AI: An Amplifier of Hidden Cyber Weaknesses in M&A
Agentic AI systems with privileged access change the attack surface. Where traditional automation follows rules, agentic models can move laterally, access source systems, and decide actions at machine speed. Poor patching, exposed credentials, and lax secrets management that once limited damage now become pathways for rapid, large-scale compromise. In M&A, these risks arrive with the asset and can turn a revenue stream into a liability overnight.
Beyond Surface-Level Due Diligence
Standard cyber assessments often focus on perimeter findings, policy documentation, and recent pen tests. They miss AI-specific exposures: model access controls, training data provenance, embedded agent permissions, and automation playbooks. Many vulnerabilities only surface after integration, when agents gain new interfaces or broader privileges. Buyers that rely on checklist reviews risk acquiring unseen liabilities that erode valuation and trigger post-close remediation costs.
The Imperative for Smarter Governance
Boards and deal teams must stop asking only whether systems are “safe.” The right question is what happens if a core AI asset or its source code is compromised. Practical governance queries include:
- Which agents have network or execution privileges, and who controls their credentials?
- What systems, customers, or revenue streams depend on AI outputs?
- Is source code or model weight escrowed, and what are recovery procedures?
- How will indemnities, holdbacks, and insurance cover AI-driven incidents?
Cultivating Real Cyber Resilience
True resilience is operational and skeptical. It comes from an inventory of AI assets, least-privilege controls, secrets rotation, and regular agentic red-team exercises that simulate model compromise. Measure resilience by detection time, isolation capability, and recovery time objective. Boards should favor companies with documented incident scars that produced repeatable fixes over those with pristine certifications but untested responses.
For M&A teams, preserve value by expanding cyber diligence to include AI access mapping, contractual protections for model liabilities, and post-close integration plans that lock down agent privileges before systems are merged.
