How continuous offensive testing secures AI systems

As we navigate the complexities of a rapidly evolving global landscape, one thing is clear: AI is revolutionizing the way we approach national security intelligence 🚀. With its ability to process vast amounts of data and identify patterns, AI is helping agencies stay one step ahead of potential threats. This technology is not only enhancing our ability to predict and prevent attacks, but also improving our response times and overall effectiveness 🕒. As we continue to push the boundaries of what's possible with AI, it's exciting to think about the potential impact on national security 🌎. What role do you think AI will play in shaping the future of national security intelligence? #AIinSecurity #NationalSecurity #IntelligenceInnovation #FutureOfSecurity

AI is built to mimic human intelligence; therefore, AI's vulnerabilities mimic human vulnerabilities. That's why Proofpoint is evolving its leading platform to secure humans and agents alike. In this video, Proofpoint's Ryan Kalember shared with NYSE how we are delivering value to CISOs as they navigate the critical requirements of the secure #agenticworkspace.

AI can be fooled — and that’s a serious security problem. In my latest explainer, I break down how hackers manipulate AI systems using something called Adversarial AI. It’s the digital equivalent of optical illusions — but with real-world consequences. 🚗 Self-driving cars misreading stop signs. 📧 Spam filters letting malicious emails through. 🔐 Security tools missing actual intrusions. As AI becomes part of critical systems, understanding these weaknesses isn’t optional — it’s essential. In this video, I unpack: ✅ How adversarial attacks work ✅ Why they’re a growing cybersecurity risk ✅ What the AI Act and compliance frameworks are doing about it ✅ How we can build more resilient AI defenses 🎥 Watch here: https://lnkd.in/eA7_6Rcr #AI #Cybersecurity #AdversarialAI #MachineLearning #AICompliance #InformationSecurity #AIAttacks #TechExplainer

Hack an AI bank. Learn to defend one. Meet FinBot, the OWASP GenAI Security Project’s Agentic Security CTF built to make agent risks tangible. In a live financial-services sandbox, you’ll practice Goal Manipulation attacks, capture flags, then harden the system with layered mitigations. It’s hands-on, not hand-wavy. Think of it as the “Juice Shop for Agentic AI.” Created by Helen Oakley and Allie Howe, FinBot is where builders, researchers, and defenders can stress-test autonomous agents and turn lessons into secure defaults. Ready to play for real? 🌐 Live: owasp-finbot-ctf.org 💻 Repo: https://lnkd.in/gt2X2qNf 📺 Intro: youtu.be/UORcoidb4VY

From Professor Phillip "We must recognize that we are past the point of no return with AI. We have to channel its growth and evolution, with guardrails, not roadblocks...and we must negotiate terms with it." From EY "AI is sprinting ahead and cybercriminals are keeping pace. Hackers are using AI to scale attacks like startups scale apps — fast, cheap, and global. One wrong move, and your enterprise is bleeding millions. So what’s the play? Guardrails. Not roadblocks. Smart, flexible cybersecurity frameworks that let AI thrive without inviting disaster. It’s not about slowing down, it’s about building trust at full speed. From securing third-party models to hardening internal systems, the goal is simple: make AI adoption safer, smarter, and smoother." https://lnkd.in/gseEgFjv

It’s been a while since I posted, but this piece by Bruce Schneier and others on Autonomous AI Hacking and the Future of Cybersecurity is worth sharing. Their argument is simple but unsettling: attackers are beginning to use autonomous AI agents to automate the entire kill chain. Reconnaissance, exploitation, lateral movement, all at machine speed and scale. It’s not science fiction. It’s happening quietly in the background while many of us are still tuning our playbooks for human-paced attacks. The core message? Speed, scale, and adaptability are becoming the new battleground. The defenders who rely on manual analysis or static controls will be outpaced, not outsmarted. A few reflections for defenders: • Assume automated attacks. Our threat models need to evolve beyond human timeframes. • Accelerate detection and response. If attacks happen in seconds, our containment can’t take hours. • Automate what we can. SOAR, response orchestration, adaptive access controls — these aren’t luxuries anymore. • Focus on visibility. Autonomous agents thrive in the dark corners of unmonitored infrastructure. • Keep governance in step. “AI-enabled attacker” should be a scenario in every modern risk register. This isn’t a doom story. It’s a wake-up call. If AI changes the way attackers operate, it must also change how we defend. I’m curious how others are starting to prepare for this shift, are you already seeing AI-driven patterns in attack telemetry, or is it still theoretical in your world? https://lnkd.in/eeTbmrvd

Marc Zissman shared how security leaders can be thinking about the threats to AI and how security concepts can be applied.

The adoption of Generative AI is picking up speed, yet many organizations are neglecting security. A mere 37% evaluate risks prior to deployment, and in the first half of 2025, more than half of MSP attacks were phishing-related, primarily fueled by AI. Discover how to protect AI from the start: https://gag.gl/DvpkJf

Have you heard about the AI chatbot that was tricked into selling a 2024 Chevy Tahoe for $1? It’s a headline, but it’s also a warning. Today's attackers manipulate AI apps into giving away more than trucks. A clever prompt can expose sensitive data and intellectual property. We've identified four critical AI vulnerabilities — and ways to secure them — so you can make sure your AI bots and agents operate safely. Read our special report, Securing AI in the Age of Rapid Innovation, to get up to speed on AI threats. https://ow.ly/A8XI50XoFWv

AI isn’t just changing the game—it’s rewriting the rules. As adversaries weaponize AI to scale attacks across critical infrastructure, defenders must shift from human-speed response to machine-speed resilience. View the full report from Anthropic below. #getcyberresiliency #GhostlineStrategies https://lnkd.in/eUHRcUBh