Mohamed Fawzi

Every AI Agent is an Opportunity Waiting to Be Abused Key threat areas in the AI agent lifecycle — each reflecting distinct attack surfaces - entry points, misconfiguration, and emerging risks in operationalizing AI systems. Let’s highlight a few of them: 🔓 Data Exposure & Exfiltration: Agents often ingest sensitive data — from internal documents to system metadata. > Risk: Prompt injection, memory leaks, and overly broad context windows leaking PII. > Insight: Agents that echo context or mishandle embeddings become leaky by design. This is ground zero for LLM data governance failures. 🔓 Unauthorized Activities: When agents execute API calls or invoke tools, they can be turned into programmable attack proxies. > Risk: Prompt alterations can escalate into full-on logic hijacking. > Insight: Weak separation of reasoning vs execution leads to tool abuse, agent jailbreaks, and indirect prompt control. 🔓Supply Chain Risks Your AI pipeline is only as secure as the data and code it consumes. > Risk: Backdoored models, poisoned embeddings, compromised dependencies. > Insight: The AI toolchain — from tokenizer artifacts to vector stores — is now a high-value attack surface. 🔴 This threat taxonomy is a useful baseline model for AI agent security posture management, integrating: > LLM threat modeling > Identity & privilege design > AgentOps monitoring > Toolchain validation > Prompt behavior safety 🔍 It highlights the urgent need for > Agent threat simulation frameworks > Granular access controls > Prompt inspection & tool call governance > Runtime auditing for AI agents Thanks, Pillar, for raising those security considerations #cybersecurity #security #aisecurity

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With all the focus on VulnCheck’s vulnerability reporting service recently, we’ve received a number of requests for additional language support. We’ve updated our vulnerability reporting service to support English, Nederlands (Dutch), Русский (Russian), 简体中文 (Simplified Chinese), 繁體中文 (Traditional Chinese), 한국어 (Korean), and فارسی (Persian/Farsi). We’ll be adding more in the coming weeks, based on requests from the community. We hope this change is a helpful improvements to the community, broadening vulnerability reporting to more researchers in hard to reach places. You can easily report a vulnerability here: https://lnkd.in/gXzfVAGF #cybersecurity #infosecurity #vulnerabilitymanagement #riskmanagement

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📌 Cybersecurity 101: "Understanding AI Ethics and Safety" - Insights from Alan Turing Institute Guide 🔥 Background: "Understanding AI Ethics & Safety" is a guide by Dr. David Leslie from Alan Turing Institute. Focuses on the responsible design and implementation of AI in the public sector. Offers a framework and practical guidelines to ensure ethical, trustworthy AI systems. The guide details collaborative governance and stakeholder engagement to incorporate trust and infuse ethical standards in AI initiatives for the public. 👉 I highly recommend this as essential reading for anyone involved in AI technology, implementation, or governance today! 🔥 Key Takeaways: 1/ The SUM Values — Respect, Connect, Care, Protect: A moral compass for ethical AI development. 2/ The FAST Track Principles — Fairness, Accountability, Sustainability, Safety, Transparency: A practical roadmap for building inclusive and trustworthy AI systems. 3/ Process & Outcome Transparency — Ensuring clarity in both how developed AI systems work and what they produce. 4/ Guidelines for Designing Interpretable AI Systems: -> Understand the context, impact, and domain-specific needs. -> Use standard interpretable techniques where possible. -> Address challenges with ‘black box’ AI systems. ->Focus on enhancing users’ capacity to understand AI outputs. 💡 Reminder: Ethical, human-centered AI isn’t just about compliance—it’s about building public trust and shaping a future we can stand behind. If you design, deploy, or manage AI systems, make space for meaningful conversations around ethics and safety. This guide is a fantastic starting point. 📣 Call to Action: Join the conversation in the comments and help shape the future of Responsible AI! #Cybersecurity101 #AISecurity #AI #Ethics #ResponsibleAI #AlanTuringInstitute

