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GemDB has added a Visual Studio Code extension that lets developers and AI agents use Python code to generate schemas for its object database, so objects persist exactly as they exist in application code and any change to the code changes the schema without mapping, migration or a DBA.
Adding a field to an object now replaces what used to require join tables, foreign key definitions and backfill scripts, which matters as the pace of application development accelerates.
Read the full article on what GemDB Code includes and where it fits in DevOps workflows: buff.ly/p67yvoB
#Databases #DevOps #AIAgents #DeveloperTools
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"Don't ask what AI can do. Start with asking what you want AI to fix first." @ManageEngine's Rakesh Jayaprakash tells Mike Vizard where AI in IT operations should start.
▶ Watch the full interview: techstrong.tv/videos/intervi…
#ITOperations #AIAgents
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mabl today extended its test automation platform with a harness that enforces guardrails and testing standards for AI agents while using a knowledge graph to assess the impact of a code change, identify the tests needed to validate it and surface coverage gaps before a pull request is even made.
Its agents saved development teams about 100,000 engineering hours in the last 90 days, but as Belcher cautions, DevOps teams cannot rely on AI coding tools to validate the code they create.
Read the full article on why validating AI-generated code has become the bottleneck: buff.ly/77IVqvt
#DevOps #AITesting #SoftwareDevelopment #AIAgents
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Lenders have already lost $2.4 billion to synthetic identities and credit washing as of June, and TransUnion's new Credit Washing and Synthetic Fraud Scores are meant to catch those accounts while they're being opened rather than after.
Cybersecurity teams can embed the scoring in existing workflows, and Oscilar is already using it to automate credit risk decisions, because when AI keeps driving the cost of a fake identity down, speed is everything.
Read the full article on why the operating assumption is now that any new account is fake until proven otherwise: buff.ly/I8a38gw
#Cybersecurity #Fraud #TransUnion #SyntheticIdentity
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AI agent barriers, AI Field Day 9 and OCP infrastructure: @mvizard @ashimmy @SFoskett @NetworkingNerd @GuyCurriersFeed + Yvette Schmitter. #AgenticAI #AIFieldDay #OCP #EnterpriseAI #AIInfrastructure xitter.cf/i/broadcasts/1kKzDPjrl…
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The chairman and CEO of Everpure said today it's only a matter of time before IT architects must revisit how data is stored across the enterprise, because multiple copies of the same data sets create conflicting versions, and whenever an AI agent encounters those, the chances its output will be flawed only increase.
Resolving that will require a data plane through which data becomes accessible to any application or AI agent, and as Giancarlo puts it, the relationship between data and the application needs to be inverted.
Read the full article on why the data silos characterizing most IT environments will need to be greatly reduced: buff.ly/MtqWMQr
#AgenticAI #DataManagement #AIAgents #Everpure
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A Proofpoint survey found 97% of U.S. healthcare organizations experienced cyberattacks, with 74% reporting patient care disruptions. AI security gaps are adding to the risks.
Read more: buff.ly/hI717V3
#HealthcareCybersecurity #Cybersecurity #PatientSafety #DataSecurity #AISecurity
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AI reshapes work, tests agent guardrails and helps crack Enigma. @mvizard @jswartz @JeffReichCSO @chrisblask #AI #FutureOfWork #AIAgents #Cybersecurity #Codebreaking xitter.cf/i/broadcasts/1AxRnZAkp…
mvizard retweeted
Vijil has added DART, a module that deploys adversarial AI agents to probe other AI agents, launching waves of attacks that dynamically adjust to the target's responses and embedding into CI/CD workflows through APIs.
With organizations deploying hundreds or thousands of agents faster than cybersecurity teams can test them, the question the article leaves open is what level of risk appetite an organization actually has, because some security or compliance incident involving agents is all but inevitable.
Read the full article on what red teaming agents requires and where it fits in DevSecOps: buff.ly/bJgqLLm
#AI #AIAgents #Cybersecurity #DevSecOps
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AI safety lawsuits, ROI doubts and engineering beyond code: @mvizard @jswartz @NetworkingNerd @robertreeves + Drew Gutstein examine the evidence. #AISafety #AIROI #Engineering #Cybersecurity #EnterpriseAI xitter.cf/i/broadcasts/1AxRnZANP…
mvizard retweeted
A Palo Alto Networks survey found 95% of critical infrastructure security leaders fear AI-powered attacks, while 60% reported a major breach and legacy systems continue to hinder defenses.
