- How you can build a culture that actually protects your people, your data, and your operations in an era of AI deception.
- Why most companies are still performing 'Security Theater'—checking boxes and hoping for the best—instead of driving genuine behavior change.
- How Trust and Denial quietly fuel most disasters, why interactive training is the only way to make the lessons stick, and how leaders can scale this entire framework without needing a Hollywood budget.
Robert Siciliano is a security analyst, best-selling author, and the Architect of The Strategic Human Firewall™. As one of the world’s most recognizable educators in personal and corporate protection, he is the ‘Straight Talk’ voice for a digital age.
Your vulnerability program is costing more, but reducing less risk. Teams are chasing CVSS scores, patch SLAs are slipping, and leadership still lacks clear visibility into what’s truly critical.
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Matt Alderman
- Regulatory whiplash: Why cyber resilience is now a governance imperative
Across the US, Europe, and APAC, new mandates are transforming cyber risk into a board-level governance issue. SEC disclosure rules, NIS2, DORA and the EU AI Act, alongside expanding data sovereignty regimes, have dismantled any illusion of a unified global compliance model.
Organizations now face fragmentation across legal, operational, and regulatory requirements. This is regulatory volatility at scale, affecting boards and executives directly.
- Should CEOs Be Held Personally Accountable for Cyber Attacks?
When a major cyber attack strikes, attention often turns immediately to the IT department. Questions are asked about firewalls, patches, endpoint protection, and whether security teams could have done more to prevent the breach. However, as cyber incidents increasingly threaten business continuity, reputation, shareholder value, and even national economic stability, a more important question is emerging: should CEOs and boards be held personally accountable when their organisations fall victim to a cyber attack?
- 3 Forces Are Redefining the Transition from Manager to Leader
The seven shifts that define the move from functional to enterprise leadership remain similar to those introduced in a classic 2012 HBR article. But today’s dynamic business environment means that the shifts now require different capabilities. Generative AI, geopolitical instability, and a compressed leadership pipeline have made organization-spanning jobs more complex, forcing leaders to exercise judgment amid algorithmic uncertainty, regulatory volatility, and less preparation. As a result, they must do more than broaden their business perspective: they must govern human-AI decision systems, practice dynamic rather than static strategy, design hybrid operating models, and cut through noise to set a few priorities. Organizations must also change their development and assessment practices to give high potentials more exposure to AI governance, geopolitical complexity, and enterprise-level trade-offs.
- Placing communication at the center of every leadership transition
After a company names a new leader, employees don’t wait long before asking what comes next.
Naming a successor is only the beginning – the real work is guiding people through the transition with clear, consistent communication that builds genuine trust in the new leadership.
- AI isn’t solving cybersecurity workforce woes
More than half of cybersecurity professionals say they’re thinking about leaving the industry, according to a new report.
- AI isn’t making cybersecurity professionals’ jobs much easier, and businesses aren’t always pairing AI spending with clear AI strategies, a new report finds.
- In addition, nearly seven in 10 cyber workers say their jobs have become more difficult over the past two years, despite the AI automation boon.
- One-quarter of respondents said their companies had increased AI spending without clearly defining how they would integrate those AI tools into their existing processes.
- Help Employees Get Better—Not Just Faster—with AI
As AI makes generating polished work easier, the scarce skill is becoming judgment: knowing what to trust, question, and refine. Yet most organizations train employees to use AI tools, not to think critically with them. A four-step process can help professionals collaborate with AI more effectively while strengthening their own capabilities through reflection, evaluation, and deliberate learning. And it can help managers become more effective coaches.
