Sumeet Sharma的动态

This is good stuff from our friends at the RECC. I like the idea of a policy with an accompanying usage guide. I think one expressing the "should and should not", written to align with the company's existing policies sets guardrails and would be doubly effective when paired with an informational, educational best practices guide to explain what AI tools are, how they work, what's out there to use, and level set expectations. It is still up to the human using the tool to ensure the input is allowable and that output is appropriate and correct. In other words, is the information I am entering allowed to be in that domain and is what I am getting back correct?

As organizations increasingly integrate Artificial Intelligence (AI) into their business operations, it is crucial to implement policies that address both the challenges and opportunities of AI. These policies should ensure that AI outputs are critically evaluated, safeguarding against potential errors and biases. Additionally, they must provide comprehensive governance to protect the organization’s data from cyber threats and establish clear guidelines for the ethical and responsible use of AI across all aspects of the business.??This is why it is important for organizations to adopt an AI policy sooner than later. An AI policy will provide guidelines for the implementation, management, and governance of AI within an organization to ensure ethical, secure, and efficient use of AI technologies. The policy should apply to all departments, employees, contractors, and third-party entities involved in the development, deployment, and utilization of AI systems within your organization. At minimum, the following areas should be covered and established as guidelines for a comprehensive AI policy: 1. Ethical Use of AI 2. Data Privacy and Security 3. Governance and Accountability 4. Training and Awareness 5. Risk Management 6. Compliance and Legal Considerations 7. Monitoring and Evaluation 8. Innovation and Continuous Improvement The IT department, in collaboration with the AI governance committee, should be responsible for implementing the policy. Regular reviews and audits should be conducted to ensure compliance and address any emerging issues. The policy should also be reviewed annually and updated as necessary to ensure it remains relevant and effective. The graphic below shows a basic framework for developing an AI policy for an organization. #RECC #commercialrealestate #cybersecurity #cyberharmony #builtenvironment #artificialintellengence #AI

???????????????????????? ????: ?? ???????? ???????????????? ??hreat ???? ???????? ??????????????! In today's rapidly evolving tech landscape, unauthorized AI usage by employees poses a significant threat to corporate data security. Many employees, driven by convenience or curiosity, are integrating AI tools without proper authorization or oversight. This can lead to unintended data breaches and significant compliance issues. ?????? ???????????? ???? ????????????????: ???????????????? ??????????????????: Ensure your workforce understands the potential risks and implications of using unauthorized AI tools. Regular training sessions can reinforce this awareness. ???????????? ????????????????: Develop and enforce robust policies regarding the use of AI within the company. Clearly outline which tools are approved and the process for evaluating new ones. ???????????????????? ?????? ????????????????: Implement continuous monitoring and auditing mechanisms to detect any unauthorized AI activity. This will help in quickly identifying and mitigating potential threats. ?????????????????????????? ?????????????? ??????????????????????: Foster collaboration between IT, HR, and legal departments to create a cohesive strategy that addresses the risks of unauthorized AI. ???????????? ???? ???????????? ???? ??????????????????: Encourage the use of AI solutions that are vetted and secure. Investing in trusted platforms can significantly reduce the risks associated with unauthorized AI. Protecting company data is paramount. By staying vigilant and proactive, we can harness the benefits of AI without compromising our security. #DataSecurity #AI #CyberSecurity #TechTrends #EmployeeTraining #CorporatePolicy

Governing the use of AI in your organisation is impossible! Is AI Governance too complex or isn't it? Have you ever felt overwhelmed by the complexities of AI governance? You're not alone. Many organisations struggle to navigate the intricate landscape of artificial intelligence, especially when it comes to ensuring ethical and secure use of artificial intelligence. The frustration often comes from the lack of clear guidelines and the rapid pace at which AI technology evolves. This can lead to significant risks, including data breaches, biased algorithms, and even regulatory penalties. It's a daunting task to keep up, let alone stay ahead. But here's the good news: there is a way to simplify AI governance and make it more manageable. Start by focusing on three key areas: Transparency, Accountability, and Security. 1. Transparency means being open about how your AI systems make decisions. This builds trust with stakeholders and helps identify potential biases early on. 2. Accountability ensures that there are clear roles and responsibilities for managing AI risks. This can be achieved by setting up a dedicated AI governance team. 3. Lastly, security is about protecting your AI systems and data from cyber threats. Implement strong security measures to safeguard your data and algorithms. By addressing these areas, you can create a solid foundation for AI governance. This not only reduces risks but also enhances your organisation's resilience and reputation. It will help you turn AI risk into business opportunities and innovation. So, what steps will you take today to improve your AI governance? Share your thoughts and experiences in the comments below. Let's learn from each other and build a safer, more ethical AI landscape together. #AIGovernance #Cybersecurity #RiskManagement

