Akamai and Aqua Security partner to secure AI apps

AI and autonomous systems are transforming how applications operate—but they also introduce entirely new security challenges. Traditional application security testing methods like SAST and DAST weren’t built to detect threats such as prompt injections or model manipulation unique to intelligent agents. It’s time for a fresh approach that understands and protects the complexity of these evolving systems. Our latest insights explore what the future of application security must look like in an AI-driven world. Learn More: https://hclsw.co/oh2p6w #AI #HCLSoftware #ApplicationSecurity #AppSec #ApplicationSecurityTesting

Deploying Copilot requires a strong security foundation. Our partner Ravanty is using the AvePoint Confidence Platform to deliver deeper security assessments and ensure secure AI adoption. Check out how they're helping customers: avpt.co/45wSnYz #AVPTsecure #AIReadiness #Microsoft365Copilot

Today, we announced a major shift for #NDR (and #XDR) with the industry’s first mixed Network and Endpoint eXtended Telemetry (NEXT) agent — collecting both traffic and process telemetry, all powered by Self-Learning AI. Why does this matter? 🔍 Process-level attribution: Network threats are now natively mapped to their process origin — no stitching, no manual integrations, no delays. 🧠 AI-led investigations rival XDR: Our Cyber AI Analyst performs L2 investigations using process context, surfacing only the most critical threats — rivaling traditional XDR outcomes. 🚨 Augments EDR detection: Self-Learning AI augments existing EDR to detect and confidently escalate LOTL and stealthy endpoint threats — validated through AI-led L2 analysis. 🌐 Cross-domain Novel Threat Detection: Darktrace now detects threats across email, SaaS, network, OT, cloud, identity, remote workers, and now endpoint process — a true full-spectrum defense. With breaches involving 0-days and undisclosed vulnerabilities at an all-time high, this innovation couldn’t be more timely. It builds on our legacy of detecting novel threats by learning your unique business — not just relying on threat intel. This follows last month’s launch of the industry’s first cloud forensics platform — capturing memory and disk from cloud assets. We’re on a roll redefining #TDIR Check out Mikey Anderson’s breakdown of this innovation, or explore the full set of updates across #OTSecurity, #CTEM, and #ASM below 👇 🔗 https://bit.ly/4owAGAj

Mikey A. breaking it down for all of us. Fantastic new #innovations again (!!) from Darktrace We’ve brought industry-first endpoint visibility and enhanced agentic AI to the ActiveAI Security Platform™, powered by Self-Learning AI.   Now, novel threat detection and autonomous investigations extend across email, network, OT, cloud, and SaaS — delivering deeper endpoint visibility than ever before.   See how these innovations close the gaps attackers exploit! 👇 🔗 https://lnkd.in/gZMMHGyc

One badge. Two people. Big problem. Unauthorized entry can happen in seconds—one person badging in, another quietly following behind. It’s a common access control gap that can compromise safety and compliance. Lumana detects and alerts teams the moment a tailgating event occurs, helping prevent unauthorized access. Integrated with leading access control systems, Lumana unifies video and entry data into a single platform, enabling faster responses and clearer investigations. Learn more about Lumana’s AI video security: https://bit.ly/4otk6S8 #AI #VideoSecurity #AccessControl #PhysicalAI #Tailgating #SecurityOps #SmartBuildings

In this clip from Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI, Diptanshu Purwar and Madhav Aggarwal explain why external guardrails are essential for defending against bias, model drift, and emerging multimodal threats. Jamison Utter introduces the next focus in the A10 security series—API and application security for AI-enabled systems—where traditional and AI security intersect to protect the protocols that power intelligent applications.

In this clip from Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI, Diptanshu Purwar and Madhav Aggarwal explain why external guardrails are essential for defending against bias, model drift, and emerging multimodal threats. Jamison Utter introduces the next focus in the A10 security series—API and application security for AI-enabled systems—where traditional and AI security intersect to protect the protocols that power intelligent applications.

In this clip from Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI, Diptanshu Purwar and Madhav Aggarwal explain why external guardrails are essential for defending against bias, model drift, and emerging multimodal threats. Jamison Utter introduces the next focus in the A10 security series—API and application security for AI-enabled systems—where traditional and AI security intersect to protect the protocols that power intelligent applications.

In this clip from Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI, Diptanshu Purwar and Madhav Aggarwal explain why external guardrails are essential for defending against bias, model drift, and emerging multimodal threats. Jamison Utter introduces the next focus in the A10 security series—API and application security for AI-enabled systems—where traditional and AI security intersect to protect the protocols that power intelligent applications.

In this clip from Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI, Diptanshu Purwar and Madhav Aggarwal explain why external guardrails are essential for defending against bias, model drift, and emerging multimodal threats. Jamison Utter introduces the next focus in the A10 security series—API and application security for AI-enabled systems—where traditional and AI security intersect to protect the protocols that power intelligent applications.