Cybersecurity

Defence is the framing for everything in Cybersecurity. On the code side, static analysis flags injection-prone patterns, unsafe deserialization and weak cryptographic choices; dependency scanning matches a manifest against known vulnerability data; secret detection sweeps repositories and their history for committed credentials; infrastructure-as-code and container image checks catch misconfiguration before deployment. On the operations side, telemetry from endpoints, identity systems and applications is correlated to surface anomalies, and analysts get alert clustering, enriched context, suggested triage steps and drafted remediation. Phishing analysis inspects headers, links and attachments in reported messages. Access reviews and audit evidence collection complete the set.

Security engineers, analysts on a response rota, platform teams and small IT functions without dedicated security staff are the users. Differentiators include language coverage for scanning, false positive rate, reachability analysis that separates exploitable findings from theoretical ones, continuous integration behavior and whether a merge is blocked, log volume pricing, role-based access and audit trails, and on-premises deployment.

Trial against a repository with known issues and count both misses and noise. Alert fatigue is the standard failure: teams disable checks that block too often. Automated fixes still require human verification, and business logic flaws remain largely invisible to scanners. Pricing tends to be per developer, per repository, per asset or by log volume, with free tiers for public projects.