Overview
- Uncover overlooked vulnerabilities before attackers exploit them using an autonomous security command center that detects, validates, and remediates security issues across code, supply chain, secrets, and agentic pentesting.
- Eliminate wasted remediation effort by confirming which vulnerabilities are actually exploitable through agentic pentesting that tests running applications with real attack paths.
- Secure your software supply chain against malicious packages with a dependency firewall that detects harmful behavior before it spreads through your environment.
- Stop credential leaks before they exit your repository using secret security that detects and validates credentials across codebases, CI/CD pipelines, and runtime environments.
- Catch threats that standard scanners miss with a code scanner that reasons across business logic, data flows, and cross-service interactions.
- Trace risk through your complete dependency tree with supply chain security that highlights only vulnerabilities with a real execution path.
- Reduce security team workload by deploying trained security-specific agents that handle detection, validation, and remediation automatically.
- Integrate security into existing workflows with shared context and intelligent workflows that connect through pull requests, coding agents, and common security processes.
- Verify fixes persist across every code merge using agentic pentesting that replays attacks after each merge to confirm proper resolution.
- Measure security agent effectiveness with comprehensive metrics including detection recall, cost per task, and precision of agent findings.
Pros & Cons
Pros
- Autonomous security command center
- Shared context
- Intelligent workflows
- Autonomous remediation
- Uncover threats proactively
- Comprehensive security landscape coverage
- Code security
- Supply chain security
- Secrets security
- Agentic pentesting
- Dependency firewall
- Detects overlooked vulnerabilities
- Detailed cost and efficiency metrics
- Showcase of range of models
- Special dfs-large1 model
- Multiple detection and validation capabilities
- Research showcase
- Unifies code, dependencies, secrets protection
- Merge-ready pull requests generation
- Re-tests vulnerabilities post resolution
- Trace risk through full dependency tree
- Detects malicious behavior before spreading
- Validates credentials across environments
- Agentic Pentester verifies exploitability
- Security Reviewer for every code change
- Malware prevention at source
- Protection for entire software stack
- Reasons across business, data, and exploit chains
Cons
- Lack of custom GPT
- No clear tool interoperability
- Absence of user-defined workflows
- Complex cost details
- May overlook common vulnerabilities
Reviews
Rate this tool
Loading reviews...
❓ Frequently Asked Questions
Depthfirst is an autonomous security command center, serving as a platform for human and AI agents. It leverages shared context, autonomous remediation, and intelligent workflows to help detect and remediate security concerns. Its platform is purposed to locate vulnerabilities overlooked by traditional scanners. Depthfirst develops and trains security-specific agents that form the backbone functionality of all their products.
Depthfirst functions as an autonomous security command center by offering shared context, intelligent workflows, and autonomous remediation. It collaborates with both humans and AI agents to detect, validate, and remediate security issues effectively. It uncovers vulnerabilities overlooked by standard scanners, covering different aspects of the security landscape including code, supply chain, secret, and agentic pentesting.
Key features of Depthfirst include its ability to provide shared context and intelligent workflows in the security landscape. It offers autonomous remediation capabilities and an innovative security platform designed to discover overlooked vulnerabilities. It incorporates a dependency firewall and conducts agentic pentesting. Additionally, it develops and trains security-specific agents and introduces models like dfs-large1, providing research on a variety of these models with cost details and holistic metrics.
The dfs-large1 model introduced by Depthfirst isn’t a custom-built GPT despite the naming resemblance. It stands out due to the extensive research showcased on the model, including its cost information and comprehensive metrics. The model powers Depthfirst products, representing an aspect of Depthfirst’s contribution to AI research in relation to security-specific agents.
Depthfirst aids in the detection, validation, and remediation of security issues via shared context, intelligent workflows, and autonomous remediation - crucial components of its function as an autonomous security command center. Depthfirst also develops and trains efficient, security-specific agents to power every Depthfirst product, which empower it to detect security vulnerabilities, validate them and carry out necessary remediation.
Depthfirst is beneficial for a security team as it helps in the proactive discovery of threats before attackers do. Depthfirst’s platform provides a shared context and a series of intelligent workflows to aid in the quick detection, validation, and remediation of security issues. By employing security-specific agents trained by Depthfirst, security teams can efficiently handle concerns, thereby reducing their load.
