AI security
AI security for SOC teams
Use AI for alert triage, SIEM query drafting, incident timelines, detection tuning, and evidence-bound SOC handoffs.
AI Security Hub
AI security for teams defending real systems.
Start here for practical AI security guidance across CISOs, SOC, AppSec, cloud, developer security, and incident response. This hub connects AI agents, LLMs, model gateways, MCP, coding assistants, security tools, and post-quantum readiness into one operating map.
Core pillars
Role-based AI security paths to build first.
AI security
AI security for AppSec teams
Govern coding assistants, AI code review, dependency triage, GitHub security, CI/CD guardrails, and supply-chain risk.
AI security
AI security for cloud teams
Secure AI workloads, service accounts, model gateways, cloud exposure, SaaS integrations, and containment paths.
AI security
AI governance and CISO readiness
Inventory AI usage, approve model paths, define data boundaries, require human approval, and brief the board with evidence.
AI security
AI agents and Zero Trust
Give every agent identity, least privilege, scoped tools, short-lived credentials, sandboxing, and provenance logs.
AI security
Model gateways and centralized control
Route GenAI and agentic coding through vetted models, policy controls, cost management, audit trails, and security review.
AI security
MCP and tool security
Review MCP servers, OAuth scopes, tokens, local tools, SSRF exposure, browser access, and agent write actions.
AI security
Secure AI coding assistants
Compare Codex, Claude Code, GitHub Copilot, Cursor, and Antigravity CLI for secure code review and remediation.
AI security
Post-quantum and crypto agility
Prepare for quantum-era risk with cryptographic inventory, long-lived data mapping, vendor readiness, and migration plans.
AI security
Corporate network defense blueprint
Use castle and ship models to explain Zero Trust, segmentation, SOC monitoring, recovery, and AI security operations.
High-signal articles
Read these next.
Autonomous Agentic Security Platforms: Why Unplugging the Cable Is Not Enough
Security teams need autonomous, self-service agent platforms with live insight across SIEM, identity, endpoint, cloud, code, email, and network controls because AI-speed attacks will not wait for ticket queues or manual cable-pulling.
Zero Trust in the Age of AI Agents: Identity, Provenance, and Runtime Controls
Zero Trust in the age of AI agents means every human, model, agent, device, API, repository, and workflow must prove identity, need, context, and authority before action. Network location is no longer the trust boundary.
New AI Models Can Silently Hack Companies: What Defenders Should Change Now
Frontier AI models are moving from code suggestions to sustained cyber operations. Security teams should assume quiet, multi-step AI-driven intrusion attempts are becoming realistic and update controls before attackers operationalize them.
OpenAI and Trivy: How Security Teams Can Turn Vulnerability Scans into Actionable AI Triage
Trivy is excellent at finding known vulnerabilities, misconfigurations, secrets, and SBOM risk. OpenAI-style agentic security workflows can help teams turn that scanner output into prioritized, reviewable remediation without treating AI as the source of truth.
GitHub Security Best Practices: Branch Protection, Secret Scanning, Actions Hardening, and CodeQL Checklist
A practical GitHub security checklist for teams: branch protection, rulesets, secret scanning, push protection, Dependabot, CodeQL, GitHub Actions hardening, least-privilege access, OIDC, and SECURITY.md.
Quantum and Photonics After Math: What Security Teams Should Prepare For
Quantum computing changes the cryptographic risk model, while photonics changes how data moves through chips, data centers, clocks, sensors, and future AI systems. Security teams should prepare for both without treating either as magic.
Implementation guides
Turn the hub into daily security workflows.
AI Coding Agent Security Skills for Antigravity CLI, GitHub Copilot, Claude Code, and OpenAI Codex
Reusable security-team workflows for Antigravity CLI, GitHub Copilot CLI, Claude Code, and OpenAI Codex, including secure code review, dependency triage, CI/CD audit, sandboxed remediation, and agent governance.
Claude Code vs Codex vs GitHub Copilot vs Antigravity CLI for Security Teams
A security-focused comparison of Claude Code, OpenAI Codex, GitHub Copilot CLI, Antigravity CLI, and Cursor for secure code review, vulnerability remediation, AppSec workflows, and enterprise guardrails.
LiteLLM vs Portkey vs AWS GenAI Gateway: Centralized AI Gateway Comparison for Security Teams
A practical comparison of LiteLLM, Portkey, and AWS multi-provider GenAI gateway patterns for security teams centralizing model access, policy, logging, and token controls.
Splunk AI Security Skills for SOC Teams
Practical AI-assisted Splunk skills for SOC teams: alert triage, SPL query drafting, detection tuning, incident timelines, and analyst handoffs.
Trivy vs Grype vs Snyk vs Wiz: Vulnerability Scanning Comparison for Security Teams
A practical comparison of Trivy, Grype, Snyk, and Wiz for vulnerability scanning, container security, SBOMs, developer workflows, and cloud exposure management.
GitHub AI Security Skills for AppSec Teams
Practical AI-assisted GitHub security skills for code scanning, secret scanning, pull request review, dependency triage, and secure coding workflows.