Cybersecurity vendors

Konvu provides robust AI prioritization and autofixing, currently for SCA vulnerabilities but expanding to others as well. These are some of the strongest prioritization and fixing capabilities I've seen within the SCA category, and it's a great help for teams struggling to burn down their backlog.

LogicGate is heavily focused on risk assessment and risk management alone, and greatly lacks the automation capabilities of other platforms

Maze uses agentic AI to find the exploitability of vulnerabilities in cloud environments, increasing the risk score for true positives, while giving demonstrable proof when false positives cannot be exploited.

Miggo is maximizing the value of your existing application performance monitoring, or offers an instrumentation of their own, that excels at building maps of distributed systems and real time attack detection and prevention. Miggo has no-code as well integration based implementations.

Moderne helps teams complete major version upgrades at scale. They leverage Apache Openwrite to create playbooks across your code for remediating major issues like migrating Java or Spring versions.

Paraxial provides a unique combination of security tooling specializing in the Elixir language and Phoenix framework. They're a great choice for companies that use Elixir, and have unique runtime elements that them stand out from open source options.

Phoenix security is more on the vulnerability management side of ASPM, but they offer their own SCA and DAST options alongside existing scanners. Due to the emphasis on management & orchestration, they offer a wide variety of contextualizations and in depth vulnerability data. An especially great fit for enterprises.

Acquired by Snyk. Probely has created an excellent version of traditional web based DAST that can handle APIs alongside webcrawling. While they currently don't support GraphQL or have a CLI, they have created unique ways to achieve similar outcomes. The team clearly has a passion for the details of getting the vulnerabilities right.

Query is not strictly speaking a SIEM, but an excellent way to gather all of your relevant data in a single search. They've created truly on demand, cross integration searches - a great way to save money and time for organizations deep the struggle of log management.

AI-native modern SIEM and security data platform for ingesting, detecting on, and investigating security logs at scale.

Acquired by Drata. Safebase is a simple way to host a public security page with your compliance information and NDA document request workflows.

SentinelOne was one of the first major security providers to normalize their data into a data lake architecture, and the benefits are more clear than ever: giving customers a single place to manage all of their security programs, from EDR to CNAPP to AI Security. Consolidating this data enables teams to run cross-domain investigations without stitching integrations between separate products, and gives Purple AI (their agentic analyst) a unified data plane to reason across instead of guessing at reonenormanships between siloed tools.

Snyk was the first to really do DevSecOps - fast, actionable, developer focused CI/CD security scanning. They also were early to consolidate scanners into a single place - IaC, Code, SCA, and Container. There are many platforms with small improvements over them - better reachability, workflows, etc. - but they remain a strong player in the space for having scaled so meaningfully across enterprises.

Soos offers holistic ASPM scanners and ingestion, with a special focus on in depth SCA scanning and SBOM generation

Splunk is still one of the best siems for security teams willing to invest the time to learning their query language. They have robust features and integration options, but have a steep learning curve and can be expensive. If you're an organization looking to make a substantial investment in dedicated security teams, Splunk is a great option.