HTTP/2 Rapid Reset (CVE-2023-44487) highlights a web-scale protocol abuse pattern for DDoS

Cloudflare documented a record-scale DDoS wave that abused HTTP/2 stream cancellation (RST_STREAM) to generate extreme request rates with a relatively small botnet. The “Rapid Reset” technique (tracked as CVE-2023-44487) exploits HTTP/2’s ability to open many concurrent streams and then instantly cancel them, letting attackers recycle concurrency slots faster than some servers and intermediaries can clean up state. Cloudflare said attacks began Aug. 25, 2023 and peaked just above 201 million requests per second, observed alongside similar activity reported by Google and AWS, prompting coordinated disclosure to vendors and critical infrastructure providers. Read more

OWASP formalizes a shared security baseline for GenAI apps with the Top 10 for LLM Applications (now part of the broader GenAI Security Project)

OWASP’s Top 10 for Large Language Model (LLM) Applications has been published as a community security baseline that catalogs common failure modes in GenAI applications—ranging from prompt injection to model theft. OWASP says the effort has expanded beyond a list into the OWASP GenAI Security Project, a broader open initiative covering risks across LLMs, agentic systems, and AI-driven applications, with a large global contributor community and separate project resources and participation tracks. Read more

NIST AI RMF: the U.S. government’s voluntary baseline for AI trust, security, and resilience—now expanding to generative AI and critical infrastructure

NIST’s AI Risk Management Framework (AI RMF) established a shared, voluntary vocabulary and process model for managing AI risks across the lifecycle—supporting “trustworthiness” goals such as safety, security, and resilience. Since the AI RMF 1.0 release on Jan. 26, 2023, NIST has expanded implementation support via the AI RMF Playbook and Resource Center, published a Generative AI Profile (NIST-AI-600-1) in July 2024, and, as of Apr. 7, 2026, issued a concept note for a forthcoming profile focused on Trustworthy AI in Critical Infrastructure—signaling growing expectations that AI governance and security controls will be tailored to high-consequence environments. Read more

AWS frames “AI sovereignty” as control-and-choice across the AI stack, highlighting Nitro isolation, Bedrock data-use commitments, and sovereign deployment options

In a Security Blog post, AWS outlines how it approaches “AI sovereignty” as an extension of digital sovereignty, centered on data sovereignty (including residency and operator access restrictions) and operational sovereignty (including resilience and independence). AWS positions its sovereignty offering as “control and choice” across the AI stack—deployment location options (including on-premises and isolated deployments), model/service selection, and governance controls. The post highlights AWS Nitro System isolation properties for EC2 instances (including AI accelerator instances), a commitment that Amazon Bedrock customer inputs/outputs are not used to train Amazon Nova or third-party models, and references third-party validation of Nitro’s design by NCC Group. AWS also notes its ISO/IEC 42001 accredited certification coverage for certain AI services and a 2025 surveillance audit with no findings, framing these as assurance mechanisms for customers with sovereignty and compliance requirements. Read more