The AI-era security market, mapped

Agentic SOC platforms, autonomous triage and investigation, MDR, and SOAR-replacement tooling.

Securing and governing AI agents: identity, permissions, MCP and runtime control, shadow-AI discovery.

SAST, SCA, DAST, ASPM, AI code review, and API and application testing.

IAM, IGA, PAM, privilege management, and access for humans, machines, and agents.

ZTNA, SASE and SSE, NDR, firewalls, segmentation, and network defense.

Hyperscalers, broad security suites, MSSPs, and systems integrators.

Threat intelligence feeds and platforms, DFIR tooling, and deception technology.

Phishing defense, human risk management, deepfake detection, and email and social protection.

Penetration testing, breach and attack simulation, bug bounty, and offensive security platforms.

LLM and model red teaming, model risk assessment, and AI application security testing.

Attack surface management, vulnerability prioritization, exposure and attack-path analysis.

EDR and XDR, enterprise browsers, and mobile security.

DSPM, DLP, and data discovery and classification.

Software supply chain security, SBOM, secrets detection, and package and firmware integrity.

CNAPP, CWPP, CSPM, and cloud runtime protection.

Governance, risk and compliance automation, and third-party risk management.

SIEM, security data lakes, and telemetry pipeline management.

Backup and recovery, ransomware resilience, and incident recovery.

PKI, certificate management, cryptography, and post-quantum readiness.

ICS, OT, and cyber-physical systems security.

Personal data removal, digital privacy, and executive protection.