Defense contractors now affirm under federal law that controls meet standards. The False Claims Act makes that binding. If controls don't match reality, the gap becomes federal liability. Who ensures what your board affirms is verifiably true at execution? #BoardGovernance #FalseClaimsAct #TheGap
Posts by Andre Smith
They told you your environment was protected. Detection has a window—that's where outcomes are decided.
You were sold visibility. Visibility is necessary. But at your scale, visibility ≠ control.
What governs execution in that window? The weight of knowing differs from trusting.
In spring 2025, a UK retailer suffered ransomware that disabled online ops for weeks. Customer data taken. £300M quarterly revenue lost.
A competitor reported record profits same period. Gap: operational availability—proof of control at execution time.
Regulators now require active governance p...
You signed the attestation. Can you prove execution was governed at that moment? Most executives can't answer that—because no system produces that answer yet. Now one does. #ExecutiveAccountability #Sentry.
Board meeting. Security presented: counts, rates, times. Everyone nodded.
Unasked question: "If something executes tonight unseen — what stops it?"
That deserves an answer, not a presentation.
High-value orgs govern execution.
#ExecutionControl #CyberGovernance
Change Healthcare trusted by hospitals, pharmacies, patients. One execution they didn't control. Consequences spread across an entire ecosystem.
What do you show regulators? Proof of control at the moment execution happens — not after detection, not after containment. At the moment.
When patients trust you with their data, do you have defensible proof of control at the moment of execution?
If a regulator asked what you actually control in the environment where that data lives — what's your answer?
That proof can exist before it's needed.
Let's talk. 🔒
In February 2024, a ransomware group called ALPHV executed an attack on Change Healthcare.
Not after the alert fires. Not after containment begins. At the moment something unknown entered the environment and ran — what existed to control that outcome?
All of them had detection tools running at the time.
Payroll systems locked for weeks. Patients unable to fill prescriptions. Production lines shut down.
If an unknown process executed in your environment today — what would you point to as proof of control?
Nice. Yes, AI can be a bit funny like that.
The cover invokes so many questions. It definitely beckons the inquisitive reader.
Speed is great—until it skips security. Fast deployments often skip critical security steps. Is your rush to innovate opening the door for attackers? Are you trading safety for speed?
High cost ≠ high tech. The most expensive tools often rely on old tech with new marketing. Expensive ≠ innovative. Are you paying for innovation or legacy systems in disguise? Know your tools, not just your brands.
Detection tools miss the unknown. How are you defending the future? Detection tools only recognize known patterns—zero-days go undetected. Are you stuck reacting with yesterday's threat intelligence? Get Proactive.
Costly detection based tools still cry wolf. Are your teams chasing noise? False positives still plague even the priciest tools, draining your team’s time and energy. False positives = wasted time. Are you paying more for more alerts? Are your most expensive tools solving or creating problems?
AI + humans = success. Are you underestimating the human element? Automation supports humans, it doesn’t replace them. No one wants to rely on a company that is more robotic than human. Don't trade talent for tools it creates gaps in your operations and defenses.
ML ≠ magic. Machine learning models rely on quality data. Are you feeding your tools the data they need? Are you maintaining your tools or leaving them blind? ML needs data, not assumptions, how well-fed is your model?
Are you trusting AI without understanding its foundation? Big data alone ≠ smart decisions any more than more data (quality excluded) ≠ better results. Are your tools making you safer or are they just busy massaging heaps of less than useful data?
Are you ready for the unknown? Detection based tools are designed to find the known threats, unknown threats are often blind spots. What about threats your tools can’t see? Get Proactive! Detection only works after the fact.
A bigger budget, alone, doesn’t stop breaches—it just makes failure more costly. Are you focusing on the price of your tools or creating an effective strategy? Are you investing for bragging rights or to solve the right problems? Seek results!
Proactive ≠ reactive. Detection tools only react after a threat is present—AI doesn’t make them proactive. Are you confusing speed with prevention? AI speeds reaction, but it can’t prevent presence. Is your AI-driven tool just faster at playing catch-up? AI ≠ proactive.
High cost ≠ high security and expensive tools ≠ foolproof security. Every year we spend more, only to have the rate of successful attacks rise. Results should overshadow price tag, otherwise, your just buying great branding, which also ≠ great security. Seek results!
Because that would be bad…right?
CISOs aren’t there to clean up breaches—they’re there to stop them before they happen. Are you treating security as an afterthought? #CyberSecurity #ProactiveDefense
CISOs drive business strategy, not just IT. Are you underestimating their authority by treating cybersecurity as an IT issue instead of a business priority? #Leadership #CyberSecurity #Strategy #RiskManagement
CISO life = strategy+ risk management, not “hackers vs. CISOs.” A CISO’s day isn’t Hollywood-style hacking. Are you glamorizing the grind while ignoring its complexity? #CyberSecurity #Leadership
This is very interesting. When I first read your post I thought it was a new cybersecurity issue, but it seems more like a securities issue based on concise terminology. We don’t spotlight the AI and ML in our solution because it is reactive and we focus more on promoting our proactive tools.
Key risk trends for Directors and Officers in 2025: ‘AI washing’ is an emerging risk: resilienceforward.com/key-risk-tre...
#RiskManagement