Generative AI is transforming the way we approach problem-solving in numerous sectors. Yet, as we step into this new frontier, there are clear cyber and privacy risks that need to be addressed.? For instance, how do we ensure the integrity of data used in generative AI models? How do we manage the privacy concerns associated with the data being used? These are just some of the questions that need answering. My recommendation is a step-by-step approach. Start by developing a clear understanding of the AI technology, its applications, and potential risks. Then, establish a robust risk management and governance framework which includes data privacy and cybersecurity controls.? Remember to continually assess the effectiveness of these controls and evolve them as new threats emerge. It's not a one-time job but a continuous process.? The bottom line is that managing the risks of generative AI is critical to realizing its full potential. Those who can effectively manage these risks will be at a significant advantage. How is your organization managing the risks associated with generative AI?? ? --- DM me “SECURE AI” to learn more about secure and compliant AI usage. #GenerativeAI #CyberRisk #DataPrivacy #AI #AISecurity #Compliance ------------------------------------------------------- If you like my content... ?? Follow me and hit my bell for 3x post per week on secure AI usage.

Relying on AI to secure your business? Or unknowingly inviting hackers in? As AI advances, more companies are leaning to believe that AI is the silver bullet to automate their cybersecurity processes. But here's a critical question: Is AI enough on its own? Let's analyze! AI Can’t Think Like a Hacker. Despite its ability to identify patterns and anomalies, AI lacks the creativity that human attackers bring to the table. Hackers don’t play by the rules; they find ways to exploit even the most advanced algorithms. The real threats often emerge from scenarios that AI models weren't trained to recognize. Automation Has Blind Spots. AI thrives on data, but it can only react to the data it's given. What happens when an attack is designed to operate below AI’s radar, evading detection by mimicking normal behavior? AI may miss these subtle cues, while human expertise can often catch what machines can’t. Tech Overconfidence = Vulnerability. This is my major concern almost always. Many companies fall into the trap of believing that AI can do all the heavy lifting in security, leading to dangerous complacency. They invest heavily in AI but fail to build a robust security culture around it. This overconfidence can leave massive gaps in preparedness, especially when new types of threats emerge that AI hasn’t encountered before. Why Human Expertise Still Matters: Humans can assess context, analyze intent, and adjust strategies in real-time. Cybersecurity isn’t just about identifying threats; it’s about predicting, adapting, and out-thinking them. Continuous training, manual audits, and a culture of vigilance are what make AI truly powerful. AI should be a tool in the cybersecurity arsenal, not the only line of defense. The most secure companies use AI as an enhancement to their already solid processes—driven by human intelligence, not in place of it. How are you balancing AI and human expertise in your cybersecurity strategy? Are you over-relying on tech, or do you have the right safeguards in place? Drop your thoughts and experiences in the comments below and let’s discuss on the best ways to strike that balance. #cybersecurity #AI #techstrategy #riskmanagement #changemanagement #cyberresilience

Day 12/31: Do you think the rise of artificial intelligence will reduce the need for cybersecurity professionals? The rise of artificial intelligence (AI) is changing the cybersecurity landscape, but it's unlikely to reduce the need for cybersecurity professionals—if anything, it will enhance their roles. While AI can automate many repetitive tasks like threat detection, monitoring, and vulnerability scanning, it won’t replace the need for skilled experts. AI will serve as a tool that empowers professionals to focus on complex decision-making, strategy, and incident response. However, as AI advances, so do cyber threats. Attackers will leverage AI to create more sophisticated hacking techniques, requiring skilled professionals to stay ahead of these new attack vectors. Cybersecurity professionals will still play a critical role, as human judgment, ethics, and nuanced decision-making are essential in managing and interpreting AI-driven systems. AI might be smart, but it can’t replicate human instincts when it comes to ethical decisions or risk management. Additionally, with more organizations adopting AI, there will be an increased need for experts who can oversee the governance and security of AI systems. Managing AI risks and ensuring the systems are secure, ethical, and unbiased will require cybersecurity professionals with deep expertise in both fields. In fact, the rise of AI will likely increase the demand for cybersecurity professionals who are skilled in AI and machine learning. Rather than reducing the need for talent, AI is shifting the skills required in cybersecurity. AI may change the way we approach cybersecurity, but human expertise will always be the cornerstone of effective defense strategies. The future of cybersecurity will be a partnership between AI and professionals, not a replacement. Shout out to Dr Iretioluwa Akerele for this #31DaysChallenege #CybersecurityAwarenessMonth #SecureYourWorld #Cybersecurity #AI #ArtificialIntelligence #FutureOfWork #Automation