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🔐 Looking for a no-fluff guide to strengthening your data protection program? This short but solid PDF 👉 “Data Protection Checklist” by Hanım Eken (attached below) covers 12 essential areas every organization should review — whether you're just starting or reviewing your maturity. Here’s what’s included: 1️⃣ Data classification based on sensitivity 2️⃣ Role-based access & least privilege 3️⃣ Encryption of data at rest and in transit 4️⃣ Masking & anonymization in dev/test environments 5️⃣ DLP controls and endpoint protections 6️⃣ Secure retention and disposal practices 7️⃣ Backup integrity and offsite storage 8️⃣ Compliance with GDPR, CCPA and more 9️⃣ Employee training & awareness programs 🔟 Incident response, breach reporting, and regulatory readiness 🔁 Vendor risk management and contract clauses 📈 Continuous improvement based on risk assessments, lessons learned & audits ✅ Great as an internal checklist for IT/security teams ✅ Ideal for DPOs preparing for audits or DPIAs ✅ Quick reference for vendor due diligence or ISO 27001 reviews 📎 PDF is attached — share it with your team or bookmark it for your next GRC review. #DataProtection #PrivacyCompliance #GDPR #InfosecChecklist #SecurityAwareness #VendorRisk #CyberSecurity #DPOtools #RiskManagement #ISO27001 #CCPA

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Investigating the causes of cyber incidents affecting #ICS/OT environments, we often discover that most are due to minor issues, such as default vendor credentials or direct connections to the internet. For example, in a recent #cyber incident at a Norwegian dam, attackers exploited a weak password to gain access and manipulate the valves at Lake Risevatnet. Asset owners know these vulnerabilities shouldn’t exist, but maintaining focus on ICS cybersecurity is challenging given the vast number of details in OT environments from control system configurations to daily operational issues. ICS #Cybersecurity is often overlooked because of the think that “our organization is not a target.” But malware and attackers do not know borders. That’s why it’s crucial for critical infrastructure organizations to issue a clear OT cybersecurity framework and assign dedicated roles with clear responsibilities for OT/ICS cybersecurity. The ISA/IEC 62443 standards offer a practical roadmap to secure industrial control systems considering people, processes, and technology together and identifying clear roles and responsibilities. Start by assessing your current posture and aligning with these standards requirements --> Small steps today prevent big incidents tomorrow. Here are some ISA/IEC 62443 standards requirements : ISA/IEC 62443-2-1:2024 "Security program requirements for IACS asset owners" https://lnkd.in/dt-272ZS ISA/IEC 62443-3-2 "Security risk assessment for system design" https://lnkd.in/dt-272ZS ISA/IEC 62443-3-3 "System security requirements and security levels" https://lnkd.in/dphAQKQ2 ISA/IEC 62443-4-1 "Product security development lifecycle requirements" https://lnkd.in/dKynSdcm ISA/IEC 62443-4-2 "Technical security requirements for IACS components" https://lnkd.in/dJX-Yfpz #ICS #iec62443 #otcybersecurity #icscybersecurity #industrialautomation #cyber #oilandgas #cyberawareness #automation #cyberriskmanagement #TahseenSaber

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EU kicks off landmark AI law enforcement as first batch of restrictions enter into force - The EU AI Act, a first-of-its-kind regulatory framework for the technology, formally entered into force in August 2024. - On Sunday, the deadline for prohibitions on certain AI systems and staff technology literacy requirements officially lapsed. - Companies face fines of as much as 35 million euros ($35.8 million) or 7% of their global annual revenues — whichever amount is higher — for breaches of the EU AI Act. #EU #AI #EUAI #laws #policy #EUAIAct https://lnkd.in/e8QSWPKf

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Binarly REsearch team remains deeply committed to evolving Exploitation Maturity Score (EMS) by transforming it into a real-time threat signal that continuously adapts to the shifting landscape of exploitation. The EMS vs EPSS Percentile Scatter Plot offers a powerful visual intersection of exploitation evidence and statistical likelihood, helping security teams identify vulnerabilities that are both actively dangerous and likely to be targeted next. By plotting EMS scores against EPSS percentiles, organizations can clearly see which CVEs fall into high-risk quadrants, such as those with confirmed exploitation and high predictive probability. It also surfaces hidden risks: CVEs with low EPSS but high EMS that might otherwise be overlooked. This dual-axis view provides a more nuanced, action-ready understanding of risk, enabling smarter prioritization and faster response. This plot maps vulnerabilities across two dimensions: X-axis: EMS Score - real-world exploitation maturity (what is being exploited) Y-axis: EPSS Percentile - predictive likelihood of exploitation (what might be exploited soon) 🔥 Quadrant I: “Critical Now” (High EMS, High EPSS). Action: top priority, patch immediately. 📊 Quadrant II: “Niche Active Threat” (High EPSS, Low EMS). Action: Investigate, may target specific vendors, verticals, or firmware. 📉 Quadrant III: “Monitor” (Low EMS, Low EPSS). Action: Monitor or defer based on asset exposure. 📈 Quadrant IV: “Likely Exploited Soon” (Low EPSS, High EMS). Action: Preemptively patch or harden, especially if the CVE applies to exposed systems. More details: https://lnkd.in/dAB2Z87d

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