It addresses the core problem behind growing security backlogs by identifying that the issue is not a lack of people, but a lack of unified context, and solves it by integrating systems, mapping dependencies, and assigning ownership to every issue. It operates through a continuous cycle of sensing data across systems, understanding ownership and relationships, reasoning about impact before action, and fixing issues through safe, automated remediation. By connecting tools and data sources, Surf enables teams to trace every exposure to a real owner and drive resolution end to end without relying on tickets or manual handoffs between teams. It automates workflows across systems, significantly reducing time spent on follow-ups and operational overhead. -
9
Snapper
Snapper
Snapper is an AI agent security platform designed to provide end-to-end governance and protection for organizations deploying AI agents across applications, networks, and systems. It delivers runtime enforcement by evaluating every agent action, including tool calls, API requests, and data access, before execution through a policy-driven rule engine with multiple enforcement layers. It offers unified visibility into AI usage by monitoring network traffic, browser activity, DNS, and processes to detect unauthorized tools and “shadow AI,” while also intercepting outbound LLM requests through SDK wrappers and a network proxy to evaluate, redact, and log sensitive data in real time. Snapper includes advanced threat detection capabilities that identify prompt injection, exploit chains, anomalous behavior, and multi-step attack patterns using behavioral baselines, kill chain tracking, and composite trust scoring. -
10
Straiker
Straiker
Straiker is an AI-native security platform built specifically to protect enterprise AI applications and autonomous agents, focusing on the emerging risks of “agentic AI” systems that interact with tools, APIs, and sensitive data. It provides full visibility and control across the entire AI stack by analyzing behavioral signals from models, prompts, tools, identities, and infrastructure, enabling real-time detection and prevention of AI-specific threats such as prompt injection, privilege escalation, data exfiltration, and malicious tool usage. It combines continuous discovery, adversarial testing, and runtime protection through core components like Discover AI, Ascend AI, and Defend AI, which together identify all active agents, simulate attacks to uncover vulnerabilities, and enforce real-time safeguards during execution. Its multi-layered architecture captures deep contextual signals across user interactions, networks, and agent workflows.
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