Depthfirst covers diverse aspects of the security landscape including code, supply chain, secrets, and penetration testing. Its Code Scanner leads to the exposure of issues that other tools miss, by tracing business logic, data flows, and cross-service interactions across the target codebase. Supply Chain Security identifies vulnerabilities that possess a real execution path. Secret security spots harmful leaks before they leave the repository.
The dependency firewall in Depthfirst is a feature that enables detection of malicious behaviour before it can proliferate through an organization's environment. It adds a layer of protection against harmful packages, thereby guarding the integrity of the organization’s data and systems.
Depthfirst aids in the process of penetration testing through its 'Agentic Pentesting' feature. This functionality confirms which vulnerabilities are exploitable by testing the running application with real attack paths, and validates findings against the application to ensure only exploitable vulnerabilities are fixed.
Depthfirst provides comprehensive metrics representing the performance of its security models. For instance, Depthfirst showcases research bearing cost details for their various models including the dfs-large1. Metrics include detection recall, cost per task, and precision of agent findings - key parameters to understand the overall effectiveness and efficiency of their security agents.
Depthfirst employs its Code Scanner and Supply Chain Security to secure code and supply chain respectively. The Code Scanner uncovers issues by reasoning across business logic, data flows, and cross-service interactions. Supply Chain Security traces risk through the complete dependency tree and highlights only those vulnerabilities that have a real execution path to them.
The intelligent workflows in Depthfirst contribute to its shared context feature by orchestrating a sequence of operations for detecting, validating, and remediating security threats. These workflows automate and streamline several aspects of security management, making it quick and effective for security teams to respond to threats and vulnerabilities.
For secret security, Depthfirst provides features to detect and validate credentials across one's codebase, CI/CD pipelines, and runtime environments. It helps in stopping leaks before they exit the repository, thereby minimizing scope for information breaches and enhancing secret security.
Depthfirst equips security teams with the tools and features necessary for effective threat detection. Fundamental facets of threat detection in Depthfirst include a dependency firewall, code scanner, supply chain security, and agentic pentesting. These elements work together to uncover, validate and remediate potential security threats.
Depthfirst can be utilized in diverse cybersecurity applications including penetration testing, code and supply chain security, and secret security. The agentic pentesting feature validates vulnerabilities against running applications, while Supply Chain Security identifies vulnerabilities with a real execution path. Its Code Scanner reasons across different parameters to uncover issues. These widespread applications serve to identify and handle security threats in various scenarios.
Depthfirst integrates with existing security systems through common security workflows, coding agents, pull requests and more. It provides protective measures at the source through its Dependency Firewall and Security Reviewer. Depthfirst’s integration allows enhancement of security practices, ensuring code, dependencies, secrets, and runtime are covered under a single unified system.
Depthfirst secures open navigation products by being a comprehensive security platform that covers a variety of aspects of the security landscape, extending from source code and supply chain to secret data and penetration testing. Depthfirst’s product capabilities cater to the security needs of open navigation products by detecting, validating and remediating vulnerabilities.
Depthfirst is designed to help teams uncover threats before attackers do by detecting vulnerabilities that typical scanners might overlook. It leverages AI-powered algorithms to analyze areas such as code, supply chain, secrets, penetration testing, amongst others. It deploys trained, security-specific agents to speed up the process of identifying, validating, and remediating threats, thus giving security teams an advantage.
'Agentic Pentesting’ in Depthfirst refers to the feature that confirms whether discovered vulnerabilities are exploitable. It validates findings by testing running applications with real attack paths. Post-fixation, the Agentic Pentester replays the same attack after every merge to verify that the vulnerability has been properly resolved.
In the field of AI research, Depthfirst introduces and develops efficient, security-specific agents that power every Depthfirst product. They leverage AI to improve the functionality and efficiency of their platform. They introduce models like dfs-large1 and provide comprehensive research on them, underscoring Depthfirst’s contribution to AI in cybersecurity.
Pricing
Pricing model
No Pricing