Read more: buff.ly/LVg7ngt
#Cybersecurity #CriticalInfrastructure #AI #OperationalTechnology #AISecurity
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AI espionage, replicating models and escaping lock-in: @mvizard @jswartz @TeriRnNY @jpmorgenthal examine trust, control and migration. #AISecurity #Cybersecurity #IoT #AgenticAI #VendorLockIn xitter.cf/i/broadcasts/1dKrPrznv…
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Blitzy this week added a chat interface that lets DevOps teams express intent in natural language, with a software engineer describing a desired outcome that is automatically converted into a prompt assigning a task to an AI agent, and the ability to ask agents to explain how and why certain tasks were performed.
A Build Prompt Strength scoring tool evaluates the draft against defined quality standards, and the platform's knowledge graph spans architecture, dependencies, business logic and data flows mapped back to actual code, which becomes critical when a pull request can span hundreds of thousands of lines.
Read the full article on how agentic engineering handles review at that volume: buff.ly/Jym3xdt
#DevOps #AIAgents #AICoding #SoftwareDevelopment
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Qualys president and CEO Sumedh Thakar said today the time has come to define standards and best practices for deploying and securing AI agents, warning that the level of risk being created is substantially higher than many organizations appreciate.
The trouble is that standards take time to define and review, organizations keep rolling out agents anyway, and a framework covering isolation and network segmentation may only arrive after multiple catastrophic events force the conversation.
Read the full article on why agentic AI security needs a framework before the incident count climbs: buff.ly/A9mHy2n
#AI #AIAgents #AISecurity #Qualys #NIST
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AI software clones, labor disruption and deepfake fraud: Mike Vizard, Kate Scarcella, Sid Nag & @chrisblask examine the risks. #OpenSource #AI #FutureOfWork #Deepfakes #Fraud xitter.cf/i/broadcasts/1qxvveloX…
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ScienceLogic's 2.7 update to its Skylar AI platform adds deeper visibility and control over AI agents automating IT operations, with a catalog that traces how requests were routed through an MCP server and a gatekeeper tool that inspects and quarantines suspicious content before an agent sees it.
Very few IT teams let agents autonomously perform tasks without supervision, but as they gain confidence, those teams are evolving into supervisors of agents that handle work previously done by administrators and engineers.
Read the full article on why IT management is never going to be the same again: buff.ly/wX5iq7g
#Observability #AIAgents #AIOps #ITOperations
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BAND today made available a desktop application that lets developers manage and collaborate with multiple coding agents, since each one runs in isolation and coordinating tasks between them has been the hard part.
The app gives agents a way to communicate, divide responsibilities, delegate work and share context while giving developers a view of projects, blockers and progress, connecting agents across harnesses, machines and environments without standardizing on a single stack.
Read why coordination, not code generation, is the bottleneck DevOps teams now face: buff.ly/T2E1SmD
#DevOps #AIAgents #SoftwareDevelopment #AICoding
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SnapLogic has added agentic AI to its Intelligent Modernizer engine so that AI agents can reverse engineer the metadata of legacy middleware platforms, analyze workloads and generate pipelines without requiring a purpose-built connector for every source.
Platform and application providers have long counted on migration costs being too high to justify moving, which is why so much of IT budget goes to maintaining legacy systems instead of innovating, and reducing those costs could mean far more organizations finally make the move.
Read the full article on how agentic AI could break the lock-in legacy vendors depend on: buff.ly/IFdeU2w
#AI #AIAgents #SnapLogic #LegacyModernization
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Qualys revealed TruConfidence at its ROCon Americas conference, a remediation intelligence engine that uses multiple AI agents and models to assess which patches are actually critical to a specific IT environment, since only 1% of the 79,902 vulnerabilities disclosed this year are likely to have any real impact.
Too much time still gets wasted chasing celebrity vulnerabilities like Log4j when the Java logging tool often isn't even reachable from the internet, and ticket-based workflows were never designed for an era where exploits get reverse-engineered in hours.
Read the full article on why patch management has to be re-engineered now: buff.ly/IzrF9zr
#Cybersecurity #PatchManagement #Qualys #AgenticAI #AIAgents
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A Komprise survey of 500 technical decision makers finds that 68% feel their organization is maturing or has matured in AI adoption, yet only 28% can quantify a return on investment, and the gap comes down to data.
Only 4% have more than 70% of their unstructured data ready with schema for analysis, 49% struggle to find the right project data and clean out redundant, obsolete and trivial files, and as Komprise's COO puts it, data equals tokenomics, since the less relevant the data exposed to AI, the harder it becomes to justify an ROI.
Read the full survey findings on what is actually blocking AI returns: buff.ly/BmY22WA
#AI #EnterpriseAI #DataManagement #ROI