Predictive Security for the AI-First Era
Context-aware security for AI-generated code, supply chain, cloud infrastructure, and compliance reporting. Detect and fix vulnerabilities in real-time—securing your entire development lifecycle from prompt to production.
Secure AI-Generated Code
As development teams adopt AI coding assistants like GitHub Copilot, Cursor, and Claude, research shows over 40% of AI-generated code contains security vulnerabilities. These tools accelerate velocity but often introduce injection flaws, missing validation, and insecure authentication patterns. Precogs AI provides real-time security analysis specifically designed for AI-generated code, using advanced context-aware analysis to understand semantic meaning and detect vulnerabilities at the moment of creation—before the first commit.
45%
AI code with OWASP vulnerabilities
<2%
False positive rate
4x
Faster development
- Real-time vulnerability detection with <2% false positives using Vuln-LLM technology
- Context-aware analysis that understands business logic, data flows, and repository history.
- Automated fix suggestions with one-click remediation and secure code rewrites
- IDE integration for instant security feedback during development with inline hints
- Detection of hallucinated packages, prompt injection, insecure API usage, and logic flaws
- Support for 20+ programming languages including Python, JavaScript, Java, Go, and Rust
Supply Chain Security
Modern applications depend on hundreds of third-party packages, creating an expanding attack surface. Supply chain attacks have increased 742% year-over-year, with incidents like SolarWinds, Log4Shell, and the XZ Utils backdoor demonstrating critical vulnerabilities. AI assistants can introduce hallucinated packages or outdated dependencies. Precogs AI provides total visibility into your software supply chain with dynamic SBOM generation, deep binary analysis, reachability scanning, and continuous CVE monitoring across 50M+ open-source packages.
742%
YoY supply chain attacks
50M+
Packages monitored
98%
Noise reduction
- Automated SBOM generation fully compliant with SPDX and CycloneDX standards
- Real-time monitoring of 50M+ open-source packages across npm, PyPI, Maven, and all ecosystems
- Reachability analysis to prioritize only exploitable vulnerabilities in your code paths
- Detection of malicious packages, typosquatting, dependency confusion, and supply chain attacks
- Binary and firmware analysis for compiled dependencies including ECU and embedded systems
- Continuous CVE monitoring with instant alerts and automated dependency update recommendations
Cloud & Infrastructure Security
Infrastructure-as-Code (IaC) misconfigurations are the leading cause of cloud breaches, with 95% of cloud security incidents caused by human error. As organizations embrace multi-cloud strategies, Kubernetes, and containerization, the attack surface expands dramatically. AI-generated infrastructure code often includes insecure defaults or overly permissive IAM policies. Precogs AI scans Terraform, CloudFormation, Kubernetes, Docker, and cloud configurations across AWS, Azure, and GCP—detecting misconfigurations, secrets exposure, and drift before deployment.
95%
Cloud breaches from misconfig
3-Cloud
AWS, Azure, GCP support
Prep
Catch issues early
- Comprehensive IaC scanning for Terraform, CloudFormation, Pulumi, and Helm charts
- Container and image security scanning with runtime protection and vulnerability detection
- Multi-cloud security posture management (CSPM) for AWS, Azure, GCP, and hybrid environments
- Kubernetes security hardening, RBAC validation, and pod security policy enforcement
- Secrets detection and management across configuration files, environment variables, and code
- Infrastructure drift detection with automated remediation and secure configuration templates
Compliance & Reporting Agent
Organizations face an increasingly complex compliance landscape—from OWASP Top 10 and CWE Top 25 to regulatory frameworks including SOC 2, ISO 27001, PCI DSS, HIPAA, and emerging regulations like the EU Cyber Resilience Act and DORA. Manual compliance management is time-consuming and error-prone. Precogs AI's intelligent Compliance Agent automates the entire compliance lifecycle by automatically mapping discovered vulnerabilities to 40+ frameworks, generating audit-ready evidence, and maintaining continuous compliance monitoring with real-time risk scoring.
40+
Compliance frameworks
96%
SOC2/ISO27001 overlap
Minutes
Not weeks for reports
- Automated mapping to 40+ compliance frameworks including OWASP, CWE, SOC2, ISO27001, PCI DSS, HIPAA
- AI-powered risk scoring and prioritization based on exploitability, business impact, and compliance requirements
- One-click audit reports with detailed evidence, remediation timelines, and control attestation
- Continuous compliance monitoring with real-time dashboard insights and drift detection
- Native integrations with GRC platforms (Vanta, Drata, Secureframe) and ticketing systems (Jira, ServiceNow)
- Automotive and embedded security compliance for UNECE WP.29, ISO/SAE 21434, and IEC 62443
