The API attack surface is now the number one blind spot for enterprises! Legacy defenses fail here, built for perimeter traffic, not business logic. An attacker with valid credentials can exploit simple logic flaws to bypass your firewall without a single alert. Don't just scan for known CVEs. Hyperfence AI-augmented VAPT simulates real-world attacker sequences, testing the integrity of your core business logic (authentication, authorization, and data flow). Proactive risk validation is the only way forward. Is your API logic truly secure? Learn more: https://lnkd.in/d4PaHuKd #Hyperfence #VAPT #APIsecurity #vulnerabilitymanagement #penetrationtesting
API attack surface: the blind spot for enterprises. How to secure your API logic with Hyperfence AI-augmented VAPT.
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WARNING: Your Observability Alerts Are Being Silently Bypassed. The F.A.F. architectural flaw causes schema drift, leading to a single point of failure in observability platforms. If your monitoring tool ingests corrupted data, critical security alerts fail to fire. Your system is blind, and you are non-compliant. If you rely on continuous monitoring, you are exposed. The private $5,000 Pre-emptive Remediation Package (P.R.P.) stops the silent alert failure. #SecurityMonitoring #Datadog #CISO #Compliance
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MCP Security Recommendations - Defense-in-Depth Strategy **** Layer 1: Protocol Level Implement mandatory authentication and authorization Add session management with timeout and revocation Enforce TLS for all communications Implement rate limiting and anomaly detection **** Layer 2: Application Level Input validation and sanitization for ALL user inputs Use parameterized queries for database operations Implement proper error handling without information disclosure Regular security audits and penetration testing **** Layer 3: AI-Specific Defenses Content filtering for prompt injection attempts Tool schema validation and signing Behavioral analysis for anomalous LLM interactions Separate contexts for different trust levels **** Layer 4: Infrastructure Network segmentation and firewall rules Comprehensive logging and monitoring Incident response procedures specific to AI systems Regular updates and patch management https://lnkd.in/gpddBr6a #TrustEverybodyButCutTheCards
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⚠️ Medium Risk Alert: Langfuse, a large language model engineering platform, has been found vulnerable to a security misconfiguration issue (CVE-2025-64504). Any authenticated user could potentially enumerate names and email addresses of users in another organization. No customer data is exposed or accessible. The vulnerability is related to Broken Object Level Authorization (OWASP API Top 10:2023). #Langfuse #SecurityMisconfiguration #OWASP #APIsecurity 🛡️ https://lnkd.in/e6-S4yzh
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Security shouldn’t be a one-time effort it should be a continuous process that adapts as systems evolve. At #RTCTek, automation forms the backbone of our Security Testing approach, ensuring organizations can stay ahead of threats while maintaining operational speed and compliance. Through automated penetration testing, vulnerabilities are detected early across web, mobile, and network layers before they can be exploited. Our API fuzzing tools rigorously test endpoints with thousands of unpredictable inputs to uncover hidden flaws that manual testing might miss. Beyond detection, our automation suites integrate continuous compliance validation aligned with major industry standards like GDPR, HIPAA, and PCI DSS, ensuring every release remains compliant and secure. These automated checks are seamlessly embedded into CI/CD pipelines meaning every update, every deployment, and every integration undergoes real-time security assessment. This creates a proactive security environment where risks are managed continuously rather than reactively. At Round The Clock Technologies, the goal is simple to build trust that never pauses and security that never sleeps. Explore more about our services at https://lnkd.in/dNZPvyTB #rtctek #roundtheclocktechnologies #securityautomation #devsecops #penetrationtesting #apifuzzing #complianceautomation #continuoussecurity
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The Model Context Protocol (MCP) is a standardized framework that bridges LLMs and enterprise systems with seamless automation. That bridge also expands the attack surface in ways defenders often overlook. In our latest Threat Labs blog, we explore two subtle, but devastating vectors: indirect prompt injection and RUG Pull attacks. Read the blog.
