Join @gattaca, Global Advisory CISO at @1Password, live on the #BlackHat2026# PULSE_STAGE/05: "Standing Access Is the Problem. AI Agents Just Made It Worse." If your agents still have standing access, this is the session to drop in with your questions. 📅 Today | 11:25AM 📍 PULSE_STAGE/05 Add to your schedule: #BlackHat2026# #IdentitySecurity# #ZeroTrust# #AIAgents# #BlackHat#

Gartner projects that through 2029, more than 50% of successful attacks on AI systems will exploit access control weaknesses. At #BlackHat2026#, Dave Lewis, 1Password Global Advisory CISO, breaks down how a compromised AI agent is fundamentally different from a leaked password and why standing access is becoming one of the biggest security risks organizations face. You'll also see how 1Password replaces standing access with time-limited, task-scoped credentials that are tied to verified identity and revoked automatically when the work is complete. "Standing Access Is the Problem. AI Agents Just Made It Worse." 🗓️ Thursday, August 6 | 11:25am 📍 PULSE_STAGE/05 Add this session to your Black Hat schedule: #BlackHat# #IdentitySecurity# #ZeroTrust# #AIAgents# #1Password#

Ready to simplify your network security? Join our webinar to discover how Cloudflare One delivers the unified platform you need. We’ll cover high-impact use cases: replacing VPNs with Zero Trust and securing internet access with DNS filtering. Register now.

It's Agents Week. This week, we're shipping across the full agent stack: the execution layer, the development lifecycle, zero trust security, the agentic web, and everything that connects agents to humans. To celebrate, we're offering $100 off Cloudflare Connect San Francisco (October 19-21). Use code CFAGENTS26 at registration - valid through August 9.

⚡️AI is forcing civilization to build an immune system for machine-amplified biology. The same capability that lets models search biological possibility space for new enzymes, proteins, drugs, and genetic mechanisms also lowers the cost of searching that space for dangerous ones. That changes biodefense completely. Historically, biology moved slowly enough that defense could be organized around institutions, experts, stockpiles, reporting chains, and outbreak response. Once machine intelligence accelerates design, synthesis, iteration, and interpretation, that model becomes too slow. The defensive system has to become continuous. Air is sampled. Genetic material is sequenced. Anomalous signatures are detected. Models classify what appears. Networks compare locations. Response begins before hospitals become the sensor. That is what Argus represents conceptually. The environment itself becomes monitored for biological computation. And this is where the AI transition gets deeper than software. Cybersecurity created antivirus, intrusion detection, zero-trust architecture, continuous monitoring, threat intelligence. AI-enabled biotechnology may force the same architecture onto physical reality. Buildings, airports, cities, military bases, hospitals, transportation hubs and eventually ordinary infrastructure could develop something resembling a biological nervous system, continuously asking: What is in the air right now? Is it normal? Where did it come from? Is it evolving? How quickly is it spreading? That infrastructure becomes increasingly necessary because machine intelligence compresses the time between idea and capability. The most important race may therefore become symmetrical: AI discovers biology faster. AI must also detect biology faster. That is why Anthropic people investing here is such a clean signal. The people closest to frontier models appear to understand that sufficiently powerful AI eventually creates externalities that cannot be contained inside the model itself. You cannot solve every biological risk with alignment rules. Once knowledge escapes into the world, defense has to exist in the world. Sensors. Sequencing. Attribution. Manufacturing. Countermeasures. Rapid response. So the deeper architecture emerging is: AI becomes the microscope and the immune system. One branch explores the biological unknown. Another watches for what exploration unleashes. And there is a darker implication underneath that. Once civilization begins installing permanent biological detection infrastructure because intelligence has become powerful enough to manipulate biology cheaply, we have crossed into a world where the atmosphere itself becomes part of the security perimeter. Cybersecurity taught us to monitor networks. The AI era may teach us to monitor life.

On Aug 28, SlowMist Founder @evilcos delivered a keynote at the Cypher Asia Intelligent Crypto Finance Summit: “Gray Rhinos and Black Swans in the Crypto World.” 🦏🦢 Key takeaways from the talk: 🔒 Four common asset risks: funds being stolen, scammed, lost, or frozen — each with different root causes 👀 Why many so-called “Black Swans” are actually long-ignored “Gray Rhinos” 🛡️ Zero Trust and continuous verification across people, permissions, devices, applications, code, and processes 🔍 Making risk identification, monitoring, and verification part of everyday security — not a one-off audit 🔑 Key message: Security is not a one-time fix. The real risks are often those that have already surfaced and been discussed, yet remain unresolved. Assume nothing is trusted by default, keep verifying, and continuously adapt security measures as risks evolve. 📖 Learn more:

Yesterday, @DepDNILukas delivered keynote remarks at #DoDIIS#, arguing the IC can’t keep using rules built for a slower era. Adversaries are innovating at speed—so must we. He discussed three priorities: accelerating AI under NSPM-11, implementing Zero Trust across IC networks, and the IARPA Solutions Marketplace that helps non-traditional innovators reach the mission without the usual barriers. The core mission is unchanged: deliver timely, actionable intelligence to warfighters and policymakers. Everything else is about getting better at it—faster.

On July 23, ZAN and @MetaEraCN co-hosted an AMA titled "The Dark Forest in the AI Agent Era: When Agents Begin to Manage Assets." ZAN Global Head of Partnerships Alexandra Wang shared key insights on the convergence of AI Agents and Web3. AI Agents are shifting from conversation to action. Human roles are no longer about executing every transaction step by step, but about setting goals and defining authorization boundaries. One person working with multiple Agents may be able to accomplish what once required an entire team. Beyond trading, Agents are also becoming autonomous participants in on-chain economic activity, while DAO governance and data value return are accelerating toward real-world adoption. Security is a foundational infrastructure issue. Once Agents gain access to wallets and payment capabilities, the risks become multi-layered: execution failures, permission abuse, and accountability gaps. The industry should build fine-grained permission controls, Clear Signing mechanisms, and a zero-trust security framework. Infrastructure needs to be redesigned. Identity, payments, security, and compute trust all need to be restructured for the Agent economy. ZAN's goal is to lay a solid foundation for this new world, enabling Agents to have trusted identities, executable payments, and secure collaboration capabilities. When AI begins to hold assets and make transactions, infrastructure becomes the trust foundation of the new world. #AI# #AIAgents# #Web3# #Blockchain# #DigitalAssets# #Security#

Agentic AI systems are creating an explosion of non-human identities, many of them over-privileged and secured with static credentials. That combination introduces new risks, from credential leakage to unauthorized access at machine speed. In this webinar, HashiCorp and AWS experts Nicholas Jackson, David Mills, and Nic Gumina will discuss: • Why traditional IAM and perimeter security struggle in agentic architectures • How dynamic, short-lived credentials reduce risk • What identity-first security looks like for autonomous agents • How to apply zero trust principles across modern AI systems Register today: