@mvizardi
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Chief Content Officer for Techstrong Group, publisher of https://nitter.cf/t.co/799DaDAYmu, Security Boulevard, Cloud Native Now, https://nitter.cf/t.co/2XFXIJyVJ3 and co-host for Techstrong Gang
New York, USA
Joined March 2008
- Tweets21.8K
- Following743
- Followers10.2K
- Likes4.7K
mvizard retweeted
Vicarius this week added ScriptAI, an AI tool that generates and validates the script code needed to detect and remediate a vulnerability in under an hour, extending its vRx platform with agentic pipelines that don't wait on a vendor patch.
The tool arrives as adversaries are using AI to create exploits in a matter of hours, while existing manual processes for applying controls are simply not able to keep pace.
Read the full article on the remediation race and why vulnerability ratings are losing their value: buff.ly/A8ZEMG2
#Cybersecurity #AI #VulnerabilityManagement #AppSec
mvizard retweeted
AI power, FBI data-theft claims and extremist grooming in games: @mvizard @jswartz @AndiMann @TeriRnNY examine who sets the safeguards. #AI #Cybersecurity #Roblox #Governance #OnlineSafety nitter.cf/i/broadcasts/1lKQRWXOr…
mvizard retweeted
Application developers don't always scan each package before incorporating it, and now coding agents install packages on their own, which makes install time the first control point well before a scanner ever sees the code.
Cycode is providing early access to Workstation Protection, which applies two controls in real time, checking packages against a threat intelligence feed and blocking anything updated too recently to have been properly vetted.
See why package policy is now an agent governance decision: buff.ly/1gFQkn9
#DevSecOps #SupplyChainSecurity #AppSec #Cycode
mvizard retweeted
Arm has created an online portal making optimized models and tools discoverable to both AI coding agents and human developers building applications that run on its processors, with pre-trained models from Alibaba, Google and Ultralytics accessible via MCP.
Processor vendors are especially keen right now to expand their ecosystems, since the next wave of AI will be far more diverse than the GPU-heavy first, and Arm is betting its chips will increasingly handle both training and the inference engines embedded in applications.
Read why the portability-versus-performance tradeoff is about to land on every application team: buff.ly/ybsTuWq
#AI #Arm #EdgeAI #AIApplications #Semiconductors
mvizard retweeted
Splunk unifies observability, security, and agentic AI. AI's energy bill hits Congress. King Charles warns AI leaders in Scotland to keep AI in service of humanity. @MVizard with Jack Poller, @tracyragan, Jeff Reich, @CamberleyBates #Splunk #AI #Energy nitter.cf/i/broadcasts/1YGNrbjaE…
mvizard retweeted
Talentica Software this week launched DevX AI Pods, a managed software delivery service that uses AI agents trained to supply the context needed to deploy applications built with AI coding tools at scale.
The agents evaluate code against a CCCR framework while more than 600 Talentica engineers validate the output, addressing a gap where AI tools generate more code without actually increasing the rate at which applications ship.
Read the full article on the service and the survey data behind the code volume problem: buff.ly/exiItJq
#AI #DevOps #SoftwareDevelopment
mvizard retweeted
AWS has added a harness to its open source Strands SDK that gives developers a fully assembled, customizable AI agent as a foundation, complete with shell, file and web tools, long-term memory and a context window capability that can cut token consumption by as much as 28%.
In effect, it is now possible to create a working agent with one line of code, and as it becomes easier to build agents, the focus of DevOps teams turns more toward deployment, though that pace will still be limited by what they can observe, control and prove.
Read the full article on the Strands harness and what agentic engineering at scale will demand: buff.ly/JeGXW0M
#AWS #AIAgents #OpenSource #DevOps
mvizard retweeted
Mike Vizard interviews ABBYY’s Jon Knisley on why falling AI token prices can still drive higher enterprise spend—and why workflow value, accuracy and ROI matter more than model cost alone.
Watch: techstrong.tv/videos/ai-lead…
mvizard retweeted
AI agent behavior is non-deterministic by definition, so a single prompt change can degrade response quality even when standard metrics show no errors, and without full trace visibility, diagnosing why an agent took an unexpected path becomes guesswork.
AWS's new CloudWatch Omni captures every step in a structured timeline with built-in evaluations for correctness, coherence and tool selection, aiming to give teams a unified view regardless of how the agent was built.