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Interesting: Cyberattacks now exploit over 60% of new vulnerabilities within 48 hours, outpacing traditional patch cycles. Threat actors use AI-driven automation to weaponize flaws at machine speed, while defenders remain constrained by manual processes. The question is: Our organizations are prepared to adopt policy-driven, automated remediation to close the gap and achieve machine-speed resilience? https://lnkd.in/dm8JMrm8
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OWASP Top 10 -2025🤩 Finally owasp ORG have released the top 10 vulnerabilities List of last 4 years Analysis🎉 TOP 10 List: A01:2025 – Broken Access Control -> Improper restrictions allow users to act outside their intended permissions, leading to data exposure or unauthorized actions. A02:2025 – Cryptographic Failures -> Sensitive data isn’t properly encrypted in transit or at rest, causing information disclosure risks and leaked api keys. A03:2025 – Injection -> Untrusted input gets interpreted as commands or queries (SQLi, xss, OS command injection), allowing attackers to control the system. A04:2025 – Insecure Design -> Security is missing at the architecture level — weak logic, flawed workflows, or missing controls before coding even begins. A05:2025 – Security Misconfiguration -> Default settings, unnecessary services, or improper hardening expose the application or server to attacks. A06:2025 – Vulnerable & Outdated Components -> Using outdated libraries, frameworks, or packages with known vulnerabilities. A07:2025 – Identification & Authentication Failures -> Weak login processes, poor session handling, or flawed authentication let attackers impersonate users. A08:2025 – Software & Data Integrity Failures -> Untrusted or manipulated code, configs, or pipelines cause integrity issues (e.g., supply-chain attacks). A09:2025 – Logging & Monitoring Failures -> Insufficient logs or ineffective monitoring prevents detection of attacks and delays incident response. A10:2025 – Server-Side Request Forgery (SSRF) -> Applications fetch external or internal URLs without validation, letting attackers pivot into internal systems. Stay curious. Stay updated. Stay secured, soldiers😎 #OWASPTOP10 #2025 #NEW #EthicalHacking #BugBounty
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False Positives Aren’t the Enemy—They’re the Lesson Security scans will flag things that aren’t real issues. That’s expected when tools lack full context or rules are too strict. The goal isn’t zero alerts—the goal is meaningful alerts. Mature teams tune their tools and learn from the noise: Calibrate rules with developers and security together. Suppress or mark known-safe patterns. Keep scanners and rulesets updated. Don’t fail builds on low or informational findings. We don’t halt delivery until the signals are trustworthy, and we make the signals trustworthy over time. Security maturity isn’t measured by how many findings you report—it’s measured by how well you interpret them. #DevSecOps #AppSec #SecurityTools #FalsePositives #semgrep #ContinuousImprovement #DevSecOpsJourney
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59 % of organizations experienced serious managed file transfer (MFT) incidents last year 📁 That stat jumped out of the 2025 MFT Survey Report. Key gaps? Unencrypted data at rest, limited visibility into transfers, and fragmented systems across email, file sharing, and MFT. What’s alarming is that many teams believe they’re protected—but the numbers tell a different story. If you handle large-volume file transfers, now might be the moment to ask: • Do we truly log and monitor all transfers? • Are we encrypting data not just in motion but when it sits? • Are all our channels unified or operating in silos? It’s time to move from ticking boxes to real protection. #MFT #DataSecurity #Compliance #Audit #RiskManagement #Kiteworks
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Understanding IT: Inside PCI 4.0 – Monitoring & Detection How long would it take your team to notice if something went wrong? That question separates awareness from assumption. Monitoring and detection are the heartbeat of PCI DSS 4.0. They’re what transform compliance from static documentation into a living, responsive process. Under Requirement 10, PCI DSS 4.0 defines logging and monitoring as essential for one simple reason — you can’t protect what you can’t see. Security events aren’t always obvious. They start as small deviations — an unexpected login, a file modified after hours, a process that runs longer than it should. Without proper monitoring, those subtle signals go unnoticed until they become real incidents. What PCI 4.0 expects: Comprehensive Logging (Req 10.2 / 10.3): Every user action, system event, and access attempt must be recorded and traceable. Daily Review (Req 10.4.2): Logs must be reviewed or correlated daily to detect anomalies. Automation helps, but accountability must remain human. Time Synchronization (Req 10.6.1): Accurate timestamps align events across systems, giving you a true timeline when something happens. Alerting & Reporting (Req 10.7): Real-time alerts for critical events — failed logins, system changes, or unauthorized access attempts. Effective monitoring turns your environment into a conversation of signals — each event telling you whether your defenses are holding or being tested. Detection turns those signals into insight — bridging the gap between what you think is happening and what actually is. Together, they define awareness. And awareness is what turns compliance into confidence. --- #UnderstandingIT #TDYIT #PCICompliance #PCIDSS #Monitoring #Detection #DataSecurity #InformationSecurity
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