AI-driven attackers are using frontier models to automate the full attack lifecycle, while growing reliance on open-source software is expanding software supply chain risk across the enterprise. Your security programs need to evolve to keep pace.

Inquire now to learn about AI Cyber Resilience, a 2-week diagnostic engagement that maps your real attack surface, identifies exposures, including those from the open-source software supply chain, activates protections against top risks, and leaves your team with a remediation playbook and continuous validation framework.

Objectives of the assessment include:

• Map your real attack surface: Aggregate telemetry across your EDR, SIEM, cloud security, and threat intelligence platforms to identify misconfigurations, vulnerabilities, and software composition risks. Model how isolated issues chain into exploitable breach scenarios.
• Prioritize what actually matters: Rank risks by exploitability and business impact, eliminating the guesswork of traditional vulnerability lists. Surface the threats that move a board-level conversation.
• Validate your detection coverage: Assess existing detection content against AI-assisted attack techniques. Identify gaps, tune for machine-speed response, and confirm controls are working before an attacker tests them for you.
• Activate immediate protection: Recommend and where possible deploy compensating controls and virtual patching through your existing security platform capabilities — reducing exposure while longer-term remediation is planned.
• Define the path forward: Deliver a prioritized remediation playbook and continuous validation framework that transforms this assessment into an ongoing resilience program, not a point-in-time report.