Read more about how AWS is approaching agent observability: buff.ly/guZrSxm
#AWS #Observability #AIAgents
mvizard retweeted
🏆 Nominations are officially open for the 10th Annual DevOps Dozen Awards.
For a decade, the DevOps Dozen has recognized the people, projects, tools and platforms making an impact on software delivery.
This year features 24 award categories across two divisions:
🔹 9 Community Awards — free to enter
🔹 15 Tools & Services Awards — $300 per nomination
Know a leader, team, project or solution that deserves recognition? Send in your nomination.
📅 Nominations close October 18, 2026 at 5 PM ET.
👉 Submit your nomination: devopsdozen.com
#DevOps #DevOpsDozen2026 #DevOpsAwards #SoftwareDelivery
mvizard retweeted
President Trump and former President Obama split on AI. Newsom acts on AI safety while D.C. stalls. NVIDIA vows to double chip sales by 2027 as Huawei charges. And robots hit workplaces faster than the rules. @MVizard hosts @SFoskett and @YveSchmitter. #AI nitter.cf/i/broadcasts/1OGwbnAPd…
mvizard retweeted
HackerOne is integrating Anthropic’s Mythos AI into its security platform as organizations struggle to keep pace with a growing backlog of vulnerabilities.
Read more: buff.ly/a2pgEtz
#HackerOne #Anthropic #DevSecOps #ApplicationSecurity #AISecurity
mvizard retweeted
Andus Labs identified 25 barriers to successful enterprise AI adoption, with inadequate human oversight ranking as the biggest obstacle organizations face.
Read more: buff.ly/xyrGtha
#AIAdoption #EnterpriseAI #AIGovernance #AI #FutureOfWork
mvizard retweeted
Mike Vizard interviews Auvik VP Steve Petryschuk at Black Hat 2026 on AI-powered cyberattacks, erased forensic evidence and why network visibility and trusted baselines matter.
Watch: techstrong.tv/videos/black-h…
mvizard retweeted
ArmorCode added four Anya AI agents to help security teams assess risk, prioritize vulnerabilities and coordinate remediation as cyberattacks accelerate.
Read more: buff.ly/koO7akW
#ArmorCode #Cybersecurity #VulnerabilityManagement #AgenticAI
mvizard retweeted
Splunk plans to release an open source AI model trained to analyze log data, helping DevOps teams reason across growing volumes of telemetry more efficiently.
Read more: buff.ly/s4zgSJT
#Splunk #Observability #OpenSource #DevOps #OpenTelemetry
mvizard retweeted
Mike Vizard interviews Red Hat AI Platforms Head of Product Tushar Katarki on enterprise AI at scale, vLLM, distributed inference, AI gateways and governance.
Watch: techstrong.tv/videos/ai-lead…
mvizard retweeted
Splunk has open sourced Token Meter, a tool that reads local Claude Code and Codex logs to surface live cost and activity for an AI agent session, pricing trace files against public model rates and flagging long-running tasks that could run on a cheaper model.
It arrives as a Futurum Group survey finds just under half of organizations are over their AI budgets, with token volumes climbing even as the cost of an individual token keeps falling.
Read the full article on Token Meter and the push to keep AI coding costs under control: buff.ly/v7eEDU6
#Splunk #Cisco #AI #DevOps #AICosts
mvizard retweeted
Existing DevOps workflows designed for humans will not scale when developers are soon creating 15 to 20 pull requests a week, which is the premise behind Harness previewing a revamped Software Factory platform built around four core AI agents handling delivery, security testing, runtime security and cost management on top of a knowledge graph now tracking 567 entity types and 29 billion context updates a month.
Harness also previewed Vibe Mode for citizen developers and a Flex Pricing option with shared credits across modules, though it remains unclear how quickly teams will actually push agents into their pipelines.
Read the full article on the agentic engineering era and what it means for DevOps teams: buff.ly/Tn2OCVw
#DevOps #AIAgents #Harness #PlatformEngineering
mvizard retweeted
AI agents are becoming event-driven.
Mike Vizard talks with AWS Senior Principal Software Engineer Clare Liguori about stateless MCP, triggers and always-on agents.
Watch: techstrong.tv/videos/ai-lead…