?? "75% of organizations are considering banning #GenerativeAI due to data security fears." Generative AI is a game-changer for innovation, but it comes with serious risks. While AI enables rapid progress, its adoption has sparked concerns about data security, prompting some companies to pull the plug on its usage. An excellent article at Cybersecurity Dive by Rob Juncker gives some guidelines and highlights (link in comments): ?? ???????? ???????????? ?????? ???????????????? Generative AI relies on millions of data inputs, meaning confidential information could potentially be exposed to unauthorized users, whether via public platforms or internal systems. ?? ???? ???????? ????????'?? ?? ?????????????? ???????????????? Blocking AI may seem like the safest route, but strict bans often drive employees to find workarounds, increasing risks instead of reducing them. Plus, opting out of AI could leave businesses lagging behind competitors. ?? ???????????????? ???????????????? ???? ?? ???????? Employees need ongoing, transparent training not just to follow security rules but also to understand why they exist. This improves compliance and reduces risky behavior when using AI tools. ?? ?????????????? ???????????????? ???????????? Source code and intellectual property (IP) are extremely valuable. Limiting who can access sensitive data and how they handle it can reduce the chances of accidental leaks. Finding a balance between security and innovation is the best way forward. By educating teams, securing vital data, and embracing new protection tools, businesses can thrive by safely leveraging the power of AI! #AIInnovation #DataSecurity #Innovation #Cybersecurity

?? Understanding Shadow AI: 8 Critical Security Risks Your Enterprise Needs to Know In today's rapidly evolving AI landscape, Shadow AI has emerged as a significant security concern for enterprises. Here's what business leaders need to know about the key risks: ?? Data Exposure Risk Employees unknowingly sharing sensitive information through unauthorized AI tools, potentially compromising company secrets and customer data. ?? Data Leakage Unsanctioned AI tools may collect and store company data without proper oversight, leading to potential breaches. ?? Compliance Issues Unauthorized AI usage can lead to violations of GDPR and other regulatory requirements, resulting in significant penalties. ??? Security Gaps Shadow AI creates new vulnerabilities in your security infrastructure that cybercriminals can exploit. ?? Prompt Injection Threats LLM-based systems can be manipulated through malicious inputs, potentially exposing sensitive information. ?? Business Disruption Inconsistent outputs from unauthorized AI tools can impact operational efficiency and decision-making. ?? IP Protection Concerns Your intellectual property could be at risk when processed through unsanctioned AI platforms. ?? Visibility Challenges Limited oversight of Shadow AI usage makes it difficult for IT teams to implement effective security measures. ?? Take Action: Protect your enterprise from Shadow AI risks with proper governance and security measures. ?? Looking for solutions? prcept AI (prcept.com) specializes in helping enterprises combat Shadow AI challenges. ?? For more information: Contact: [email protected] Phone: +91 9860934576 #AI #Cybersecurity #EnterpriseAI #ShadowAI #DataSecurity #RiskManagement #Innovation #Technology

???AI and Digital Security – have you thought about this?? ? As AI technology rapidly evolves, it's crucial for #SMEs and #nonprofits to stay ahead of potential security threats.?? ? Here are 10 essential issues every manager should be aware of:? ? ???Data Privacy and Confidentiality: Protect your customers and stakeholders by ensuring AI systems handle sensitive information securely with encryption and access controls.? ? ???AI Model Security: Safeguard your AI models from adversarial attacks that can manipulate or extract sensitive data. Regular testing and validation are key.? ? ???Bias and Fairness in AI: Ensure your AI is fair and unbiased. Regular audits and diverse training data help prevent discriminatory outcomes.? ? ???AI Governance and Compliance: Implement clear policies for responsible AI use, ensuring compliance with laws, regulations, and ethical standards.? ? ???Supply Chain Security: Secure your AI supply chain, including software, data, and vendors. Regular assessments are essential to mitigate risks.? ? ???Human Oversight and Control: Maintain human oversight to ensure AI decisions are accountable and correctable. Don’t rely solely on automation.? ? ???AI System Transparency: Make AI systems transparent and explainable. Understanding AI decision-making helps identify and mitigate risks.? ? ???Robust Authentication and Access Control: Protect your AI systems with strong authentication and role-based access controls to prevent unauthorized access.? ? ???Continuous Monitoring and Incident Response: Monitor AI systems continuously for abnormal behaviour and have an incident response plan ready to address breaches.? ? ???Ethical Considerations and Risk Management: Regularly assess the ethical implications and long-term risks of AI, ensuring strategies are in place to mitigate them.? ? As AI becomes more integrated into daily operations, staying vigilant on these fronts will help safeguard your?organisation?from potential threats.?? ? Don’t let your guard down—digital security in the age of AI is more important than ever!? ? #AI #DigitalSecurity?#RiskManagement #Governance #Cybersecurity #AIethics?